cli : auto activate conversation mode if chat template is detected
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1244cdcf14
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3 changed files with 47 additions and 19 deletions
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@ -768,15 +768,19 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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).set_examples({LLAMA_EXAMPLE_MAIN, LLAMA_EXAMPLE_SERVER}));
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add_opt(common_arg(
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{"-cnv", "--conversation"},
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string_format(
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"run in conversation mode:\n"
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"- does not print special tokens and suffix/prefix\n"
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"- interactive mode is also enabled\n"
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"(default: %s)",
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params.conversation ? "true" : "false"
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),
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"(default: auto enabled if chat template is available)",
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[](common_params & params) {
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params.conversation = true;
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params.conversation_mode = COMMON_CONVERSATION_MODE_ENABLED;
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}
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).set_examples({LLAMA_EXAMPLE_MAIN}));
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add_opt(common_arg(
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{"-no-cnv", "--no-conversation"},
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"force disable conversation mode (default: false)",
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[](common_params & params) {
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params.conversation_mode = COMMON_CONVERSATION_MODE_DISABLED;
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}
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).set_examples({LLAMA_EXAMPLE_MAIN}));
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add_opt(common_arg(
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@ -103,6 +103,12 @@ enum dimre_method {
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DIMRE_METHOD_MEAN,
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};
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enum common_conversation_mode {
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COMMON_CONVERSATION_MODE_DISABLED = 0,
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COMMON_CONVERSATION_MODE_ENABLED = 1,
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COMMON_CONVERSATION_MODE_AUTO = 2,
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};
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// sampling parameters
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struct common_params_sampling {
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uint32_t seed = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampler
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@ -275,7 +281,6 @@ struct common_params {
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bool special = false; // enable special token output
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bool interactive = false; // interactive mode
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bool interactive_first = false; // wait for user input immediately
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bool conversation = false; // