diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1d4e63f3e..d085bc835 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -280,8 +280,8 @@ if (LLAMA_CUBLAS)
         # 52 == lowest CUDA 12 standard
         # 60 == f16 CUDA intrinsics
         # 61 == integer CUDA intrinsics
-        # 70 == (assumed) compute capability at which unrolling a loop in mul_mat_q kernels is faster
-        if (LLAMA_CUDA_DMMV_F16)
+        # 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
+        if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16)
             set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics
         else()
             set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
diff --git a/Makefile b/Makefile
index 100614b4b..e0528aeee 100644
--- a/Makefile
+++ b/Makefile
@@ -340,6 +340,9 @@ llama.o: llama.cpp ggml.h ggml-alloc.h ggml-cuda.h ggml-metal.h llama.h llama-ut
 common.o: examples/common.cpp examples/common.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
+console.o: examples/console.cpp examples/console.h
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
 grammar-parser.o: examples/grammar-parser.cpp examples/grammar-parser.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
@@ -353,7 +356,7 @@ clean:
 # Examples
 #
 
-main: examples/main/main.cpp                                  build-info.h ggml.o llama.o common.o grammar-parser.o $(OBJS)
+main: examples/main/main.cpp                                  build-info.h ggml.o llama.o common.o console.o grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
 	@echo
 	@echo '====  Run ./main -h for help.  ===='
@@ -411,13 +414,13 @@ benchmark-matmult: examples/benchmark/benchmark-matmult.cpp build-info.h ggml.o
 vdot: pocs/vdot/vdot.cpp ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $^ -o $@ $(LDFLAGS)
 
-tests/test-double-float: tests/test-double-float.c build-info.h ggml.o llama.o common.o $(OBJS)
+tests/test-double-float: tests/test-double-float.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
 
-tests/test-grad0: tests/test-grad0.c build-info.h ggml.o llama.o common.o $(OBJS)
+tests/test-grad0: tests/test-grad0.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
 
-tests/test-opt: tests/test-opt.c build-info.h ggml.o llama.o common.o $(OBJS)
+tests/test-opt: tests/test-opt.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.txt,$^) -o $@ $(LDFLAGS)
 
 tests/test-quantize-fns: tests/test-quantize-fns.cpp build-info.h ggml.o llama.o common.o $(OBJS)
diff --git a/README.md b/README.md
index 515c80c42..2ece294b7 100644
--- a/README.md
+++ b/README.md
@@ -88,6 +88,7 @@ as the main playground for developing new features for the [ggml](https://github
 - [X] [Pygmalion 7B / Metharme 7B](#using-pygmalion-7b--metharme-7b)
 - [X] [WizardLM](https://github.com/nlpxucan/WizardLM)
 - [X] [Baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) and its derivations (such as [baichuan-7b-sft](https://huggingface.co/hiyouga/baichuan-7b-sft))
+- [X] [Aquila-7B](https://huggingface.co/BAAI/Aquila-7B) / [AquilaChat-7B](https://huggingface.co/BAAI/AquilaChat-7B)
 
 **Bindings:**
 
@@ -492,6 +493,9 @@ Building the program with BLAS support may lead to some performance improvements
 # obtain the original LLaMA model weights and place them in ./models
 ls ./models
 65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model
+  # [Optional] for models using BPE tokenizers
+  ls ./models
+  65B 30B 13B 7B vocab.json
 
 # install Python dependencies
 python3 -m pip install -r requirements.txt
@@ -499,6 +503,9 @@ python3 -m pip install -r requirements.txt
 # convert the 7B model to ggml FP16 format
 python3 convert.py models/7B/
 
+  # [Optional] for models using BPE tokenizers
+  python convert.py models/7B/ --vocabtype bpe
+
 # quantize the model to 4-bits (using q4_0 method)
 ./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin q4_0
 
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index 4b1f1cf44..a7b26776a 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -13,6 +13,8 @@ set(TARGET common)
 add_library(${TARGET} OBJECT
     common.h
     common.cpp
+    console.h
+    console.cpp
     grammar-parser.h
     grammar-parser.cpp
     )
diff --git a/examples/common.cpp b/examples/common.cpp
index e6439841d..21f4a0357 100644
--- a/examples/common.cpp
+++ b/examples/common.cpp
@@ -25,7 +25,6 @@
 #else
 #include <sys/ioctl.h>
 #include <unistd.h>
-#include <wchar.h>
 #endif
 
 #if defined(_MSC_VER)
@@ -329,6 +328,8 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
             params.instruct = true;
         } else if (arg == "--multiline-input") {
             params.multiline_input = true;
+        } else if (arg == "--simple-io") {
+            params.simple_io = true;
         } else if (arg == "--color") {
             params.use_color = true;
         } else if (arg == "--mlock") {
@@ -572,7 +573,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     fprintf(stdout, "  --temp N              temperature (default: %.1f)\n", (double)params.temp);
     fprintf(stdout, "  --perplexity          compute perplexity over each ctx window of the prompt\n");
     fprintf(stdout, "  --hellaswag           compute HellaSwag score over random tasks from datafile supplied with -f\n");
-    fprintf(stdout, "  --hellaswag-tasks N   number of tasks to use when computing the HellaSwag score (default: %d)\n", params.hellaswag_tasks);
+    fprintf(stdout, "  --hellaswag-tasks N   number of tasks to use when computing the HellaSwag score (default: %zu)\n", params.hellaswag_tasks);
     fprintf(stdout, "  --keep N              number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep);
     fprintf(stdout, "  --chunks N            max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks);
     if (llama_mlock_supported()) {
@@ -598,6 +599,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     fprintf(stdout, "  --mtest               compute maximum memory usage\n");
     fprintf(stdout, "  --export              export the computation graph to 'llama.ggml'\n");
     fprintf(stdout, "  --verbose-prompt      print prompt before generation\n");
+    fprintf(stderr, "  --simple-io           use basic IO for better compatibility in subprocesses and limited consoles\n");
     fprintf(stdout, "  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
     fprintf(stdout, "  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
     fprintf(stdout, "  -m FNAME, --model FNAME\n");
@@ -690,376 +692,3 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
 
     return std::make_tuple(model, lctx);
 }
-
-void console_init(console_state & con_st) {
-#if defined(_WIN32)
-    // Windows-specific console initialization
-    DWORD dwMode = 0;
-    con_st.hConsole = GetStdHandle(STD_OUTPUT_HANDLE);
-    if (con_st.hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(con_st.hConsole, &dwMode)) {
-        con_st.hConsole = GetStdHandle(STD_ERROR_HANDLE);
-        if (con_st.hConsole != INVALID_HANDLE_VALUE && (!GetConsoleMode(con_st.hConsole, &dwMode))) {
-            con_st.hConsole = NULL;
-        }
-    }
-    if (con_st.hConsole) {
-        // Enable ANSI colors on Windows 10+
-        if (con_st.use_color && !(dwMode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)) {
-            SetConsoleMode(con_st.hConsole, dwMode | ENABLE_VIRTUAL_TERMINAL_PROCESSING);
-        }
-        // Set console output codepage to UTF8
-        SetConsoleOutputCP(CP_UTF8);
-    }
-    HANDLE hConIn = GetStdHandle(STD_INPUT_HANDLE);
-    if (hConIn != INVALID_HANDLE_VALUE && GetConsoleMode(hConIn, &dwMode)) {
-        // Set console input codepage to UTF16
-        _setmode(_fileno(stdin), _O_WTEXT);
-
-        // Turn off ICANON (ENABLE_LINE_INPUT) and ECHO (ENABLE_ECHO_INPUT)
-        dwMode &= ~(ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT);
-        SetConsoleMode(hConIn, dwMode);
-    }
-#else
-    // POSIX-specific console initialization
-    struct termios new_termios;
-    tcgetattr(STDIN_FILENO, &con_st.prev_state);
-    new_termios = con_st.prev_state;
-    new_termios.c_lflag &= ~(ICANON | ECHO);
-    new_termios.c_cc[VMIN] = 1;
-    new_termios.c_cc[VTIME] = 0;
-    tcsetattr(STDIN_FILENO, TCSANOW, &new_termios);
-
-    con_st.tty = fopen("/dev/tty", "w+");
-    if (con_st.tty != nullptr) {
-        con_st.out = con_st.tty;
-    }
-
-    setlocale(LC_ALL, "");
-#endif
-}
-
-void console_cleanup(console_state & con_st) {
-    // Reset console color
-    console_set_color(con_st, CONSOLE_COLOR_DEFAULT);
-
-#if !defined(_WIN32)
-    if (con_st.tty != nullptr) {
-        con_st.out = stdout;
-        fclose(con_st.tty);
-        con_st.tty = nullptr;
-    }
-    // Restore the terminal settings on POSIX systems
-    tcsetattr(STDIN_FILENO, TCSANOW, &con_st.prev_state);
-#endif
-}
-
-/* Keep track of current color of output, and emit ANSI code if it changes. */
-void console_set_color(console_state & con_st, console_color_t color) {
-    if (con_st.use_color && con_st.color != color) {
-        fflush(stdout);
-        switch(color) {
-            case CONSOLE_COLOR_DEFAULT:
-                fprintf(con_st.out, ANSI_COLOR_RESET);
-                break;
-            case CONSOLE_COLOR_PROMPT:
-                fprintf(con_st.out, ANSI_COLOR_YELLOW);
-                break;
-            case CONSOLE_COLOR_USER_INPUT:
-                fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_GREEN);
-                break;
-            case CONSOLE_COLOR_ERROR:
-                fprintf(con_st.out, ANSI_BOLD ANSI_COLOR_RED);
-                break;
-        }
-        con_st.color = color;
-        fflush(con_st.out);
-    }
-}
-
-char32_t getchar32() {
-#if defined(_WIN32)
-    HANDLE hConsole = GetStdHandle(STD_INPUT_HANDLE);
-    wchar_t high_surrogate = 0;
-
-    while (true) {
-        INPUT_RECORD record;
-        DWORD count;
-        if (!ReadConsoleInputW(hConsole, &record, 1, &count) || count == 0) {
-            return WEOF;
-        }
-
-        if (record.EventType == KEY_EVENT && record.Event.KeyEvent.bKeyDown) {
-            wchar_t wc = record.Event.KeyEvent.uChar.UnicodeChar;
-            if (wc == 0) {
-                continue;
-            }
-
-            if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate
-                high_surrogate = wc;
-                continue;
-            } else if ((wc >= 0xDC00) && (wc <= 0xDFFF)) { // Check if wc is a low surrogate
-                if (high_surrogate != 0) { // Check if we have a high surrogate
-                    return ((high_surrogate - 0xD800) << 10) + (wc - 0xDC00) + 0x10000;
-                }
-            }
-
-            high_surrogate = 0; // Reset the high surrogate
-            return static_cast<char32_t>(wc);
-        }
-    }
-#else
-    wchar_t wc = getwchar();
-    if (static_cast<wint_t>(wc) == WEOF) {
-        return WEOF;
-    }
-
-#if WCHAR_MAX == 0xFFFF
-    if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate
-        wchar_t low_surrogate = getwchar();
-        if ((low_surrogate >= 0xDC00) && (low_surrogate <= 0xDFFF)) { // Check if the next wchar is a low surrogate
-            return (static_cast<char32_t>(wc & 0x03FF) << 10) + (low_surrogate & 0x03FF) + 0x10000;
-        }
-    }
-    if ((wc >= 0xD800) && (wc <= 0xDFFF)) { // Invalid surrogate pair
-        return 0xFFFD; // Return the replacement character U+FFFD
-    }
-#endif
-
-    return static_cast<char32_t>(wc);
-#endif
-}
-
-void pop_cursor(console_state & con_st) {
-#if defined(_WIN32)
-    if (con_st.hConsole != NULL) {
-        CONSOLE_SCREEN_BUFFER_INFO bufferInfo;
-        GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo);
-
-        COORD newCursorPosition = bufferInfo.dwCursorPosition;
-        if (newCursorPosition.X == 0) {
-            newCursorPosition.X = bufferInfo.dwSize.X - 1;
-            newCursorPosition.Y -= 1;
-        } else {
-            newCursorPosition.X -= 1;
-        }
-
-        SetConsoleCursorPosition(con_st.hConsole, newCursorPosition);
-        return;
-    }
-#endif
-    putc('\b', con_st.out);
-}
-
-int estimateWidth(char32_t codepoint) {
-#if defined(_WIN32)
-    return 1;
-#else
-    return wcwidth(codepoint);
-#endif
-}
-
-int put_codepoint(console_state & con_st, const char* utf8_codepoint, size_t length, int expectedWidth) {
-#if defined(_WIN32)
-    CONSOLE_SCREEN_BUFFER_INFO bufferInfo;
-    if (!GetConsoleScreenBufferInfo(con_st.hConsole, &bufferInfo)) {
-        // go with the default
-        return expectedWidth;
-    }
-    COORD initialPosition = bufferInfo.dwCursorPosition;
-    DWORD nNumberOfChars = length;
-    WriteConsole(con_st.hConsole, utf8_codepoint, nNumberOfChars, &nNumberOfChars, NULL);
-
-    CONSOLE_SCREEN_BUFFER_INFO newBufferInfo;
-    GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo);
-
-    // Figure out our real position if we're in the last column
-    if (utf8_codepoint[0] != 0x09 && initialPosition.X == newBufferInfo.dwSize.X - 1) {
-        DWORD nNumberOfChars;
-        WriteConsole(con_st.hConsole, &" \b", 2, &nNumberOfChars, NULL);
-        GetConsoleScreenBufferInfo(con_st.hConsole, &newBufferInfo);
-    }
-
-    int width = newBufferInfo.dwCursorPosition.X - initialPosition.X;
-    if (width < 0) {
-        width += newBufferInfo.dwSize.X;
-    }
-    return width;
-#else
-    // we can trust expectedWidth if we've got one
-    if (expectedWidth >= 0 || con_st.tty == nullptr) {
-        fwrite(utf8_codepoint, length, 1, con_st.out);
-        return expectedWidth;
-    }
-
-    fputs("\033[6n", con_st.tty); // Query cursor position
-    int x1, x2, y1, y2;
-    int results = 0;
-    results = fscanf(con_st.tty, "\033[%d;%dR", &y1, &x1);
-
-    fwrite(utf8_codepoint, length, 1, con_st.tty);
-
-    fputs("\033[6n", con_st.tty); // Query cursor position
-    results += fscanf(con_st.tty, "\033[%d;%dR", &y2, &x2);
-
-    if (results != 4) {
-        return expectedWidth;
-    }
-
-    int width = x2 - x1;
-    if (width < 0) {
-        // Calculate the width considering text wrapping
-        struct winsize w;
-        ioctl(STDOUT_FILENO, TIOCGWINSZ, &w);
-        width += w.ws_col;
-    }
-    return width;
-#endif
-}
-
-void replace_last(console_state & con_st, char ch) {
-#if defined(_WIN32)
-    pop_cursor(con_st);
-    put_codepoint(con_st, &ch, 1, 1);
-#else
-    fprintf(con_st.out, "\b%c", ch);
-#endif
-}
-
-void append_utf8(char32_t ch, std::string & out) {
-    if (ch <= 0x7F) {
-        out.push_back(static_cast<unsigned char>(ch));
-    } else if (ch <= 0x7FF) {
-        out.push_back(static_cast<unsigned char>(0xC0 | ((ch >> 6) & 0x1F)));
-        out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
-    } else if (ch <= 0xFFFF) {
-        out.push_back(static_cast<unsigned char>(0xE0 | ((ch >> 12) & 0x0F)));
-        out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 6) & 0x3F)));
-        out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
-    } else if (ch <= 0x10FFFF) {
-        out.push_back(static_cast<unsigned char>(0xF0 | ((ch >> 18) & 0x07)));
-        out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 12) & 0x3F)));
-        out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 6) & 0x3F)));
-        out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
-    } else {
-        // Invalid Unicode code point
-    }
-}
-
-// Helper function to remove the last UTF-8 character from a string
-void pop_back_utf8_char(std::string & line) {
-    if (line.empty()) {
-        return;
-    }
-
-    size_t pos = line.length() - 1;
-
-    // Find the start of the last UTF-8 character (checking up to 4 bytes back)
-    for (size_t i = 0; i < 3 && pos > 0; ++i, --pos) {
-        if ((line[pos] & 0xC0) != 0x80) break; // Found the start of the character
-    }
-    line.erase(pos);
-}
-
-bool console_readline(console_state & con_st, std::string & line) {
-    console_set_color(con_st, CONSOLE_COLOR_USER_INPUT);
-    if (con_st.out != stdout) {
-        fflush(stdout);
-    }
-
-    line.clear();
-    std::vector<int> widths;
-    bool is_special_char = false;
-    bool end_of_stream = false;
-
-    char32_t input_char;
-    while (true) {
-        fflush(con_st.out); // Ensure all output is displayed before waiting for input
-        input_char = getchar32();
-
-        if (input_char == '\r' || input_char == '\n') {
-            break;
-        }
-
-        if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) {
-            end_of_stream = true;
-            break;
-        }
-
-        if (is_special_char) {
-            console_set_color(con_st, CONSOLE_COLOR_USER_INPUT);
-            replace_last(con_st, line.back());
-            is_special_char = false;
-        }
-
-        if (input_char == '\033') { // Escape sequence
-            char32_t code = getchar32();
-            if (code == '[' || code == 0x1B) {
-                // Discard the rest of the escape sequence
-                while ((code = getchar32()) != (char32_t) WEOF) {
-                    if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') {
-                        break;
-                    }
-                }
-            }
-        } else if (input_char == 0x08 || input_char == 0x7F) { // Backspace
-            if (!widths.empty()) {
-                int count;
-                do {
-                    count = widths.back();
-                    widths.pop_back();
-                    // Move cursor back, print space, and move cursor back again
-                    for (int i = 0; i < count; i++) {
-                        replace_last(con_st, ' ');
-                        pop_cursor(con_st);
-                    }
-                    pop_back_utf8_char(line);
-                } while (count == 0 && !widths.empty());
-            }
-        } else {
-            int offset = line.length();
-            append_utf8(input_char, line);
-            int width = put_codepoint(con_st, line.c_str() + offset, line.length() - offset, estimateWidth(input_char));
-            if (width < 0) {
-                width = 0;
-            }
-            widths.push_back(width);
-        }
-
-        if (!line.empty() && (line.back() == '\\' || line.back() == '/')) {
-            console_set_color(con_st, CONSOLE_COLOR_PROMPT);
-            replace_last(con_st, line.back());
-            is_special_char = true;
-        }
-    }
-
-    bool has_more = con_st.multiline_input;
-    if (is_special_char) {
-        replace_last(con_st, ' ');
-        pop_cursor(con_st);
-
-        char last = line.back();
-        line.pop_back();
-        if (last == '\\') {
-            line += '\n';
-            fputc('\n', con_st.out);
-            has_more = !has_more;
-        } else {
-            // llama will just eat the single space, it won't act as a space
-            if (line.length() == 1 && line.back() == ' ') {
-                line.clear();
-                pop_cursor(con_st);
-            }
-            has_more = false;
-        }
-    } else {
-        if (end_of_stream) {
-            has_more = false;
-        } else {
-            line += '\n';
-            fputc('\n', con_st.out);
-        }
-    }
-
-    fflush(con_st.out);
-    return has_more;
-}
diff --git a/examples/common.h b/examples/common.h
index 974484207..375bc0a3d 100644
--- a/examples/common.h
+++ b/examples/common.h
@@ -11,11 +11,6 @@
 #include <unordered_map>
 #include <tuple>
 
-#if !defined (_WIN32)
-#include <stdio.h>
-#include <termios.h>
-#endif
-
 //
 // CLI argument parsing
 //
@@ -85,6 +80,7 @@ struct gpt_params {
     bool embedding         = false; // get only sentence embedding
     bool interactive_first = false; // wait for user input immediately
     bool multiline_input   = false; // reverse the usage of `\`
+    bool simple_io         = false; // improves compatibility with subprocesses and limited consoles
 
     bool input_prefix_bos  = false; // prefix BOS to user inputs, preceding input_prefix
     bool instruct          = false; // instruction mode (used for Alpaca models)
@@ -116,42 +112,3 @@ std::vector<llama_token> llama_tokenize(struct llama_context * ctx, const std::s
 
 std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_params(const gpt_params & params);
 struct llama_context_params llama_context_params_from_gpt_params(const gpt_params & params);
-
-//
-// Console utils
-//
-
-#define ANSI_COLOR_RED     "\x1b[31m"
-#define ANSI_COLOR_GREEN   "\x1b[32m"
-#define ANSI_COLOR_YELLOW  "\x1b[33m"
-#define ANSI_COLOR_BLUE    "\x1b[34m"
-#define ANSI_COLOR_MAGENTA "\x1b[35m"
-#define ANSI_COLOR_CYAN    "\x1b[36m"
-#define ANSI_COLOR_RESET   "\x1b[0m"
-#define ANSI_BOLD          "\x1b[1m"
-
-enum console_color_t {
-    CONSOLE_COLOR_DEFAULT=0,
-    CONSOLE_COLOR_PROMPT,
-    CONSOLE_COLOR_USER_INPUT,
-    CONSOLE_COLOR_ERROR
-};
-
-struct console_state {
-    bool multiline_input = false;
-    bool use_color = false;
-    console_color_t color = CONSOLE_COLOR_DEFAULT;
-
-    FILE* out = stdout;
-#if defined (_WIN32)
-    void* hConsole;
-#else
-    FILE* tty = nullptr;
-    termios prev_state;
-#endif
-};
-
-void console_init(console_state & con_st);
-void console_cleanup(console_state & con_st);
-void console_set_color(console_state & con_st, console_color_t color);
-bool console_readline(console_state & con_st, std::string & line);
diff --git a/examples/console.cpp b/examples/console.cpp
new file mode 100644
index 000000000..4c32f3b09
--- /dev/null
+++ b/examples/console.cpp
@@ -0,0 +1,494 @@
+#include "console.h"
+#include <vector>
+#include <iostream>
+
+#if defined(_WIN32)
+#define WIN32_LEAN_AND_MEAN
+#ifndef NOMINMAX
+#define NOMINMAX
+#endif
+#include <windows.h>
+#include <fcntl.h>
+#include <io.h>
+#else
+#include <climits>
+#include <sys/ioctl.h>
+#include <unistd.h>
+#include <wchar.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <signal.h>
+#include <termios.h>
+#endif
+
+#define ANSI_COLOR_RED     "\x1b[31m"
+#define ANSI_COLOR_GREEN   "\x1b[32m"
+#define ANSI_COLOR_YELLOW  "\x1b[33m"
+#define ANSI_COLOR_BLUE    "\x1b[34m"
+#define ANSI_COLOR_MAGENTA "\x1b[35m"
+#define ANSI_COLOR_CYAN    "\x1b[36m"
+#define ANSI_COLOR_RESET   "\x1b[0m"
+#define ANSI_BOLD          "\x1b[1m"
+
+namespace console {
+
+    //
+    // Console state
+    //
+
+    static bool      advanced_display = false;
+    static bool      simple_io        = true;
+    static display_t current_display  = reset;
+
+    static FILE*     out              = stdout;
+
+#if defined (_WIN32)
+    static void*     hConsole;
+#else
+    static FILE*     tty              = nullptr;
+    static termios   initial_state;
+#endif
+
+    //
+    // Init and cleanup
+    //
+
+    void init(bool use_simple_io, bool use_advanced_display) {
+        advanced_display = use_advanced_display;
+        simple_io = use_simple_io;
+#if defined(_WIN32)
+        // Windows-specific console initialization
+        DWORD dwMode = 0;
+        hConsole = GetStdHandle(STD_OUTPUT_HANDLE);
+        if (hConsole == INVALID_HANDLE_VALUE || !GetConsoleMode(hConsole, &dwMode)) {
+            hConsole = GetStdHandle(STD_ERROR_HANDLE);
+            if (hConsole != INVALID_HANDLE_VALUE && (!GetConsoleMode(hConsole, &dwMode))) {
+                hConsole = nullptr;
+                simple_io = true;
+            }
+        }
+        if (hConsole) {
+            // Enable ANSI colors on Windows 10+
+            if (advanced_display && !(dwMode & ENABLE_VIRTUAL_TERMINAL_PROCESSING)) {
+                SetConsoleMode(hConsole, dwMode | ENABLE_VIRTUAL_TERMINAL_PROCESSING);
+            }
+            // Set console output codepage to UTF8
+            SetConsoleOutputCP(CP_UTF8);
+        }
+        HANDLE hConIn = GetStdHandle(STD_INPUT_HANDLE);
+        if (hConIn != INVALID_HANDLE_VALUE && GetConsoleMode(hConIn, &dwMode)) {
+            // Set console input codepage to UTF16
+            _setmode(_fileno(stdin), _O_WTEXT);
+
+            if (!simple_io) {
+                // Turn off ICANON (ENABLE_LINE_INPUT) and ECHO (ENABLE_ECHO_INPUT)
+                dwMode &= ~(ENABLE_LINE_INPUT | ENABLE_ECHO_INPUT);
+            }
+            if (!SetConsoleMode(hConIn, dwMode)) {
+                simple_io = true;
+            }
+        }
+#else
+        // POSIX-specific console initialization
+        if (!simple_io) {
+            struct termios new_termios;
+            tcgetattr(STDIN_FILENO, &initial_state);
+            new_termios = initial_state;
+            new_termios.c_lflag &= ~(ICANON | ECHO);
+            new_termios.c_cc[VMIN] = 1;
+            new_termios.c_cc[VTIME] = 0;
+            tcsetattr(STDIN_FILENO, TCSANOW, &new_termios);
+
+            tty = fopen("/dev/tty", "w+");
+            if (tty != nullptr) {
+                out = tty;
+            }
+        }
+
+        setlocale(LC_ALL, "");
+#endif
+    }
+
+    void cleanup() {
+        // Reset console display
+        set_display(reset);
+
+#if !defined(_WIN32)
+        // Restore settings on POSIX systems
+        if (!simple_io) {
+            if (tty != nullptr) {
+                out = stdout;
+                fclose(tty);
+                tty = nullptr;
+            }
+            tcsetattr(STDIN_FILENO, TCSANOW, &initial_state);
+        }
+#endif
+    }
+
+    //
+    // Display and IO
+    //
+
+    // Keep track of current display and only emit ANSI code if it changes
+    void set_display(display_t display) {
+        if (advanced_display && current_display != display) {
+            fflush(stdout);
+            switch(display) {
+                case reset:
+                    fprintf(out, ANSI_COLOR_RESET);
+                    break;
+                case prompt:
+                    fprintf(out, ANSI_COLOR_YELLOW);
+                    break;
+                case user_input:
+                    fprintf(out, ANSI_BOLD ANSI_COLOR_GREEN);
+                    break;
+                case error:
+                    fprintf(out, ANSI_BOLD ANSI_COLOR_RED);
+            }
+            current_display = display;
+            fflush(out);
+        }
+    }
+
+    char32_t getchar32() {
+#if defined(_WIN32)
+        HANDLE hConsole = GetStdHandle(STD_INPUT_HANDLE);
+        wchar_t high_surrogate = 0;
+
+        while (true) {
+            INPUT_RECORD record;
+            DWORD count;
+            if (!ReadConsoleInputW(hConsole, &record, 1, &count) || count == 0) {
+                return WEOF;
+            }
+
+            if (record.EventType == KEY_EVENT && record.Event.KeyEvent.bKeyDown) {
+                wchar_t wc = record.Event.KeyEvent.uChar.UnicodeChar;
+                if (wc == 0) {
+                    continue;
+                }
+
+                if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate
+                    high_surrogate = wc;
+                    continue;
+                }
+                if ((wc >= 0xDC00) && (wc <= 0xDFFF)) { // Check if wc is a low surrogate
+                    if (high_surrogate != 0) { // Check if we have a high surrogate
+                        return ((high_surrogate - 0xD800) << 10) + (wc - 0xDC00) + 0x10000;
+                    }
+                }
+
+                high_surrogate = 0; // Reset the high surrogate
+                return static_cast<char32_t>(wc);
+            }
+        }
+#else
+        wchar_t wc = getwchar();
+        if (static_cast<wint_t>(wc) == WEOF) {
+            return WEOF;
+        }
+
+#if WCHAR_MAX == 0xFFFF
+        if ((wc >= 0xD800) && (wc <= 0xDBFF)) { // Check if wc is a high surrogate
+            wchar_t low_surrogate = getwchar();
+            if ((low_surrogate >= 0xDC00) && (low_surrogate <= 0xDFFF)) { // Check if the next wchar is a low surrogate
+                return (static_cast<char32_t>(wc & 0x03FF) << 10) + (low_surrogate & 0x03FF) + 0x10000;
+            }
+        }
+        if ((wc >= 0xD800) && (wc <= 0xDFFF)) { // Invalid surrogate pair
+            return 0xFFFD; // Return the replacement character U+FFFD
+        }
+#endif
+
+        return static_cast<char32_t>(wc);
+#endif
+    }
+
+    void pop_cursor() {
+#if defined(_WIN32)
+        if (hConsole != NULL) {
+            CONSOLE_SCREEN_BUFFER_INFO bufferInfo;
+            GetConsoleScreenBufferInfo(hConsole, &bufferInfo);
+
+            COORD newCursorPosition = bufferInfo.dwCursorPosition;
+            if (newCursorPosition.X == 0) {
+                newCursorPosition.X = bufferInfo.dwSize.X - 1;
+                newCursorPosition.Y -= 1;
+            } else {
+                newCursorPosition.X -= 1;
+            }
+
+            SetConsoleCursorPosition(hConsole, newCursorPosition);
+            return;
+        }
+#endif
+        putc('\b', out);
+    }
+
+    int estimateWidth(char32_t codepoint) {
+#if defined(_WIN32)
+        return 1;
+#else
+        return wcwidth(codepoint);
+#endif
+    }
+
+    int put_codepoint(const char* utf8_codepoint, size_t length, int expectedWidth) {
+#if defined(_WIN32)
+        CONSOLE_SCREEN_BUFFER_INFO bufferInfo;
+        if (!GetConsoleScreenBufferInfo(hConsole, &bufferInfo)) {
+            // go with the default
+            return expectedWidth;
+        }
+        COORD initialPosition = bufferInfo.dwCursorPosition;
+        DWORD nNumberOfChars = length;
+        WriteConsole(hConsole, utf8_codepoint, nNumberOfChars, &nNumberOfChars, NULL);
+
+        CONSOLE_SCREEN_BUFFER_INFO newBufferInfo;
+        GetConsoleScreenBufferInfo(hConsole, &newBufferInfo);
+
+        // Figure out our real position if we're in the last column
+        if (utf8_codepoint[0] != 0x09 && initialPosition.X == newBufferInfo.dwSize.X - 1) {
+            DWORD nNumberOfChars;
+            WriteConsole(hConsole, &" \b", 2, &nNumberOfChars, NULL);
+            GetConsoleScreenBufferInfo(hConsole, &newBufferInfo);
+        }
+
+        int width = newBufferInfo.dwCursorPosition.X - initialPosition.X;
+        if (width < 0) {
+            width += newBufferInfo.dwSize.X;
+        }
+        return width;
+#else
+        // We can trust expectedWidth if we've got one
+        if (expectedWidth >= 0 || tty == nullptr) {
+            fwrite(utf8_codepoint, length, 1, out);
+            return expectedWidth;
+        }
+
+        fputs("\033[6n", tty); // Query cursor position
+        int x1;
+        int y1;
+        int x2;
+        int y2;
+        int results = 0;
+        results = fscanf(tty, "\033[%d;%dR", &y1, &x1);
+
+        fwrite(utf8_codepoint, length, 1, tty);
+
+        fputs("\033[6n", tty); // Query cursor position
+        results += fscanf(tty, "\033[%d;%dR", &y2, &x2);
+
+        if (results != 4) {
+            return expectedWidth;
+        }
+
+        int width = x2 - x1;
+        if (width < 0) {
+            // Calculate the width considering text wrapping
+            struct winsize w;
+            ioctl(STDOUT_FILENO, TIOCGWINSZ, &w);
+            width += w.ws_col;
+        }
+        return width;
+#endif
+    }
+
+    void replace_last(char ch) {
+#if defined(_WIN32)
+        pop_cursor();
+        put_codepoint(&ch, 1, 1);
+#else
+        fprintf(out, "\b%c", ch);
+#endif
+    }
+
+    void append_utf8(char32_t ch, std::string & out) {
+        if (ch <= 0x7F) {
+            out.push_back(static_cast<unsigned char>(ch));
+        } else if (ch <= 0x7FF) {
+            out.push_back(static_cast<unsigned char>(0xC0 | ((ch >> 6) & 0x1F)));
+            out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
+        } else if (ch <= 0xFFFF) {
+            out.push_back(static_cast<unsigned char>(0xE0 | ((ch >> 12) & 0x0F)));
+            out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 6) & 0x3F)));
+            out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
+        } else if (ch <= 0x10FFFF) {
+            out.push_back(static_cast<unsigned char>(0xF0 | ((ch >> 18) & 0x07)));
+            out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 12) & 0x3F)));
+            out.push_back(static_cast<unsigned char>(0x80 | ((ch >> 6) & 0x3F)));
+            out.push_back(static_cast<unsigned char>(0x80 | (ch & 0x3F)));
+        } else {
+            // Invalid Unicode code point
+        }
+    }
+
+    // Helper function to remove the last UTF-8 character from a string
+    void pop_back_utf8_char(std::string & line) {
+        if (line.empty()) {
+            return;
+        }
+
+        size_t pos = line.length() - 1;
+
+        // Find the start of the last UTF-8 character (checking up to 4 bytes back)
+        for (size_t i = 0; i < 3 && pos > 0; ++i, --pos) {
+            if ((line[pos] & 0xC0) != 0x80) {
+                break; // Found the start of the character
+            }
+        }
+        line.erase(pos);
+    }
+
+    bool readline_advanced(std::string & line, bool multiline_input) {
+        if (out != stdout) {
+            fflush(stdout);
+        }
+
+        line.clear();
+        std::vector<int> widths;
+        bool is_special_char = false;
+        bool end_of_stream = false;
+
+        char32_t input_char;
+        while (true) {
+            fflush(out); // Ensure all output is displayed before waiting for input
+            input_char = getchar32();
+
+            if (input_char == '\r' || input_char == '\n') {
+                break;
+            }
+
+            if (input_char == (char32_t) WEOF || input_char == 0x04 /* Ctrl+D*/) {
+                end_of_stream = true;
+                break;
+            }
+
+            if (is_special_char) {
+                set_display(user_input);
+                replace_last(line.back());
+                is_special_char = false;
+            }
+
+            if (input_char == '\033') { // Escape sequence
+                char32_t code = getchar32();
+                if (code == '[' || code == 0x1B) {
+                    // Discard the rest of the escape sequence
+                    while ((code = getchar32()) != (char32_t) WEOF) {
+                        if ((code >= 'A' && code <= 'Z') || (code >= 'a' && code <= 'z') || code == '~') {
+                            break;
+                        }
+                    }
+                }
+            } else if (input_char == 0x08 || input_char == 0x7F) { // Backspace
+                if (!widths.empty()) {
+                    int count;
+                    do {
+                        count = widths.back();
+                        widths.pop_back();
+                        // Move cursor back, print space, and move cursor back again
+                        for (int i = 0; i < count; i++) {
+                            replace_last(' ');
+                            pop_cursor();
+                        }
+                        pop_back_utf8_char(line);
+                    } while (count == 0 && !widths.empty());
+                }
+            } else {
+                int offset = line.length();
+                append_utf8(input_char, line);
+                int width = put_codepoint(line.c_str() + offset, line.length() - offset, estimateWidth(input_char));
+                if (width < 0) {
+                    width = 0;
+                }
+                widths.push_back(width);
+            }
+
+            if (!line.empty() && (line.back() == '\\' || line.back() == '/')) {
+                set_display(prompt);
+                replace_last(line.back());
+                is_special_char = true;
+            }
+        }
+
+        bool has_more = multiline_input;
+        if (is_special_char) {
+            replace_last(' ');
+            pop_cursor();
+
+            char last = line.back();
+            line.pop_back();
+            if (last == '\\') {
+                line += '\n';
+                fputc('\n', out);
+                has_more = !has_more;
+            } else {
+                // llama will just eat the single space, it won't act as a space
+                if (line.length() == 1 && line.back() == ' ') {
+                    line.clear();
+                    pop_cursor();
+                }
+                has_more = false;
+            }
+        } else {
+            if (end_of_stream) {
+                has_more = false;
+            } else {
+                line += '\n';
+                fputc('\n', out);
+            }
+        }
+
+        fflush(out);
+        return has_more;
+    }
+
+    bool readline_simple(std::string & line, bool multiline_input) {
+#if defined(_WIN32)
+        std::wstring wline;
+        if (!std::getline(std::wcin, wline)) {
+            // Input stream is bad or EOF received
+            line.clear();
+            GenerateConsoleCtrlEvent(CTRL_C_EVENT, 0);
+            return false;
+        }
+
+        int size_needed = WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), NULL, 0, NULL, NULL);
+        line.resize(size_needed);
+        WideCharToMultiByte(CP_UTF8, 0, &wline[0], (int)wline.size(), &line[0], size_needed, NULL, NULL);
+#else
+        if (!std::getline(std::cin, line)) {
+            // Input stream is bad or EOF received
+            line.clear();
+            return false;
+        }
+#endif
+        if (!line.empty()) {
+            char last = line.back();
+            if (last == '/') { // Always return control on '/' symbol
+                line.pop_back();
+                return false;
+            }
+            if (last == '\\') { // '\\' changes the default action
+                line.pop_back();
+                multiline_input = !multiline_input;
+            }
+        }
+        line += '\n';
+
+        // By default, continue input if multiline_input is set
+        return multiline_input;
+    }
+
+    bool readline(std::string & line, bool multiline_input) {
+        set_display(user_input);
+
+        if (simple_io) {
+            return readline_simple(line, multiline_input);
+        }
+        return readline_advanced(line, multiline_input);
+    }
+
+}
diff --git a/examples/console.h b/examples/console.h
new file mode 100644
index 000000000..ec175269b
--- /dev/null
+++ b/examples/console.h
@@ -0,0 +1,19 @@
+// Console functions
+
+#pragma once
+
+#include <string>
+
+namespace console {
+    enum display_t {
+        reset = 0,
+        prompt,
+        user_input,
+        error
+    };
+
+    void init(bool use_simple_io, bool use_advanced_display);
+    void cleanup();
+    void set_display(display_t display);
+    bool readline(std::string & line, bool multiline_input);
+}
diff --git a/examples/embd-input/embd-input-lib.cpp b/examples/embd-input/embd-input-lib.cpp
index 26563821a..2185b9b0e 100644
--- a/examples/embd-input/embd-input-lib.cpp
+++ b/examples/embd-input/embd-input-lib.cpp
@@ -30,7 +30,7 @@ struct MyModel* create_mymodel(int argc, char ** argv) {
     fprintf(stderr, "%s: build = %d (%s)\n", __func__, BUILD_NUMBER, BUILD_COMMIT);
 
     if (params.seed == LLAMA_DEFAULT_SEED) {
-        params.seed = time(NULL);
+        params.seed = uint32_t(time(NULL));
     }
     fprintf(stderr, "%s: seed  = %d\n", __func__, params.seed);
 
diff --git a/examples/grammar-parser.cpp b/examples/grammar-parser.cpp
index 019d5e1bf..e76bd11c3 100644
--- a/examples/grammar-parser.cpp
+++ b/examples/grammar-parser.cpp
@@ -405,7 +405,7 @@ namespace grammar_parser {
             for (size_t i = 0, end = state.rules.size(); i < end; i++) {
                 // fprintf(file, "%zu: ", i);
                 // print_rule_binary(file, state.rules[i]);
-                print_rule(file, i, state.rules[i], symbol_id_names);
+                print_rule(file, uint32_t(i), state.rules[i], symbol_id_names);
                 // fprintf(file, "\n");
             }
         } catch (const std::exception & err) {
diff --git a/examples/json-schema-to-grammar.py b/examples/json-schema-to-grammar.py
new file mode 100644
index 000000000..2dccc118a
--- /dev/null
+++ b/examples/json-schema-to-grammar.py
@@ -0,0 +1,132 @@
+import argparse
+import json
+import re
+import sys
+
+# whitespace is constrained to a single space char to prevent model "running away" in
+# whitespace. Also maybe improves generation quality?
+SPACE_RULE = '" "?'
+
+PRIMITIVE_RULES = {
+    'boolean': '("true" | "false") space',
+    'number': '("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? space',
+    'integer': '("-"? ([0-9] | [1-9] [0-9]*)) space',
+    'string': r''' "\"" (
+        [^"\\] |
+        "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+      )* "\"" space ''',
+    'null': '"null" space',
+}
+
+INVALID_RULE_CHARS_RE = re.compile(r'[^a-zA-Z0-9-]+')
+GRAMMAR_LITERAL_ESCAPE_RE = re.compile(r'[\r\n"]')
+GRAMMAR_LITERAL_ESCAPES = {'\r': '\\r', '\n': '\\n', '"': '\\"'}
+
+
+class SchemaConverter:
+    def __init__(self, prop_order):
+        self._prop_order = prop_order
+        self._rules = {'space': SPACE_RULE}
+
+    def _format_literal(self, literal):
+        escaped = GRAMMAR_LITERAL_ESCAPE_RE.sub(
+            lambda m: GRAMMAR_LITERAL_ESCAPES.get(m.group(0)), json.dumps(literal)
+        )
+        return f'"{escaped}"'
+
+    def _add_rule(self, name, rule):
+        esc_name = INVALID_RULE_CHARS_RE.sub('-', name)
+        if esc_name not in self._rules or self._rules[esc_name] == rule:
+            key = esc_name
+        else:
+            i = 0
+            while f'{esc_name}{i}' in self._rules:
+                i += 1
+            key = f'{esc_name}{i}'
+        self._rules[key] = rule
+        return key
+
+    def visit(self, schema, name):
+        schema_type = schema.get('type')
+        rule_name = name or 'root'
+
+        if 'oneOf' in schema or 'anyOf' in schema:
+            rule = ' | '.join((
+                self.visit(alt_schema, f'{name}{"-" if name else ""}{i}')
+                for i, alt_schema in enumerate(schema.get('oneOf') or schema['anyOf'])
+            ))
+            return self._add_rule(rule_name, rule)
+
+        elif 'const' in schema:
+            return self._add_rule(rule_name, self._format_literal(schema['const']))
+
+        elif 'enum' in schema:
+            rule = ' | '.join((self._format_literal(v) for v in schema['enum']))
+            return self._add_rule(rule_name, rule)
+
+        elif schema_type == 'object' and 'properties' in schema:
+            # TODO: `required` keyword
+            prop_order = self._prop_order
+            prop_pairs = sorted(
+                schema['properties'].items(),
+                # sort by position in prop_order (if specified) then by key
+                key=lambda kv: (prop_order.get(kv[0], len(prop_order)), kv[0]),
+            )
+
+            rule = '"{" space'
+            for i, (prop_name, prop_schema) in enumerate(prop_pairs):
+                prop_rule_name = self.visit(prop_schema, f'{name}{"-" if name else ""}{prop_name}')
+                if i > 0:
+                    rule += ' "," space'
+                rule += fr' {self._format_literal(prop_name)} space ":" space {prop_rule_name}'
+            rule += ' "}" space'
+
+            return self._add_rule(rule_name, rule)
+
+        elif schema_type == 'array' and 'items' in schema:
+            # TODO `prefixItems` keyword
+            item_rule_name = self.visit(schema['items'], f'{name}{"-" if name else ""}item')
+            rule = f'"[" space ({item_rule_name} ("," space {item_rule_name})*)? "]" space'
+            return self._add_rule(rule_name, rule)
+
+        else:
+            assert schema_type in PRIMITIVE_RULES, f'Unrecognized schema: {schema}'
+            return self._add_rule(
+                'root' if rule_name == 'root' else schema_type,
+                PRIMITIVE_RULES[schema_type]
+            )
+
+    def format_grammar(self):
+        return '\n'.join((f'{name} ::= {rule}' for name, rule in self._rules.items()))
+
+
+def main(args_in = None):
+    parser = argparse.ArgumentParser(
+        description='''
+            Generates a grammar (suitable for use in ./main) that produces JSON conforming to a
+            given JSON schema. Only a subset of JSON schema features are supported; more may be
+            added in the future.
+        ''',
+    )
+    parser.add_argument(
+        '--prop-order',
+        default=[],
+        type=lambda s: s.split(','),
+        help='''
+            comma-separated property names defining the order of precedence for object properties;
+            properties not specified here are given lower precedence than those that are, and are
+            sorted alphabetically
+        '''
+    )
+    parser.add_argument('schema', help='file containing JSON schema ("-" for stdin)')
+    args = parser.parse_args(args_in)
+
+    schema = json.load(sys.stdin if args.schema == '-' else open(args.schema))
+    prop_order = {name: idx for idx, name in enumerate(args.prop_order)}
+    converter = SchemaConverter(prop_order)
+    converter.visit(schema, '')
+    print(converter.format_grammar())
+
+
+if __name__ == '__main__':
+    main()
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index 3796a9230..56ada7e69 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -4,6 +4,7 @@
 #endif
 
 #include "common.h"
+#include "console.h"
 #include "llama.h"
 #include "build-info.h"
 #include "grammar-parser.h"
@@ -35,9 +36,7 @@
 #pragma warning(disable: 4244 4267) // possible loss of data
 #endif
 
-static console_state con_st;
 static llama_context ** g_ctx;
-
 static bool is_interacting = false;
 
 #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
@@ -46,7 +45,7 @@ void sigint_handler(int signo) {
         if (!is_interacting) {
             is_interacting=true;
         } else {
-            console_cleanup(con_st);
+            console::cleanup();
             printf("\n");
             llama_print_timings(*g_ctx);
             _exit(130);
@@ -64,10 +63,8 @@ int main(int argc, char ** argv) {
 
     // save choice to use color for later
     // (note for later: this is a slightly awkward choice)
-    con_st.use_color = params.use_color;
-    con_st.multiline_input = params.multiline_input;
-    console_init(con_st);
-    atexit([]() { console_cleanup(con_st); });
+    console::init(params.simple_io, params.use_color);
+    atexit([]() { console::cleanup(); });
 
     if (params.perplexity) {
         printf("\n************\n");
@@ -373,7 +370,7 @@ int main(int argc, char ** argv) {
 
     if (params.interactive) {
         const char *control_message;
-        if (con_st.multiline_input) {
+        if (params.multiline_input) {
             control_message = " - To return control to LLaMa, end your input with '\\'.\n"
                               " - To return control without starting a new line, end your input with '/'.\n";
         } else {
@@ -401,7 +398,7 @@ int main(int argc, char ** argv) {
     int n_past_guidance    = 0;
 
     // the first thing we will do is to output the prompt, so set color accordingly
-    console_set_color(con_st, CONSOLE_COLOR_PROMPT);
+    console::set_display(console::prompt);
 
     std::vector<llama_token> embd;
     std::vector<llama_token> embd_guidance;
@@ -422,9 +419,9 @@ int main(int argc, char ** argv) {
             // Ensure the input doesn't exceed the context size by truncating embd if necessary.
             if ((int)embd.size() > max_embd_size) {
                 auto skipped_tokens = embd.size() - max_embd_size;
-                console_set_color(con_st, CONSOLE_COLOR_ERROR);
+                console::set_display(console::error);
                 printf("<<input too long: skipped %zu token%s>>", skipped_tokens, skipped_tokens != 1 ? "s" : "");
-                console_set_color(con_st, CONSOLE_COLOR_DEFAULT);
+                console::set_display(console::reset);
                 fflush(stdout);
                 embd.resize(max_embd_size);
             }
@@ -667,7 +664,7 @@ int main(int argc, char ** argv) {
         }
         // reset color to default if we there is no pending user input
         if (input_echo && (int)embd_inp.size() == n_consumed) {
-            console_set_color(con_st, CONSOLE_COLOR_DEFAULT);
+            console::set_display(console::reset);
         }
 
         // if not currently processing queued inputs;
@@ -693,7 +690,7 @@ int main(int argc, char ** argv) {
                     if (last_output.find(antiprompt.c_str(), search_start_pos) != std::string::npos) {
                         if (params.interactive) {
                             is_interacting = true;
-                            console_set_color(con_st, CONSOLE_COLOR_USER_INPUT);
+                            console::set_display(console::user_input);
                         }
                         is_antiprompt = true;
                         fflush(stdout);
@@ -714,7 +711,7 @@ int main(int argc, char ** argv) {
 
                     is_interacting = true;
                     printf("\n");
-                    console_set_color(con_st, CONSOLE_COLOR_USER_INPUT);
+                    console::set_display(console::user_input);
                     fflush(stdout);
                 } else if (params.instruct) {
                     is_interacting = true;
@@ -739,12 +736,12 @@ int main(int argc, char ** argv) {
                 std::string line;
                 bool another_line = true;
                 do {
-                    another_line = console_readline(con_st, line);
+                    another_line = console::readline(line, params.multiline_input);
                     buffer += line;
                 } while (another_line);
 
                 // done taking input, reset color
-                console_set_color(con_st, CONSOLE_COLOR_DEFAULT);
+                console::set_display(console::reset);
 
                 // Add tokens to embd only if the input buffer is non-empty
                 // Entering a empty line lets the user pass control back
diff --git a/examples/perplexity/perplexity.cpp b/examples/perplexity/perplexity.cpp
index 6870a11b9..62433e983 100644
--- a/examples/perplexity/perplexity.cpp
+++ b/examples/perplexity/perplexity.cpp
@@ -153,7 +153,7 @@ void hellaswag_score(llama_context * ctx, const gpt_params & params) {
     }
 
     size_t hs_task_count = prompt_lines.size()/6;
-    fprintf(stderr, "%s : loaded %lu tasks from prompt.\n", __func__, hs_task_count);
+    fprintf(stderr, "%s : loaded %zu tasks from prompt.\n", __func__, hs_task_count);
 
     // This is needed as usual for LLaMA models
     bool prepend_bos = true;
@@ -178,7 +178,7 @@ void hellaswag_score(llama_context * ctx, const gpt_params & params) {
         double ending_logprob[4];
     };
 
-    fprintf(stderr, "%s : selecting %lu %s tasks.\n", __func__, hs_task_count, (randomize_tasks?"randomized":"the first")  );
+    fprintf(stderr, "%s : selecting %zu %s tasks.\n", __func__, hs_task_count, (randomize_tasks?"randomized":"the first")  );
 
     // Select and read data from prompt lines
     hs_data_t *hs_data = new hs_data_t[hs_task_count];
@@ -223,7 +223,7 @@ void hellaswag_score(llama_context * ctx, const gpt_params & params) {
 
             // Stop if query wont fit the ctx window
             if (query_size > (size_t)params.n_ctx) {
-                fprintf(stderr, "%s : number of tokens in query %lu > n_ctxl\n", __func__, query_size);
+                fprintf(stderr, "%s : number of tokens in query %zu > n_ctxl\n", __func__, query_size);
                 return;
             }
 
@@ -284,7 +284,7 @@ void hellaswag_score(llama_context * ctx, const gpt_params & params) {
         }
 
         // Print the accumulated accuracy mean x 100
-        printf("%li\t%.8lf\n",task_idx+1, acc/double(task_idx+1)*100.0);
+        printf("%zu\t%.8lf\n",task_idx+1, acc/double(task_idx+1)*100.0);
         fflush(stdout);
     }
 
diff --git a/examples/server/completion.js.hpp b/examples/server/completion.js.hpp
index f399fb19a..f0a071a69 100644
--- a/examples/server/completion.js.hpp
+++ b/examples/server/completion.js.hpp
@@ -87,289 +87,342 @@ unsigned char completion_js[] = {
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 };
-unsigned int completion_js_len = 4462;
+unsigned int completion_js_len = 5099;
diff --git a/examples/server/index.html.hpp b/examples/server/index.html.hpp
index 8a37a181f..14b445f8d 100644
--- a/examples/server/index.html.hpp
+++ b/examples/server/index.html.hpp
@@ -603,293 +603,214 @@ unsigned char index_html[] = {
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+  0x0a
 };
-unsigned int index_html_len = 20003;
+unsigned int index_html_len = 19993;
diff --git a/examples/server/index.js.hpp b/examples/server/index.js.hpp
index a3b5be6d8..c9dc078b7 100644
--- a/examples/server/index.js.hpp
+++ b/examples/server/index.js.hpp
@@ -4,1555 +4,1578 @@ unsigned char index_js[] = {
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+  0x48, 0x61, 0x6e, 0x64, 0x6c, 0x65, 0x2c, 0x4e, 0x74, 0x20, 0x61, 0x73,
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+  0x66, 0x65, 0x63, 0x74, 0x2c, 0x44, 0x74, 0x20, 0x61, 0x73, 0x20, 0x75,
+  0x73, 0x65, 0x4d, 0x65, 0x6d, 0x6f, 0x2c, 0x55, 0x74, 0x20, 0x61, 0x73,
+  0x20, 0x75, 0x73, 0x65, 0x52, 0x65, 0x64, 0x75, 0x63, 0x65, 0x72, 0x2c,
+  0x50, 0x74, 0x20, 0x61, 0x73, 0x20, 0x75, 0x73, 0x65, 0x52, 0x65, 0x66,
+  0x2c, 0x58, 0x74, 0x20, 0x61, 0x73, 0x20, 0x75, 0x73, 0x65, 0x53, 0x69,
+  0x67, 0x6e, 0x61, 0x6c, 0x2c, 0x5a, 0x74, 0x20, 0x61, 0x73, 0x20, 0x75,
+  0x73, 0x65, 0x53, 0x69, 0x67, 0x6e, 0x61, 0x6c, 0x45, 0x66, 0x66, 0x65,
+  0x63, 0x74, 0x2c, 0x45, 0x74, 0x20, 0x61, 0x73, 0x20, 0x75, 0x73, 0x65,
+  0x53, 0x74, 0x61, 0x74, 0x65, 0x7d, 0x3b, 0x0a
 };
-unsigned int index_js_len = 22174;
+unsigned int index_js_len = 22472;
diff --git a/examples/server/public/completion.js b/examples/server/public/completion.js
index a43d5a7d5..0c9bd5f10 100644
--- a/examples/server/public/completion.js
+++ b/examples/server/public/completion.js
@@ -43,6 +43,7 @@ export async function* llama(prompt, params = {}, config = {}) {
   const decoder = new TextDecoder();
 
   let content = "";
+  let leftover = ""; // Buffer for partially read lines
 
   try {
     let cont = true;
@@ -53,29 +54,47 @@ export async function* llama(prompt, params = {}, config = {}) {
         break;
       }
 
-      // sse answers in the form multiple lines of: value\n with data always present as a key. in our case we
-      // mainly care about the data: key here, which we expect as json
-      const text = decoder.decode(result.value);
+      // Add any leftover data to the current chunk of data
+      const text = leftover + decoder.decode(result.value);
 
-      // parse all sse events and add them to result
-      const regex = /^(\S+):\s(.*)$/gm;
-      for (const match of text.matchAll(regex)) {
-        result[match[1]] = match[2]
+      // Check if the last character is a line break
+      const endsWithLineBreak = text.endsWith('\n');
+
+      // Split the text into lines
+      let lines = text.split('\n');
+
+      // If the text doesn't end with a line break, then the last line is incomplete
+      // Store it in leftover to be added to the next chunk of data
+      if (!endsWithLineBreak) {
+        leftover = lines.pop();
+      } else {
+        leftover = ""; // Reset leftover if we have a line break at the end
       }
 
-      // since we know this is llama.cpp, let's just decode the json in data
-      result.data = JSON.parse(result.data);
-      content += result.data.content;
+      // Parse all sse events and add them to result
+      const regex = /^(\S+):\s(.*)$/gm;
+      for (const line of lines) {
+        const match = regex.exec(line);
+        if (match) {
+          result[match[1]] = match[2]
+          // since we know this is llama.cpp, let's just decode the json in data
+          if (result.data) {
+            result.data = JSON.parse(result.data);
+            content += result.data.content;
 
-      // yield
-      yield result;
+            // yield
+            yield result;
 
-      // if we got a stop token from server, we will break here
-      if (result.data.stop) {
-        if (result.data.generation_settings) {
-          generation_settings = result.data.generation_settings;
+            // if we got a stop token from server, we will break here
+            if (result.data.stop) {
+              if (result.data.generation_settings) {
+                generation_settings = result.data.generation_settings;
+              }
+              cont = false;
+              break;
+            }
+          }
         }
-        break;
       }
     }
   } catch (e) {
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index 3c59dfb01..d72d57648 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -308,8 +308,9 @@
 
       useEffect(() => {
         // scroll to bottom (if needed)
-        if (container.current && container.current.scrollHeight <= container.current.scrollTop + container.current.offsetHeight + 300) {
-          container.current.scrollTo(0, container.current.scrollHeight)
+        const parent = container.current.parentElement;
+        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
+          parent.scrollTo(0, parent.scrollHeight)
         }
       }, [messages])
 
diff --git a/examples/server/public/index.js b/examples/server/public/index.js
index 4fa725a90..9db5a9d9f 100644
--- a/examples/server/public/index.js
+++ b/examples/server/public/index.js
@@ -1 +1 @@
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t))return!0;return!1};function Xt(t){return Dt(()=>h(t),[])}function Yt(t){const n=Pt(t);n.current=t;Gt.__$f|=4;return Dt(()=>y(()=>n.current()),[])}function Zt(t){const n=Pt(t);n.current=t;Ht(()=>S(()=>n.current()),[])}var tn=function(t,n,e,i){var _;n[0]=0;for(var o=1;o<n.length;o++){var r=n[o++],u=n[o]?(n[0]|=r?1:2,e[n[o++]]):n[++o];3===r?i[0]=u:4===r?i[1]=Object.assign(i[1]||{},u):5===r?(i[1]=i[1]||{})[n[++o]]=u:6===r?i[1][n[++o]]+=u+"":r?(_=t.apply(u,tn(t,u,e,["",null])),i.push(_),u[0]?n[0]|=2:(n[o-2]=0,n[o]=_)):i.push(u)}return i},nn=new Map;function en(t){var n=nn.get(this);return n||(n=new Map,nn.set(this,n)),(n=tn(this,n.get(t)||(n.set(t,n=function(t){for(var n,e,i=1,_="",o="",r=[0],u=function(t){1===i&&(t||(_=_.replace(/^\s*\n\s*|\s*\n\s*$/g,"")))?r.push(0,t,_):3===i&&(t||_)?(r.push(3,t,_),i=2):2===i&&"..."===_&&t?r.push(4,t,0):2===i&&_&&!t?r.push(5,0,!0,_):i>=5&&((_||!t&&5===i)&&(r.push(i,0,_,e),i=6),t&&(r.push(i,t,0,e),i=6)),_=""},f=0;f<t.length;f++){f&&(1===i&&u(),u(f));for(var l=0;l<t[f].length;l++)n=t[f][l],1===i?"<"===n?(u(),r=[r],i=3):_+=n:4===i?"--"===_&&">"===n?(i=1,_=""):_=n+_[0]:o?n===o?o="":_+=n:'"'===n||"'"===n?o=n:">"===n?(u(),i=1):i&&("="===n?(i=5,e=_,_=""):"/"===n&&(i<5||">"===t[f][l+1])?(u(),3===i&&(r=r[0]),i=r,(r=r[0]).push(2,0,i),i=0):" "===n||"\t"===n||"\n"===n||"\r"===n?(u(),i=2):_+=n),3===i&&"!--"===_&&(i=4,r=r[0])}return u(),r}(t)),n),arguments,[])).length>1?n:n[0]}var _n=en.bind(W);export{I as Component,R as Fragment,c as Signal,e as batch,ct as cloneElement,y as computed,ht as createContext,W as createElement,L as createRef,S as effect,W as h,_n as html,st as hydrate,E as isValidElement,w as options,lt as render,h 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diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index c0725088f..6f7a66da1 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1274,7 +1274,11 @@ int main(int argc, char **argv)
                 sink.done();
                 return true;
             };
-            res.set_chunked_content_provider("text/event-stream", chunked_content_provider);
+            const auto on_complete = [&](bool) {
+                llama.mutex.unlock();
+            };
+            lock.release();
+            res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete);
         } });
 
     svr.Get("/model.json", [&llama](const Request &, Response &res)
diff --git a/examples/simple/simple.cpp b/examples/simple/simple.cpp
index aa2c4352d..97137a658 100644
--- a/examples/simple/simple.cpp
+++ b/examples/simple/simple.cpp
@@ -123,7 +123,7 @@ int main(int argc, char ** argv)
         // Evaluate the tokens :
         //---------------------------------
 
-        if ( llama_eval( ctx , tokens_list.data() , tokens_list.size() , llama_get_kv_cache_token_count( ctx ) , params.n_threads ) )
+        if ( llama_eval( ctx , tokens_list.data() , int(tokens_list.size()) , llama_get_kv_cache_token_count( ctx ) , params.n_threads ) )
         {
             fprintf( stderr,  "%s : failed to eval\n" , __func__ );
             return 1;
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index f11fbe57c..d64d7045c 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -162,7 +162,7 @@ typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_
 typedef void (*allocate_tiles_cuda_t)(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc);
 typedef void (*load_tiles_cuda_t)(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row);
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row);
 typedef float (*vec_dot_q_mul_mat_cuda_t)(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y_qs, const half2 * __restrict__ y_ms, const int & i, const int & j, const int & k);
@@ -1362,22 +1362,185 @@ static __global__ void dequantize_block(const void * __restrict__ vx, float * __
 }
 
 // VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
+// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
 
-#define VDR_q4_0_q8_1 1
+#define VDR_Q4_0_Q8_1_MMVQ 2
+#define VDR_Q4_0_Q8_1_MMQ  4
 
-static __device__ __forceinline__ float vec_dot_q4_0_q8_1_impl(
-    const int & vi, const int & ui0, const int & ui1, const half & d4, const half2 & ds8) {
+template <int vdr> static __device__ __forceinline__ float vec_dot_q4_0_q8_1_impl(
+    const int * v, const int * u, const float & d4, const half2 & ds8) {
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    // subtract 8 from each quantized value
-    const int vi0 = (vi >> 0) & 0x0F0F0F0F;
-    const int vi1 = (vi >> 4) & 0x0F0F0F0F;
+    int sumi = 0;
 
-    // SIMD dot product of quantized values
-    int sumi = __dp4a(vi0, ui0, 0);
-    sumi     = __dp4a(vi1, ui1, sumi);
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
+        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
 
-    return __half2float(d4) * (sumi * __half2float(ds8.x) - (8/QI4_0) * __half2float(ds8.y));
+        // SIMD dot product of quantized values
+        sumi = __dp4a(vi0, u[2*i+0], sumi);
+        sumi = __dp4a(vi1, u[2*i+1], sumi);
+    }
+
+    // second part effectively subtracts 8 from each quant value
+    return d4 * (sumi * __half2float(ds8.x) - (8*vdr/QI4_0) * __half2float(ds8.y));
+#else
+    return 0.0f; // only to satisfy the compiler
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+#define VDR_Q4_1_Q8_1_MMVQ 2
+#define VDR_Q4_1_Q8_1_MMQ  4
+
+template <int vdr> static __device__ __forceinline__ float vec_dot_q4_1_q8_1_impl(
+    const int * v, const int * u, const half2 & dm4, const half2 & ds8) {
+
+#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
+        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
+
+        // SIMD dot product of quantized values
+        sumi = __dp4a(vi0, u[2*i+0], sumi);
+        sumi = __dp4a(vi1, u[2*i+1], sumi);
+    }
+
+#ifdef GGML_CUDA_F16
+    const half2 tmp = __hmul2(dm4, ds8);
+    const float d4d8 = __half2float(tmp.x);
+    const float m4s8 = __half2float(tmp.y);
+#else
+    const float d4d8 = __half2float(dm4.x) * __half2float(ds8.x);
+    const float m4s8 = __half2float(dm4.y) * __half2float(ds8.y);
+#endif // GGML_CUDA_F16
+
+    // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it
+    return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1));
+#else
+    return 0.0f; // only to satisfy the compiler
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+#define VDR_Q5_0_Q8_1_MMVQ 2
+#define VDR_Q5_0_Q8_1_MMQ  4
+
+template <int vdr> static __device__ __forceinline__ float vec_dot_q5_0_q8_1_impl(
+    const int * vl, const int * vh, const int * u, const float & d5, const half2 & ds8) {
+
+#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
+    int sumi = 0;
+
+    for (int i = 0; i < vdr; ++i) {
+        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
+        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
+        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
+        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
+        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
+        sumi = __dp4a(vi0, u[2*i+0], sumi); // SIMD dot product of quantized values
+
+        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
+        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
+        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
+        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
+        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
+        sumi = __dp4a(vi1, u[2*i+1], sumi); // SIMD dot product of quantized values
+    }
+
+    // second part effectively subtracts 16 from each quant value
+    return d5 * (sumi*__half2float(ds8.x) - (16*vdr/QI5_0) * __half2float(ds8.y));
+#else
+    return 0.0f; // only to satisfy the compiler
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+#define VDR_Q5_1_Q8_1_MMVQ 2
+#define VDR_Q5_1_Q8_1_MMQ  4
+
+template <int vdr> static __device__ __forceinline__ float vec_dot_q5_1_q8_1_impl(
+    const int * vl, const int * vh, const int * u, const half2 & dm5, const half2 & ds8) {
+
+#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
+    int sumi = 0;
+
+    for (int i = 0; i < vdr; ++i) {
+        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
+        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
+        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
+        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
+        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
+        sumi = __dp4a(vi0, u[2*i+0], sumi); // SIMD dot product of quantized values
+
+        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
+        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
+        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
+        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
+        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
+        sumi = __dp4a(vi1, u[2*i+1], sumi); // SIMD dot product of quantized values
+    }
+
+#ifdef GGML_CUDA_F16
+    const half2 tmp = __hmul2(dm5, ds8);
+    const float d5d8 = __half2float(tmp.x);
+    const float m5s8 = __half2float(tmp.y);
+#else
+    const float d5d8 = __half2float(dm5.x) * __half2float(ds8.x);
+    const float m5s8 = __half2float(dm5.y) * __half2float(ds8.y);
+#endif // GGML_CUDA_F16
+
+    // scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it
+    return sumi*d5d8 + m5s8 / (QI5_1 / vdr);
+
+#else
+    return 0.0f; // only to satisfy the compiler
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+#define VDR_Q8_0_Q8_1_MMVQ 2
+#define VDR_Q8_0_Q8_1_MMQ 8
+
+template <int vdr> static __device__ __forceinline__ float vec_dot_q8_0_q8_1_impl(
+    const int * v, const int * u, const float & d8_0, const half2 & ds8_1) {
+
+#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
+    int sumi = 0;
+
+    for (int i = 0; i < vdr; ++i) {
+        // SIMD dot product of quantized values
+        sumi = __dp4a(v[i], u[i], sumi);
+    }
+
+    return sumi * d8_0 * __half2float(ds8_1.x);
+#else
+    return 0.0f; // only to satisfy the compiler
+#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+}
+
+template <int vdr> static __device__ __forceinline__ float vec_dot_q8_1_q8_1_impl(
+    const int * v, const int * u, const half2 & dm8, const half2 & ds8) {
+
+#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
+    int sumi = 0;
+
+    for (int i = 0; i < vdr; ++i) {
+        // SIMD dot product of quantized values
+        sumi = __dp4a(v[i], u[i], sumi);
+    }
+
+#ifdef GGML_CUDA_F16
+    const half2 tmp = __hmul2(dm8, ds8);
+    const float d8d8 = __half2float(tmp.x);
+    const float m8s8 = __half2float(tmp.y);
+#else
+    const float d8d8 = __half2float(dm8.x) * __half2float(ds8.x);
+    const float m8s8 = __half2float(dm8.y) * __half2float(ds8.y);
+#endif // GGML_CUDA_F16
+
+    // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it
+    return sumi*d8d8 + m8s8 / (QI8_1 / vdr);
 #else
     return 0.0f; // only to satisfy the compiler
 #endif // __CUDA_ARCH__ >= MIN_CC_DP4A
@@ -1388,25 +1551,31 @@ static __device__ __forceinline__ float vec_dot_q4_0_q8_1(
 
     const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
 
-    const int vi  = get_int_from_uint8(bq4_0->qs, iqs);
-    const int ui0 = get_int_from_int8_aligned(bq8_1->qs, iqs);
-    const int ui1 = get_int_from_int8_aligned(bq8_1->qs, iqs + QI4_0);
+    int v[VDR_Q4_0_Q8_1_MMVQ];
+    int u[2*VDR_Q4_0_Q8_1_MMVQ];
 
-    return vec_dot_q4_0_q8_1_impl(vi, ui0, ui1, bq4_0->d, bq8_1->ds);
+#pragma unroll
+    for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) {
+        v[i]     = get_int_from_uint8(bq4_0->qs, iqs + i);
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0);
+    }
+
+    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMVQ>(v, u, bq4_0->d, bq8_1->ds);
 }
 
 static __device__ __forceinline__ void allocate_tiles_q4_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
 
     __shared__ int  tile_x_qs[GGML_CUDA_MMQ_Y * (WARP_SIZE)       + GGML_CUDA_MMQ_Y];
-    __shared__ half2 tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI4_0) + GGML_CUDA_MMQ_Y/QI4_0];
+    __shared__ float tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI4_0) + GGML_CUDA_MMQ_Y/QI4_0];
 
     *x_ql = tile_x_qs;
-    *x_dm = tile_x_d;
+    *x_dm = (half2 *) tile_x_d;
 }
 
-static __device__ __forceinline__ void load_tiles_q4_0(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1418,14 +1587,20 @@ static __device__ __forceinline__ void load_tiles_q4_0(
 
     const block_q4_0 * bx0 = (block_q4_0 *) vx;
 
+    float * x_dmf = (float *) x_dm;
+
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx;
 
         x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
-        x_dm[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx].x = bxi->d;
+        x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d;
     }
 
 //     const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
@@ -1433,6 +1608,7 @@ static __device__ __forceinline__ void load_tiles_q4_0(
 
 // #pragma unroll
 //     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI4_0) {
+//         FIXME out-of-bounds
 //         const int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row;
 
 //         if (i >= GGML_CUDA_MMQ_Y) {
@@ -1457,39 +1633,19 @@ static __device__ __forceinline__ float vec_dot_q4_0_q8_1_mul_mat(
     __builtin_assume(k <  WARP_SIZE);
 
     const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
+    const float * x_dmf = (float *) x_dm;
 
-    return vec_dot_q4_0_q8_1_impl(
-        x_ql[i * (WARP_SIZE + 1) + k], y_qs[j * (2*WARP_SIZE) + kyqs], y_qs[j * (2*WARP_SIZE) + kyqs + (QI8_1/2)],
-        x_dm[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0].x, y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
-}
+    int u[2*VDR_Q4_0_Q8_1_MMQ];
 
-#define VDR_q4_1_q8_1 1
+#pragma unroll
+    for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * (2*WARP_SIZE) + kyqs + l];
+        u[2*l+1] = y_qs[j * (2*WARP_SIZE) + kyqs + l + QI4_0];
+    }
 
-static __device__ __forceinline__ float vec_dot_q4_1_q8_1_impl(
-    const int & vi, const int & ui0, const int & ui1, const half2 & dm4, const half2 & ds8) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const int vi0 = (vi >> 0) & 0x0F0F0F0F;
-    const int vi1 = (vi >> 4) & 0x0F0F0F0F;
-
-    // SIMD dot product of quantized values
-    int sumi = __dp4a(vi0, ui0, 0);
-    sumi     = __dp4a(vi1, ui1, sumi);
-
-#ifdef GGML_CUDA_F16
-    const half2 tmp = __hmul2(dm4, ds8);
-    const float d4d8 = __half2float(tmp.x);
-    const float m4s8 = __half2float(tmp.y);
-#else
-    const float d4d8 = __half2float(dm4.x) * __half2float(ds8.x);
-    const float m4s8 = __half2float(dm4.y) * __half2float(ds8.y);
-#endif // GGML_CUDA_F16
-
-    // scale second part of sum by QI8_1/QR4_1 to compensate for multiple threads adding it
-    return sumi * d4d8 + m4s8 / (QI8_1 / QR4_1);
-#else
-    return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0],
+         y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
 }
 
 static __device__ __forceinline__ float vec_dot_q4_1_q8_1(
@@ -1497,11 +1653,17 @@ static __device__ __forceinline__ float vec_dot_q4_1_q8_1(
 
     const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
 
-    const int vi = get_int_from_uint8_aligned(bq4_1->qs, iqs);
-    const int ui0 = get_int_from_int8_aligned(bq8_1->qs, iqs);
-    const int ui1 = get_int_from_int8_aligned(bq8_1->qs, iqs + QI4_1);
+    int v[VDR_Q4_1_Q8_1_MMVQ];
+    int u[2*VDR_Q4_1_Q8_1_MMVQ];
 
-    return vec_dot_q4_1_q8_1_impl(vi, ui0, ui1, bq4_1->dm, bq8_1->ds);
+#pragma unroll
+    for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) {
+        v[i]    = get_int_from_uint8_aligned(bq4_1->qs, iqs + i);
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1);
+    }
+
+    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMVQ>(v, u, bq4_1->dm, bq8_1->ds);
 }
 
 static __device__ __forceinline__ void allocate_tiles_q4_1(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
@@ -1513,9 +1675,9 @@ static __device__ __forceinline__ void allocate_tiles_q4_1(int ** x_ql, half2 **
     *x_dm = tile_x_dm;
 }
 
-static __device__ __forceinline__ void load_tiles_q4_1(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q4_1(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1529,7 +1691,11 @@ static __device__ __forceinline__ void load_tiles_q4_1(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -1541,7 +1707,11 @@ static __device__ __forceinline__ void load_tiles_q4_1(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI4_1) {
-        const int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row;
+        int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -1562,35 +1732,17 @@ static __device__ __forceinline__ float vec_dot_q4_1_q8_1_mul_mat(
 
     const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
 
-    return vec_dot_q4_1_q8_1_impl(
-        x_ql[i * (WARP_SIZE + 1) + k], y_qs[j * (2*WARP_SIZE) + kyqs], y_qs[j * (2*WARP_SIZE) + kyqs + (QI8_1/2)],
-        x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1], y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
-}
+    int u[2*VDR_Q4_1_Q8_1_MMQ];
 
-#define VDR_q5_0_q8_1 1
+#pragma unroll
+    for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * (2*WARP_SIZE) + kyqs + l];
+        u[2*l+1] = y_qs[j * (2*WARP_SIZE) + kyqs + l + QI4_1];
+    }
 
-static __device__ __forceinline__ float vec_dot_q5_0_q8_1_impl(
-    const int & qs, const int & qh, const int & ui0, const int & ui1, const half & d5, const half2 & ds8) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    int vi0 = (qs >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
-    vi0    |= (qh <<  4) & 0x00000010; // 0 ->  4
-    vi0    |= (qh << 11) & 0x00001000; // 1 -> 12
-    vi0    |= (qh << 18) & 0x00100000; // 2 -> 20
-    vi0    |= (qh << 25) & 0x10000000; // 3 -> 28
-    int sumi = __dp4a(vi0, ui0, 0); // SIMD dot product of quantized values
-
-    int vi1 = (qs >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
-    vi1    |= (qh >> 12) & 0x00000010; // 16 ->  4
-    vi1    |= (qh >>  5) & 0x00001000; // 17 -> 12
-    vi1    |= (qh <<  2) & 0x00100000; // 18 -> 20
-    vi1    |= (qh <<  9) & 0x10000000; // 19 -> 28
-    sumi = __dp4a(vi1, ui1, sumi); // SIMD dot product of quantized values
-
-    return __half2float(d5) * (sumi*__half2float(ds8.x) - (16/QI5_0) * __half2float(ds8.y));
-#else
-    return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1],
+         y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
 }
 
 static __device__ __forceinline__ float vec_dot_q5_0_q8_1(
@@ -1598,28 +1750,33 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1(
 
     const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
 
-    const int qs = get_int_from_uint8(bq5_0->qs, iqs);
-    const int qh = get_int_from_uint8(bq5_0->qh, 0) >> (4 * iqs);
-    const int ui0 = get_int_from_int8_aligned(bq8_1->qs, iqs);
-    const int ui1 = get_int_from_int8_aligned(bq8_1->qs, iqs + QI5_0);
+    int vl[VDR_Q5_0_Q8_1_MMVQ];
+    int vh[VDR_Q5_0_Q8_1_MMVQ];
+    int  u[2*VDR_Q5_0_Q8_1_MMVQ];
 
-    return vec_dot_q5_0_q8_1_impl(qs, qh, ui0, ui1, bq5_0->d, bq8_1->ds);
+#pragma unroll
+    for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) {
+        vl[i]    = get_int_from_uint8(bq5_0->qs, iqs + i);
+        vh[i]    = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i));
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0);
+    }
+
+    return vec_dot_q5_0_q8_1_impl<VDR_Q5_0_Q8_1_MMVQ>(vl, vh, u, bq5_0->d, bq8_1->ds);
 }
 
 static __device__ __forceinline__ void allocate_tiles_q5_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
 
-    __shared__ int  tile_x_ql[GGML_CUDA_MMQ_Y * (WARP_SIZE)       + GGML_CUDA_MMQ_Y];
-    __shared__ int  tile_x_qh[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI5_0) + GGML_CUDA_MMQ_Y/QI5_0];
-    __shared__ half2 tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI5_0) + GGML_CUDA_MMQ_Y/QI5_0];
+    __shared__ int  tile_x_ql[GGML_CUDA_MMQ_Y * (2*WARP_SIZE)     + GGML_CUDA_MMQ_Y];
+    __shared__ float tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI5_0) + GGML_CUDA_MMQ_Y/QI5_0];
 
     *x_ql = tile_x_ql;
-    *x_qh = tile_x_qh;
-    *x_dm = tile_x_d;
+    *x_dm = (half2 *) tile_x_d;
 }
 
-static __device__ __forceinline__ void load_tiles_q5_0(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q5_0(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1633,24 +1790,51 @@ static __device__ __forceinline__ void load_tiles_q5_0(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
+        const int ql = get_int_from_uint8(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0));
+
+        int qs0 = (ql >>  0)   & 0x0F0F0F0F;
+        qs0    |= (qh <<  4)   & 0x00000010;  // 0 ->  4
+        qs0    |= (qh << 11)   & 0x00001000;  // 1 -> 12
+        qs0    |= (qh << 18)   & 0x00100000;  // 2 -> 20
+        qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
+        qs0     = __vsubss4(qs0, 0x10101010); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
+
+        int qs1 = (ql >>  4)   & 0x0F0F0F0F;
+        qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
+        qs1    |= (qh >>  5)   & 0x00001000;  // 17 -> 12
+        qs1    |= (qh <<  2)   & 0x00100000;  // 18 -> 20
+        qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
+        qs1     = __vsubss4(qs1, 0x10101010); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
     const int kbxd = k % blocks_per_tile_x_row;
+    float * x_dmf = (float *) x_dm;
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI5_0) {
-        const int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row;
+        int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd;
 
-        x_qh[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd]   = get_int_from_uint8(bxi->qh, 0);
-        x_dm[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd].x = bxi->d;
+        x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d;
     }
 }
 
@@ -1667,46 +1851,18 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1_mul_mat(
 
     const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
     const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0;
+    const float * x_dmf = (float *) x_dm;
 
-    return vec_dot_q5_0_q8_1_impl(
-        x_ql[i * (WARP_SIZE + 1) + k], x_qh[index_bx] >> (4 * (k % QI5_0)), y_qs[j * (2*WARP_SIZE) + kyqs],
-        y_qs[j * (2*WARP_SIZE) + kyqs + (QI8_1/2)], x_dm[index_bx].x, y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
-}
+    int u[2*VDR_Q5_0_Q8_1_MMQ];
 
-#define VDR_q5_1_q8_1 1
+#pragma unroll
+    for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * (2*WARP_SIZE) + kyqs + l];
+        u[2*l+1] = y_qs[j * (2*WARP_SIZE) + kyqs + l + QI5_0];
+    }
 
-static __device__ __forceinline__ float vec_dot_q5_1_q8_1_impl(
-    const int & qs, const int & qh, const int & ui0, const int & ui1, const half2 & dm5, const half2 & ds8) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    int vi0 = (qs >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh0 as 5th bits
-    vi0    |= (qh <<  4) & 0x00000010; // 0 ->  4
-    vi0    |= (qh << 11) & 0x00001000; // 1 -> 12
-    vi0    |= (qh << 18) & 0x00100000; // 2 -> 20
-    vi0    |= (qh << 25) & 0x10000000; // 3 -> 28
-    int sumi = __dp4a(vi0, ui0, 0); // SIMD dot product of quantized values
-
-    int vi1 = (qs >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh1 as 5th bits
-    vi1    |= (qh >> 12) & 0x00000010; // 16 ->  4
-    vi1    |= (qh >>  5) & 0x00001000; // 17 -> 12
-    vi1    |= (qh <<  2) & 0x00100000; // 18 -> 20
-    vi1    |= (qh <<  9) & 0x10000000; // 19 -> 28
-    sumi = __dp4a(vi1, ui1, sumi); // SIMD dot product of quantized values
-
-#ifdef GGML_CUDA_F16
-    const half2 tmp = __hmul2(dm5, ds8);
-    const float d5d8 = __half2float(tmp.x);
-    const float m5s8 = __half2float(tmp.y);
-#else
-    const float d5d8 = __half2float(dm5.x) * __half2float(ds8.x);
-    const float m5s8 = __half2float(dm5.y) * __half2float(ds8.y);
-#endif // GGML_CUDA_F16
-
-    return sumi*d5d8 + m5s8/QI5_1; // scale sum by QI5_1 because there are QI5_1 threads working on this block
-
-#else
-    return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+    return vec_dot_q8_0_q8_1_impl<QR5_0*VDR_Q5_0_Q8_1_MMQ>
+        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
 }
 
 static __device__ __forceinline__ float vec_dot_q5_1_q8_1(
@@ -1714,28 +1870,33 @@ static __device__ __forceinline__ float vec_dot_q5_1_q8_1(
 
     const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
 
-    const int qs = get_int_from_uint8_aligned(bq5_1->qs, iqs);
-    const int qh = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * iqs);
-    const int ui0 = get_int_from_int8_aligned(bq8_1->qs, iqs);
-    const int ui1 = get_int_from_int8_aligned(bq8_1->qs, iqs + QI5_1);
+    int vl[VDR_Q5_1_Q8_1_MMVQ];
+    int vh[VDR_Q5_1_Q8_1_MMVQ];
+    int  u[2*VDR_Q5_1_Q8_1_MMVQ];
 
-    return vec_dot_q5_1_q8_1_impl(qs, qh, ui0, ui1, bq5_1->dm, bq8_1->ds);
+#pragma unroll
+    for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) {
+        vl[i]   = get_int_from_uint8_aligned(bq5_1->qs, iqs + i);
+        vh[i]   = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i));
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1);
+    }
+
+    return vec_dot_q5_1_q8_1_impl<VDR_Q5_1_Q8_1_MMVQ>(vl, vh, u, bq5_1->dm, bq8_1->ds);
 }
 
 static __device__ __forceinline__ void allocate_tiles_q5_1(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
 
-    __shared__ int   tile_x_ql[GGML_CUDA_MMQ_Y * (WARP_SIZE )      + GGML_CUDA_MMQ_Y];
-    __shared__ int   tile_x_qh[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI5_1) + GGML_CUDA_MMQ_Y/QI5_1];
+    __shared__ int   tile_x_ql[GGML_CUDA_MMQ_Y * (2*WARP_SIZE)     + GGML_CUDA_MMQ_Y];
     __shared__ half2 tile_x_dm[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI5_1) + GGML_CUDA_MMQ_Y/QI5_1];
 
     *x_ql = tile_x_ql;
-    *x_qh = tile_x_qh;
     *x_dm = tile_x_dm;
 }
 
-static __device__ __forceinline__ void load_tiles_q5_1(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q5_1(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1749,11 +1910,32 @@ static __device__ __forceinline__ void load_tiles_q5_1(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1));
+
+        int qs0 = (ql >>  0) & 0x0F0F0F0F;
+        qs0    |= (qh <<  4) & 0x00000010; // 0 ->  4
+        qs0    |= (qh << 11) & 0x00001000; // 1 -> 12
+        qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
+        qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
+
+        int qs1 = (ql >>  4) & 0x0F0F0F0F;
+        qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
+        qs1    |= (qh >>  5) & 0x00001000; // 17 -> 12
+        qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
+        qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
@@ -1761,11 +1943,14 @@ static __device__ __forceinline__ void load_tiles_q5_1(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI5_1) {
-        const int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row;
+        int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd;
 
-        x_qh[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = get_int_from_uint8_aligned(bxi->qh, 0);
         x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm;
     }
 }
@@ -1784,24 +1969,16 @@ static __device__ __forceinline__ float vec_dot_q5_1_q8_1_mul_mat(
     const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
     const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1;
 
-    return vec_dot_q5_1_q8_1_impl(
-        x_ql[i * (WARP_SIZE + 1) + k], x_qh[index_bx] >> (4 * (k % QI5_1)), y_qs[j * (2*WARP_SIZE) + kyqs],
-        y_qs[j * (2*WARP_SIZE) + kyqs + (QI8_1/2)], x_dm[index_bx], y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
-}
+    int u[2*VDR_Q5_1_Q8_1_MMQ];
 
-#define VDR_q8_0_q8_1 1
+#pragma unroll
+    for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * (2*WARP_SIZE) + kyqs + l];
+        u[2*l+1] = y_qs[j * (2*WARP_SIZE) + kyqs + l + QI5_1];
+    }
 
-static __device__ __forceinline__ float vec_dot_q8_0_q8_1_impl(
-    const int & vi, const int & ui, const half & d8_0, const half2 & ds8_1) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    // SIMD dot product of quantized values
-    const int sumi = __dp4a(vi, ui, 0);
-
-    return sumi * __half2float(d8_0) * __half2float(ds8_1.x);
-#else
-    return 0.0f; // only to satisfy the compiler
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
+    return vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
+        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (2*WARP_SIZE/QI8_1) + 2*k/QI8_1]);
 }
 
 static __device__ __forceinline__ float vec_dot_q8_0_q8_1(
@@ -1809,24 +1986,29 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1(
 
     const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
 
-    const int vi = get_int_from_int8(bq8_0->qs, iqs);
-    const int ui = get_int_from_int8_aligned(bq8_1->qs, iqs);
+    int v[VDR_Q8_0_Q8_1_MMVQ];
+    int u[VDR_Q8_0_Q8_1_MMVQ];
 
-    return vec_dot_q8_0_q8_1_impl(vi, ui, bq8_0->d, bq8_1->ds);
+    for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) {
+        v[i] = get_int_from_int8(bq8_0->qs, iqs + i);
+        u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+    }
+
+    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d, bq8_1->ds);
 }
 
 static __device__ __forceinline__ void allocate_tiles_q8_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
 
     __shared__ int  tile_x_qs[GGML_CUDA_MMQ_Y * (WARP_SIZE)       + GGML_CUDA_MMQ_Y];
-    __shared__ half2 tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI8_0) + GGML_CUDA_MMQ_Y/QI8_0];
+    __shared__ float tile_x_d[GGML_CUDA_MMQ_Y * (WARP_SIZE/QI8_0) + GGML_CUDA_MMQ_Y/QI8_0];
 
     *x_ql = tile_x_qs;
-    *x_dm = tile_x_d;
+    *x_dm = (half2 *) tile_x_d;
 }
 
-static __device__ __forceinline__ void load_tiles_q8_0(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q8_0(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1835,17 +2017,22 @@ static __device__ __forceinline__ void load_tiles_q8_0(
 
     const int kbx  = k / QI8_0;
     const int kqsx = k % QI8_0;
+    float * x_dmf = (float *) x_dm;
 
     const block_q8_0 * bx0 = (block_q8_0 *) vx;
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx;
 
         x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx);
-        x_dm[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbx].x = bxi->d;
+        x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbx] = bxi->d;
     }
 
 //     const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
@@ -1853,6 +2040,7 @@ static __device__ __forceinline__ void load_tiles_q8_0(
 
 // #pragma unroll
 //     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI8_0) {
+//         FIXME out-of-bounds
 //         const int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row;
 
 // #if GGML_CUDA_MMQ_Y < 64
@@ -1878,9 +2066,11 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1_mul_mat(
     __builtin_assume(k >= 0);
     __builtin_assume(k <  WARP_SIZE);
 
-    return vec_dot_q8_0_q8_1_impl(
-        x_ql[i * (WARP_SIZE + 1) + k], y_qs[j*WARP_SIZE + k],
-        x_dm[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0].x, y_ds[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
+    const float * x_dmf = (float *) x_dm;
+
+    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0],
+         y_ds[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
 }
 
 #define VDR_q2_K_q8_1 1
@@ -1947,9 +2137,9 @@ static __device__ __forceinline__ void allocate_tiles_q2_K(int ** x_ql, half2 **
     *x_sc = tile_x_sc;
 }
 
-static __device__ __forceinline__ void load_tiles_q2_K(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q2_K(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -1963,7 +2153,11 @@ static __device__ __forceinline__ void load_tiles_q2_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -1975,7 +2169,11 @@ static __device__ __forceinline__ void load_tiles_q2_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI2_K) {
-        const int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -1984,7 +2182,11 @@ static __device__ __forceinline__ void load_tiles_q2_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 4) {
-        const int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4);
 
@@ -2099,9 +2301,9 @@ static __device__ __forceinline__ void allocate_tiles_q3_K(int ** x_ql, half2 **
     *x_sc = tile_x_sc;
 }
 
-static __device__ __forceinline__ void load_tiles_q3_K(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q3_K(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -2115,7 +2317,11 @@ static __device__ __forceinline__ void load_tiles_q3_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -2127,7 +2333,11 @@ static __device__ __forceinline__ void load_tiles_q3_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI3_K) {
-        const int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -2136,7 +2346,11 @@ static __device__ __forceinline__ void load_tiles_q3_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 2) {
-        const int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
+        int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2);
 
@@ -2145,7 +2359,11 @@ static __device__ __forceinline__ void load_tiles_q3_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 4) {
-        const int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4);
 
@@ -2226,15 +2444,15 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
     int    u[2*QR4_K];
     float d8[QR4_K];
 
-    // iqs is in 0...15. bq8_offset = 2 * (iqs/4) -> bq8_offset = 0, 2, 4, 6
-    const int bq8_offset = QR4_K * (iqs / (QI8_1/2));
+    // iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6
+    const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2));
 
     // iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12
     // iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44
     // iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76
     // iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108
 
-    const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * (iqs%4));
+    const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
     v[0] = q4[0];
     v[1] = q4[4];
 
@@ -2255,7 +2473,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
         const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
         d8[i] = bq8i->ds.x;
 
-        const int * q8 = (const int *)bq8i->qs + (iqs%4);
+        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
         u[2*i+0] = q8[0];
         u[2*i+1] = q8[4];
     }
@@ -2283,12 +2501,12 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
     const float d8_1 = bq8_1[0].ds.x;
     const float d8_2 = bq8_1[1].ds.x;
 
-    const int ui1 = *((const int *)bq8_1[0].qs + iqs);
-    const int ui2 = *((const int *)bq8_1[0].qs + iqs + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + iqs);
-    const int ui4 = *((const int *)bq8_1[1].qs + iqs + 4);
+    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
+    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
+    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
+    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
 
-    const int * q4 = (const int *)bq4_K->qs + iqs;
+    const int * q4 = (const int *)bq4_K->qs + (iqs/2);
     const int v1 = q4[0];
     const int v2 = q4[4];
 
@@ -2320,9 +2538,9 @@ static __device__ __forceinline__ void allocate_tiles_q4_K(int ** x_ql, half2 **
     *x_sc = tile_x_sc;
 }
 
-static __device__ __forceinline__ void load_tiles_q4_K(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q4_K(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -2336,7 +2554,11 @@ static __device__ __forceinline__ void load_tiles_q4_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -2348,7 +2570,11 @@ static __device__ __forceinline__ void load_tiles_q4_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI4_K) {
-        const int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -2357,7 +2583,11 @@ static __device__ __forceinline__ void load_tiles_q4_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 8) {
-        const int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8);
 
@@ -2383,11 +2613,11 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1_mul_mat(
     int    u[2*QR4_K];
     float d8[QR4_K];
 
-    // iqs is in 0...15. bq8_offset = 2 * (iqs/4) -> bq8_offset = 0, 2, 4, 6
-    const int bq8_offset = QR4_K * (kqsx / (QI8_1/2));
+    // kqsx is in 0,2...30. bq8_offset = 2 * (kqsx/4) -> bq8_offset = 0, 2, 4, 6
+    const int bq8_offset = QR4_K * ((kqsx/2) / (QI8_1/2));
 
-    v[0] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + kqsx % 4 + 0];
-    v[1] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + kqsx % 4 + 4];
+    v[0] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + (kqsx/2) % 4 + 0];
+    v[1] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + (kqsx/2) % 4 + 4];
 
     const uint16_t * scales = (const uint16_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + kbx * 4];
     uint16_t aux[2];
@@ -2403,7 +2633,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1_mul_mat(
     const uint8_t * m  = sc + 2;
 
     for (int l = 0; l < QR4_K; ++l) {
-        const int kqsy = j * (QR4_K*WARP_SIZE) + kbx * (QR4_K*QI4_K) + (bq8_offset + l) * QI8_1 + kqsx % (QI8_1/2);
+        const int kqsy = j * (QR4_K*WARP_SIZE) + kbx * (QR4_K*QI4_K) + (bq8_offset + l) * QI8_1 + (kqsx/2) % (QI8_1/2);
         u[2*l+0] = y_qs[kqsy + 0*(QI8_1/2)];
         u[2*l+1] = y_qs[kqsy + 1*(QI8_1/2)];
         d8[l] = y_ds[kqsy / QI8_1].x;
@@ -2458,9 +2688,9 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
     int    u[2*QR5_K];
     float d8[QR5_K];
 
-    const int bq8_offset = QR5_K * (iqs / (QI8_1/2));
-    const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * (iqs%4));
-    const int * qh = (const int *)(bq5_K->qh + 4 * (iqs%4));
+    const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2));
+    const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
+    const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4));
 
     vl[0] = ql[0];
     vl[1] = ql[4];
@@ -2485,7 +2715,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
         const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
         d8[i] = bq8i->ds.x;
 
-        const int * q8 = (const int *)bq8i->qs + (iqs%4);
+        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
         u[2*i+0] = q8[0];
         u[2*i+1] = q8[4];
     }
@@ -2504,17 +2734,17 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
     const float d8_1 = bq8_1[0].ds.x;
     const float d8_2 = bq8_1[1].ds.x;
 
-    const int ui1 = *((const int *)bq8_1[0].qs + iqs);
-    const int ui2 = *((const int *)bq8_1[0].qs + iqs + 4);
-    const int ui3 = *((const int *)bq8_1[1].qs + iqs);
-    const int ui4 = *((const int *)bq8_1[1].qs + iqs + 4);
+    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
+    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
+    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
+    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
 
-    const int * ql = (const int *)bq5_K->qs + iqs;
+    const int * ql = (const int *)bq5_K->qs + (iqs/2);
     const int vl1 = ql[0];
     const int vl2 = ql[4];
 
-    const int step = 4 * iqs; // 0, 4, 8, 12
-    const int im = step/8; // = 0 for iqs = 0, 1, = 1 for iqs = 2, 3
+    const int step = 4 * (iqs/2); // 0, 4, 8, 12
+    const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6
     const int in = step%8; // 0, 4, 0, 4
     const int vh = (*((const int *)(bq5_K->qh + in))) >> im;
 
@@ -2548,9 +2778,9 @@ static __device__ __forceinline__ void allocate_tiles_q5_K(int ** x_ql, half2 **
     *x_sc = tile_x_sc;
 }
 
-static __device__ __forceinline__ void load_tiles_q5_K(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q5_K(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -2564,7 +2794,11 @@ static __device__ __forceinline__ void load_tiles_q5_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -2576,7 +2810,11 @@ static __device__ __forceinline__ void load_tiles_q5_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI5_K) {
-        const int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -2585,7 +2823,11 @@ static __device__ __forceinline__ void load_tiles_q5_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 4) {
-        const int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI5_K/4);
 
@@ -2594,7 +2836,11 @@ static __device__ __forceinline__ void load_tiles_q5_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 8) {
-        const int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8);
 
@@ -2621,13 +2867,13 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1_mul_mat(
     int    u[2*QR4_K];
     float d8[QR4_K];
 
-    const int bq8_offset = QR5_K * (kqsx / (QI8_1/2));
+    const int bq8_offset = QR5_K * ((kqsx/2) / (QI8_1/2));
 
-    vl[0] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + kqsx % 4 + 0];
-    vl[1] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + kqsx % 4 + 4];
+    vl[0] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + (kqsx/2) % 4 + 0];
+    vl[1] = x_ql[i * (WARP_SIZE + 1) + 4 * bq8_offset + (kqsx/2) % 4 + 4];
 
-    vh[0] = x_qh[i * (WARP_SIZE/4) + i/4 + kqsx % 4 + 0] >> bq8_offset;
-    vh[1] = x_qh[i * (WARP_SIZE/4) + i/4 + kqsx % 4 + 4] >> bq8_offset;
+    vh[0] = x_qh[i * (WARP_SIZE/4) + i/4 + (kqsx/2) % 4 + 0] >> bq8_offset;
+    vh[1] = x_qh[i * (WARP_SIZE/4) + i/4 + (kqsx/2) % 4 + 4] >> bq8_offset;
 
     const uint16_t * scales = (const uint16_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + kbx * 4];
     uint16_t aux[2];
@@ -2643,7 +2889,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1_mul_mat(
     const uint8_t * m  = sc + 2;
 
     for (int l = 0; l < QR5_K; ++l) {
-        const int kqsy = j * (QR5_K*WARP_SIZE) + kbx * (QR5_K*QI5_K) + (bq8_offset + l) * QI8_1 + kqsx % (QI8_1/2);
+        const int kqsy = j * (QR5_K*WARP_SIZE) + kbx * (QR5_K*QI5_K) + (bq8_offset + l) * QI8_1 + (kqsx/2) % (QI8_1/2);
         u[2*l+0] = y_qs[kqsy + 0*(QI8_1/2)];
         u[2*l+1] = y_qs[kqsy + 1*(QI8_1/2)];
         d8[l] = y_ds[kqsy / QI8_1].x;
@@ -2717,9 +2963,9 @@ static __device__ __forceinline__ void allocate_tiles_q6_K(int ** x_ql, half2 **
     *x_sc = tile_x_sc;
 }
 
-static __device__ __forceinline__ void load_tiles_q6_K(
+template <bool need_check> static __device__ __forceinline__ void load_tiles_q6_K(
     const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & k, const int & blocks_per_row) {
+    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
 
     __builtin_assume(i_offset >= 0);
     __builtin_assume(i_offset <  8);
@@ -2733,7 +2979,11 @@ static __device__ __forceinline__ void load_tiles_q6_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8) {
-        const int i = i0 + i_offset;
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx;
 
@@ -2745,7 +2995,11 @@ static __device__ __forceinline__ void load_tiles_q6_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * QI6_K) {
-        const int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd;
 
@@ -2754,7 +3008,11 @@ static __device__ __forceinline__ void load_tiles_q6_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 2) {
-        const int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
+        int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI6_K/2);
 
@@ -2763,7 +3021,11 @@ static __device__ __forceinline__ void load_tiles_q6_K(
 
 #pragma unroll
     for (int i0 = 0; i0 < GGML_CUDA_MMQ_Y; i0 += 8 * 8) {
-        const int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % GGML_CUDA_MMQ_Y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
 
         const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4;
 
@@ -2849,7 +3111,7 @@ static __global__ void mul_mat_q(
     for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) {
 
         load_tiles(x + row_x_0*blocks_per_row_x + ib0, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc,
-                   tid_y, tid_x, blocks_per_row_x);
+                   tid_y, nrows_x-row_x_0-1, tid_x, blocks_per_row_x);
 
         for (int ir = 0; ir < qr; ++ir) {
             const int kqs = ir*WARP_SIZE + tid_x;
@@ -2873,10 +3135,10 @@ static __global__ void mul_mat_q(
 
         __syncthreads();
 
-#if __CUDA_ARCH__ >= 700 // TODO: actually test this with compute capability 7.X cards
+#if __CUDA_ARCH__ >= 700 // Unrolling the loop is slower on Pascal
 #pragma unroll
 #endif // __CUDA_ARCH__ >= 700
-        for (int k = 0; k < WARP_SIZE/vdr; ++k) {
+        for (int k = 0; k < WARP_SIZE; k += vdr) {
 #pragma unroll
             for (int j = 0; j < WARP_SIZE; j += 8) {
 #pragma unroll
@@ -2928,9 +3190,9 @@ static __global__ void mul_mat_vec_q(const void * __restrict__ vx, const void *
     for (int i = 0; i < blocks_per_row; i += blocks_per_warp) {
         const int ibx = row*blocks_per_row + i + threadIdx.x / (qi/vdr); // x block index
 
-        const int iby = (i + threadIdx.x / (qi/vdr)) * qk/QK8_1; // y block index that aligns with ibx
+        const int iby = (i + threadIdx.x / (qi/vdr)) * (qk/QK8_1); // y block index that aligns with ibx
 
-        const int iqs  = threadIdx.x % (qi/vdr); // x block quant index when casting the quants to int
+        const int iqs  = vdr * (threadIdx.x % (qi/vdr)); // x block quant index when casting the quants to int
 
         tmp += vec_dot_q_cuda(&x[ibx], &y[iby], iqs);
     }
@@ -3473,7 +3735,7 @@ static void mul_mat_vec_q4_0_q8_1_cuda(const void * vx, const void * vy, float *
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(1, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    mul_mat_vec_q<QK4_0, QI4_0, block_q4_0, VDR_q4_0_q8_1, vec_dot_q4_0_q8_1>
+    mul_mat_vec_q<QK4_0, QI4_0, block_q4_0, VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
 }
 
@@ -3482,7 +3744,7 @@ static void mul_mat_vec_q4_1_q8_1_cuda(const void * vx, const void * vy, float *
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(1, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    mul_mat_vec_q<QK4_0, QI4_1, block_q4_1, VDR_q4_1_q8_1, vec_dot_q4_1_q8_1>
+    mul_mat_vec_q<QK4_0, QI4_1, block_q4_1, VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
 }
 
@@ -3491,7 +3753,7 @@ static void mul_mat_vec_q5_0_q8_1_cuda(const void * vx, const void * vy, float *
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(1, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    mul_mat_vec_q<QK5_0, QI5_0, block_q5_0, VDR_q5_0_q8_1, vec_dot_q5_0_q8_1>
+    mul_mat_vec_q<QK5_0, QI5_0, block_q5_0, VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
 }
 
@@ -3500,7 +3762,7 @@ static void mul_mat_vec_q5_1_q8_1_cuda(const void * vx, const void * vy, float *
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(1, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    mul_mat_vec_q<QK5_1, QI5_1, block_q5_1, VDR_q5_1_q8_1, vec_dot_q5_1_q8_1>
+    mul_mat_vec_q<QK5_1, QI5_1, block_q5_1, VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
 }
 
@@ -3509,7 +3771,7 @@ static void mul_mat_vec_q8_0_q8_1_cuda(const void * vx, const void * vy, float *
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(1, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    mul_mat_vec_q<QK8_0, QI8_0, block_q8_0, VDR_q8_0_q8_1, vec_dot_q8_0_q8_1>
+    mul_mat_vec_q<QK8_0, QI8_0, block_q8_0, VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols, nrows);
 }
 
@@ -3609,8 +3871,14 @@ static void ggml_mul_mat_q4_0_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK4_0, QR4_0, QI4_0, block_q4_0, allocate_tiles_q4_0, load_tiles_q4_0, VDR_q4_0_q8_1, vec_dot_q4_0_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK4_0, QR4_0, QI4_0, block_q4_0, allocate_tiles_q4_0, load_tiles_q4_0<false>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK4_0, QR4_0, QI4_0, block_q4_0, allocate_tiles_q4_0, load_tiles_q4_0<true>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q4_1_q8_1_cuda(
@@ -3621,8 +3889,14 @@ static void ggml_mul_mat_q4_1_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK4_1, QR4_1, QI4_1, block_q4_1, allocate_tiles_q4_1, load_tiles_q4_1, VDR_q4_1_q8_1, vec_dot_q4_1_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK4_1, QR4_1, QI4_1, block_q4_1, allocate_tiles_q4_1, load_tiles_q4_1<false>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK4_1, QR4_1, QI4_1, block_q4_1, allocate_tiles_q4_1, load_tiles_q4_1<true>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q5_0_q8_1_cuda(
@@ -3633,8 +3907,14 @@ static void ggml_mul_mat_q5_0_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK5_0, QR5_0, QI5_0, block_q5_0, allocate_tiles_q5_0, load_tiles_q5_0, VDR_q5_0_q8_1, vec_dot_q5_0_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK5_0, QR5_0, QI5_0, block_q5_0, allocate_tiles_q5_0, load_tiles_q5_0<false>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK5_0, QR5_0, QI5_0, block_q5_0, allocate_tiles_q5_0, load_tiles_q5_0<true>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q5_1_q8_1_cuda(
@@ -3645,8 +3925,14 @@ static void ggml_mul_mat_q5_1_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK5_1, QR5_1, QI5_1, block_q5_1, allocate_tiles_q5_1, load_tiles_q5_1, VDR_q5_1_q8_1, vec_dot_q5_1_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK5_1, QR5_1, QI5_1, block_q5_1, allocate_tiles_q5_1, load_tiles_q5_1<false>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK5_1, QR5_1, QI5_1, block_q5_1, allocate_tiles_q5_1, load_tiles_q5_1<true>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q8_0_q8_1_cuda(
@@ -3657,8 +3943,14 @@ static void ggml_mul_mat_q8_0_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK8_0, QR8_0, QI8_0, block_q8_0, allocate_tiles_q8_0, load_tiles_q8_0, VDR_q8_0_q8_1, vec_dot_q8_0_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK8_0, QR8_0, QI8_0, block_q8_0, allocate_tiles_q8_0, load_tiles_q8_0<false>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK8_0, QR8_0, QI8_0, block_q8_0, allocate_tiles_q8_0, load_tiles_q8_0<true>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q2_K_q8_1_cuda(
@@ -3669,8 +3961,14 @@ static void ggml_mul_mat_q2_K_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK_K, QR2_K, QI2_K, block_q2_K, allocate_tiles_q2_K, load_tiles_q2_K, VDR_q2_K_q8_1, vec_dot_q2_K_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK_K, QR2_K, QI2_K, block_q2_K, allocate_tiles_q2_K, load_tiles_q2_K<false>, VDR_q2_K_q8_1, vec_dot_q2_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK_K, QR2_K, QI2_K, block_q2_K, allocate_tiles_q2_K, load_tiles_q2_K<true>, VDR_q2_K_q8_1, vec_dot_q2_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q3_K_q8_1_cuda(
@@ -3681,8 +3979,14 @@ static void ggml_mul_mat_q3_K_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK_K, QR3_K, QI3_K, block_q3_K, allocate_tiles_q3_K, load_tiles_q3_K, VDR_q3_K_q8_1, vec_dot_q3_K_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK_K, QR3_K, QI3_K, block_q3_K, allocate_tiles_q3_K, load_tiles_q3_K<false>, VDR_q3_K_q8_1, vec_dot_q3_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK_K, QR3_K, QI3_K, block_q3_K, allocate_tiles_q3_K, load_tiles_q3_K<true>, VDR_q3_K_q8_1, vec_dot_q3_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q4_K_q8_1_cuda(
@@ -3693,8 +3997,14 @@ static void ggml_mul_mat_q4_K_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK_K, QR4_K, QI4_K, block_q4_K, allocate_tiles_q4_K, load_tiles_q4_K, VDR_q4_K_q8_1, vec_dot_q4_K_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK_K, QR4_K, QI4_K, block_q4_K, allocate_tiles_q4_K, load_tiles_q4_K<false>, VDR_q4_K_q8_1, vec_dot_q4_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK_K, QR4_K, QI4_K, block_q4_K, allocate_tiles_q4_K, load_tiles_q4_K<true>, VDR_q4_K_q8_1, vec_dot_q4_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q5_K_q8_1_cuda(
@@ -3705,8 +4015,14 @@ static void ggml_mul_mat_q5_K_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK_K, QR5_K, QI5_K, block_q5_K, allocate_tiles_q5_K, load_tiles_q5_K, VDR_q5_K_q8_1, vec_dot_q5_K_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK_K, QR5_K, QI5_K, block_q5_K, allocate_tiles_q5_K, load_tiles_q5_K<false>, VDR_q5_K_q8_1, vec_dot_q5_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK_K, QR5_K, QI5_K, block_q5_K, allocate_tiles_q5_K, load_tiles_q5_K<true>, VDR_q5_K_q8_1, vec_dot_q5_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_q6_K_q8_1_cuda(
@@ -3717,8 +4033,14 @@ static void ggml_mul_mat_q6_K_q8_1_cuda(
     const int block_num_y = (ncols_y + WARP_SIZE - 1) / WARP_SIZE;
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, WARP_SIZE/4, 1);
-    mul_mat_q<QK_K, QR6_K, QI6_K, block_q6_K, allocate_tiles_q6_K, load_tiles_q6_K, VDR_q6_K_q8_1, vec_dot_q6_K_q8_1_mul_mat>
-        <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+
+    if (nrows_x % GGML_CUDA_MMQ_Y == 0) {
+        mul_mat_q<QK_K, QR6_K, QI6_K, block_q6_K, allocate_tiles_q6_K, load_tiles_q6_K<false>, VDR_q6_K_q8_1, vec_dot_q6_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    } else {
+        mul_mat_q<QK_K, QR6_K, QI6_K, block_q6_K, allocate_tiles_q6_K, load_tiles_q6_K<true>, VDR_q6_K_q8_1, vec_dot_q6_K_q8_1_mul_mat>
+            <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
+    }
 }
 
 static void ggml_mul_mat_p021_f16_f32_cuda(
@@ -4664,8 +4986,12 @@ static void ggml_cuda_op(const ggml_tensor * src0, const ggml_tensor * src1, ggm
             row_low = id == 0 ? 0 : nrows0*g_tensor_split[id];
             row_low -= row_low % GGML_CUDA_MMQ_Y;
 
-            row_high = id == g_device_count - 1 ? nrows0 : nrows0*g_tensor_split[id + 1];
-            row_high -= row_high % GGML_CUDA_MMQ_Y;
+            if (id == g_device_count - 1) {
+                row_high = nrows0;
+            } else {
+                row_high = nrows0*g_tensor_split[id + 1];
+                row_high -= row_high % GGML_CUDA_MMQ_Y;
+            }
         } else {
             row_low = 0;
             row_high = nrows0*i02_divisor;
@@ -4877,7 +5203,7 @@ static void ggml_cuda_op(const ggml_tensor * src0, const ggml_tensor * src1, ggm
     if (split && g_device_count > 1) {
         CUDA_CHECK(cudaSetDevice(g_main_device));
         for (int id = 0; id < g_device_count; ++id) {
-            if (id != g_main_device) {
+            if (id != g_main_device && src0_extra->events[id]) {
                 CUDA_CHECK(cudaStreamWaitEvent(g_cudaStreams_main[g_main_device], src0_extra->events[id]));
             }
         }
@@ -5021,7 +5347,8 @@ void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_
         } else {
             int min_compute_capability = INT_MAX;
             for (int id = 0; id < g_device_count; ++id) {
-                if (min_compute_capability > g_compute_capabilities[id]) {
+                if (min_compute_capability > g_compute_capabilities[id]
+                        && g_tensor_split[id] < (id + 1 < g_device_count ? g_tensor_split[id + 1] : 1.0f)) {
                     min_compute_capability = g_compute_capabilities[id];
                 }
             }
@@ -5145,8 +5472,12 @@ void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) {
             row_low = id == 0 ? 0 : nrows*g_tensor_split[id];
             row_low -= row_low % GGML_CUDA_MMQ_Y;
 
-            row_high = id == g_device_count - 1 ? nrows : nrows*g_tensor_split[id + 1];
-            row_high -= row_high % GGML_CUDA_MMQ_Y;
+            if (id == g_device_count - 1) {
+                row_high = nrows;
+            } else {
+                row_high = nrows*g_tensor_split[id + 1];
+                row_high -= row_high % GGML_CUDA_MMQ_Y;
+            }
         } else {
             GGML_ASSERT(false);
         }
diff --git a/grammars/json.gbnf b/grammars/json.gbnf
index 40fa2b637..a9537cdf9 100644
--- a/grammars/json.gbnf
+++ b/grammars/json.gbnf
@@ -1,29 +1,25 @@
-# Grammar for subset of JSON - doesn't support full string or number syntax
-
-root  ::= object
-value ::= object | array | string | number | boolean | "null"
+root   ::= object
+value  ::= object | array | string | number | ("true" | "false" | "null") ws
 
 object ::=
   "{" ws (
             string ":" ws value
     ("," ws string ":" ws value)*
-  )? "}"
+  )? "}" ws
 
 array  ::=
   "[" ws (
             value
     ("," ws value)*
-  )? "]"
+  )? "]" ws
 
-string  ::=
+string ::=
   "\"" (
     [^"\\] |
     "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
   )* "\"" ws
 
-# Only plain integers currently
-number  ::= "-"? [0-9]+ ws
-boolean ::= ("true" | "false") ws
+number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
 
 # Optional space: by convention, applied in this grammar after literal chars when allowed
 ws ::= ([ \t\n] ws)?
diff --git a/llama-util.h b/llama-util.h
index 042ebe43c..3fc03ce28 100644
--- a/llama-util.h
+++ b/llama-util.h
@@ -149,6 +149,46 @@ struct llama_file {
     }
 };
 
+// llama_context_data
+struct llama_data_context {
+    virtual void write(const void * src, size_t size) = 0;
+    virtual size_t get_size_written() = 0;
+    virtual ~llama_data_context() = default;
+};
+
+struct llama_data_buffer_context : llama_data_context {
+    uint8_t* ptr;
+    size_t size_written = 0;
+
+    llama_data_buffer_context(uint8_t * p) : ptr(p) {}
+
+    void write(const void * src, size_t size) override {
+        memcpy(ptr, src, size);
+        ptr += size;
+        size_written += size;
+    }
+
+    size_t get_size_written() override {
+        return size_written;
+    }
+};
+
+struct llama_data_file_context : llama_data_context {
+    llama_file* file;
+    size_t size_written = 0;
+
+    llama_data_file_context(llama_file * f) : file(f) {}
+
+    void write(const void * src, size_t size) override {
+        file->write_raw(src, size);
+        size_written += size;
+    }
+
+    size_t get_size_written() override {
+        return size_written;
+    }
+};
+
 #if defined(_WIN32)
 static std::string llama_format_win_err(DWORD err) {
     LPSTR buf;
diff --git a/llama.cpp b/llama.cpp
index d427054dd..839739870 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -3743,10 +3743,20 @@ size_t llama_get_state_size(const struct llama_context * ctx) {
     return s_total;
 }
 
-// Copies the state to the specified destination address
-size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
-    uint8_t * out = dst;
-
+/** copy state data into either a buffer or file depending on the passed in context
+ *
+ * file context:
+ * llama_file file("/path", "wb");
+ * llama_data_file_context data_ctx(&file);
+ * llama_copy_state_data(ctx, &data_ctx);
+ *
+ * buffer context:
+ * std::vector<uint8_t> buf(max_size, 0);
+ * llama_data_buffer_context data_ctx(&buf.data());
+ * llama_copy_state_data(ctx, &data_ctx);
+ *
+*/
+void llama_copy_state_data_internal(struct llama_context * ctx, llama_data_context * data_ctx) {
     // copy rng
     {
         std::stringstream rng_ss;
@@ -3758,8 +3768,8 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
         memset(&rng_buf[0], 0, LLAMA_MAX_RNG_STATE);
         memcpy(&rng_buf[0], rng_ss.str().data(), rng_ss.str().size());
 
-        memcpy(out, &rng_size,   sizeof(rng_size));    out += sizeof(rng_size);
-        memcpy(out, &rng_buf[0], LLAMA_MAX_RNG_STATE); out += LLAMA_MAX_RNG_STATE;
+        data_ctx->write(&rng_size,   sizeof(rng_size));
+        data_ctx->write(&rng_buf[0], LLAMA_MAX_RNG_STATE);
     }
 
     // copy logits
@@ -3767,25 +3777,29 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
         const size_t logits_cap  = ctx->logits.capacity();
         const size_t logits_size = ctx->logits.size();
 
-        memcpy(out, &logits_cap,  sizeof(logits_cap));  out += sizeof(logits_cap);
-        memcpy(out, &logits_size, sizeof(logits_size)); out += sizeof(logits_size);
+        data_ctx->write(&logits_cap,  sizeof(logits_cap));
+        data_ctx->write(&logits_size, sizeof(logits_size));
 
         if (logits_size) {
-            memcpy(out, ctx->logits.data(), logits_size * sizeof(float));
+            data_ctx->write(ctx->logits.data(), logits_size * sizeof(float));
         }
 
-        out += logits_cap * sizeof(float);
+        // If there is a gap between the size and the capacity, write padding
+        size_t padding_size = (logits_cap - logits_size) * sizeof(float);
+        if (padding_size > 0) {
+            std::vector<uint8_t> padding(padding_size, 0); // Create a buffer filled with zeros
+            data_ctx->write(padding.data(), padding_size);
+        }
     }
 
     // copy embeddings
     {
         const size_t embedding_size = ctx->embedding.size();
 
-        memcpy(out, &embedding_size, sizeof(embedding_size)); out += sizeof(embedding_size);
+        data_ctx->write(&embedding_size, sizeof(embedding_size));
 
         if (embedding_size) {
-            memcpy(out, ctx->embedding.data(), embedding_size * sizeof(float));
-            out += embedding_size * sizeof(float);
+            data_ctx->write(ctx->embedding.data(), embedding_size * sizeof(float));
         }
     }
 
@@ -3800,8 +3814,8 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
         const size_t kv_size = kv_self.buf.size;
         const int    kv_ntok = llama_get_kv_cache_token_count(ctx);
 
-        memcpy(out, &kv_size, sizeof(kv_size)); out += sizeof(kv_size);
-        memcpy(out, &kv_ntok, sizeof(kv_ntok)); out += sizeof(kv_ntok);
+        data_ctx->write(&kv_size, sizeof(kv_size));
+        data_ctx->write(&kv_ntok, sizeof(kv_ntok));
 
         if (kv_size) {
             const size_t elt_size = ggml_element_size(kv_self.k);
@@ -3810,12 +3824,12 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
             ggml_cgraph gf{};
 
             ggml_tensor * kout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.k->type, n_embd, kv_ntok, n_layer);
-            kout3d->data = out;
-            out += ggml_nbytes(kout3d);
+            std::vector<uint8_t> kout3d_data(ggml_nbytes(kout3d), 0);
+            kout3d->data = kout3d_data.data();
 
             ggml_tensor * vout3d = ggml_new_tensor_3d(cpy_ctx, kv_self.v->type, kv_ntok, n_embd, n_layer);
-            vout3d->data = out;
-            out += ggml_nbytes(vout3d);
+            std::vector<uint8_t> vout3d_data(ggml_nbytes(vout3d), 0);
+            vout3d->data = vout3d_data.data();
 
             ggml_tensor * k3d = ggml_view_3d(cpy_ctx, kv_self.k,
                 n_embd, kv_ntok, n_layer,
@@ -3830,15 +3844,20 @@ size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
             ggml_graph_compute_helper(ctx->work_buffer, &gf, /*n_threads*/ 1);
 
             ggml_free(cpy_ctx);
+
+            // our data is now in the kout3d_data and vout3d_data buffers
+            // write them to file
+            data_ctx->write(kout3d_data.data(), kout3d_data.size());
+            data_ctx->write(vout3d_data.data(), vout3d_data.size());
         }
     }
+}
 
-    const size_t written  = out - dst;
-    const size_t max_size = llama_get_state_size(ctx);
+size_t llama_copy_state_data(struct llama_context * ctx, uint8_t * dst) {
+    llama_data_buffer_context data_ctx(dst);
+    llama_copy_state_data_internal(ctx, &data_ctx);
 
-    LLAMA_ASSERT(written <= max_size);
-
-    return written;
+    return data_ctx.get_size_written();
 }
 
 // Sets the state reading from the specified source address
@@ -4023,15 +4042,9 @@ bool llama_save_session_file(struct llama_context * ctx, const char * path_sessi
     file.write_u32((uint32_t) n_token_count);
     file.write_raw(tokens, sizeof(llama_token) * n_token_count);
 
-    // save the context state
-    {
-        const size_t n_state_size_max = llama_get_state_size(ctx);
-
-        std::vector<uint8_t> state_data(n_state_size_max);
-        const size_t n_state_size_cur = llama_copy_state_data(ctx, state_data.data());
-
-        file.write_raw(state_data.data(), n_state_size_cur);
-    }
+    // save the context state using stream saving
+    llama_data_file_context data_ctx(&file);
+    llama_copy_state_data_internal(ctx, &data_ctx);
 
     return true;
 }
diff --git a/scripts/sync-ggml.sh b/scripts/sync-ggml.sh
index 02ea6ec15..3d13e852a 100755
--- a/scripts/sync-ggml.sh
+++ b/scripts/sync-ggml.sh
@@ -10,5 +10,5 @@ cp -rpv ../ggml/src/ggml-metal.m     ./ggml-metal.m
 cp -rpv ../ggml/src/ggml-metal.metal ./ggml-metal.metal
 cp -rpv ../ggml/include/ggml/ggml.h  ./ggml.h
 
-cp -rpv ../ggml/tests/test-opt.c    ./tests/test-opt.c
-cp -rpv ../ggml/tests/test-grad0.c  ./tests/test-grad0.c
+cp -rpv ../ggml/tests/test-opt.cpp    ./tests/test-opt.cpp
+cp -rpv ../ggml/tests/test-grad0.cpp  ./tests/test-grad0.cpp
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 11ec6c725..1a40edbec 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -6,10 +6,10 @@ function(llama_add_test source)
     add_test(NAME ${TEST_TARGET} COMMAND $<TARGET_FILE:${TEST_TARGET}> ${ARGN})
 endfunction()
 
-# llama_add_test(test-double-float.c) # SLOW
+# llama_add_test(test-double-float.cpp) # SLOW
 llama_add_test(test-quantize-fns.cpp)
 llama_add_test(test-quantize-perf.cpp)
 llama_add_test(test-sampling.cpp)
 llama_add_test(test-tokenizer-0.cpp ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab.bin)
-llama_add_test(test-grad0.c) # SLOW
-# llama_add_test(test-opt.c) # SLOW
+llama_add_test(test-grad0.cpp) # SLOW
+# llama_add_test(test-opt.cpp) # SLOW
diff --git a/tests/test-double-float.c b/tests/test-double-float.cpp
similarity index 88%
rename from tests/test-double-float.c
rename to tests/test-double-float.cpp
index 89dafc9f2..b506f273f 100644
--- a/tests/test-double-float.c
+++ b/tests/test-double-float.cpp
@@ -3,10 +3,11 @@
 // This is done by checking all finite (non-NaN, non-infinite) floats.
 
 #undef NDEBUG
-#include <assert.h>
+#include <cassert>
 #include <immintrin.h>
-#include <math.h>
-#include <stdint.h>
+#include <cmath>
+#include <cstdint>
+#include <cstring>
 
 #pragma GCC diagnostic push
 #pragma GCC diagnostic ignored "-Wdouble-promotion"
@@ -32,8 +33,9 @@ inline static float silu_float(float x) {
 int main(void) {
     uint32_t x = UINT32_MAX;
     do {
-        float f = *(float *)&x;
-        assert(!isfinite(f) || (round_orig(f) == round_float(f)));
+        float f;
+        memcpy(&f, &x, sizeof(x));
+        assert(!std::isfinite(f) || (round_orig(f) == round_float(f)));
     } while (x--);
 
 #ifdef __F16C__
diff --git a/tests/test-grad0.c b/tests/test-grad0.cpp
similarity index 98%
rename from tests/test-grad0.c
rename to tests/test-grad0.cpp
index 6d312216d..75a698d73 100644
--- a/tests/test-grad0.c
+++ b/tests/test-grad0.cpp
@@ -1,10 +1,10 @@
 #define _CRT_SECURE_NO_DEPRECATE // Disables ridiculous "unsafe" warnigns on Windows
 #include "ggml.h"
 
-#include <math.h>
-#include <stdio.h>
-#include <stdlib.h>
-#include <assert.h>
+#include <cmath>
+#include <cstdio>
+#include <cstdlib>
+#include <cassert>
 
 #if defined(_MSC_VER)
 #pragma warning(disable: 4244 4267) // possible loss of data
@@ -47,16 +47,16 @@
 
 #define GGML_PRINT(...) printf(__VA_ARGS__)
 
-float frand(void) {
+static float frand(void) {
     return (float)rand()/(float)RAND_MAX;
 }
 
-int irand(int n) {
+static int irand(int n) {
     if (n == 0) return 0;
     return rand()%n;
 }
 
-void get_random_dims(int64_t * dims, int ndims) {
+static void get_random_dims(int64_t * dims, int ndims) {
     dims[0] = dims[1] = dims[2] = dims[3] = 1;
 
     for (int i = 0; i < ndims; i++) {
@@ -64,7 +64,7 @@ void get_random_dims(int64_t * dims, int ndims) {
     }
 }
 
-struct ggml_tensor * get_random_tensor_f32(
+static struct ggml_tensor * get_random_tensor_f32(
         struct ggml_context * ctx0,
         int ndims,
         int64_t ne[],
@@ -112,7 +112,7 @@ struct ggml_tensor * get_random_tensor_f32(
     return result;
 }
 
-struct ggml_tensor * get_random_tensor_f16(
+static struct ggml_tensor * get_random_tensor_f16(
         struct ggml_context * ctx0,
         int ndims,
         int64_t ne[],
@@ -160,7 +160,7 @@ struct ggml_tensor * get_random_tensor_f16(
     return result;
 }
 
-struct ggml_tensor * get_random_tensor_i32(
+static struct ggml_tensor * get_random_tensor_i32(
         struct ggml_context * ctx0,
         int ndims,
         int64_t ne[],
@@ -208,7 +208,7 @@ struct ggml_tensor * get_random_tensor_i32(
     return result;
 }
 
-void print_elements(const char* label, const struct ggml_tensor * t) {
+static void print_elements(const char* label, const struct ggml_tensor * t) {
     if (!t) {
         printf("%s: %s = null\n", __func__, label);
         return;
@@ -228,7 +228,7 @@ void print_elements(const char* label, const struct ggml_tensor * t) {
 
 }
 
-bool check_gradient(
+static bool check_gradient(
         const char * op_name,
         struct ggml_context * ctx0,
         struct ggml_tensor * x[],
@@ -310,7 +310,7 @@ bool check_gradient(
 }
 
 // TODO: clean-up this ..
-bool check_mat_mul(
+static bool check_mat_mul(
         const struct ggml_tensor * y,
         const struct ggml_tensor * x0,
         const struct ggml_tensor * x1) {
@@ -373,9 +373,9 @@ bool check_mat_mul(
 
 int main(int argc, const char ** argv) {
     struct ggml_init_params params = {
-        .mem_size   = 128*1024*1024,
-        .mem_buffer = NULL,
-        .no_alloc   = false,
+        /* .mem_size   = */ 128*1024*1024,
+        /* .mem_buffer = */ NULL,
+        /* .no_alloc   = */ false,
     };
 
     int64_t ne[4];
diff --git a/tests/test-opt.c b/tests/test-opt.cpp
similarity index 96%
rename from tests/test-opt.c
rename to tests/test-opt.cpp
index 4eef62bcf..8ab240202 100644
--- a/tests/test-opt.c
+++ b/tests/test-opt.cpp
@@ -1,9 +1,9 @@
 #include "ggml.h"
 
-#include <math.h>
-#include <stdio.h>
-#include <stdlib.h>
-#include <assert.h>
+#include <cmath>
+#include <cstdio>
+#include <cstdlib>
+#include <cassert>
 
 #define MAX_NARGS 2
 
@@ -119,10 +119,11 @@ void set_element(struct ggml_tensor * t, int idx, float value) {
 
 int main(void) {
     struct ggml_init_params params = {
-        .mem_size   = 1024*1024*1024,
-        .mem_buffer = NULL,
-        .no_alloc   = false,
+        /* .mem_size   = */ 1024*1024*1024,
+        /* .mem_buffer = */ NULL,
+        /* .no_alloc   = */ false,
     };
+
     struct ggml_context * ctx = ggml_init(params);
 
     int64_t ne1[4] = {4, 128, 1, 1};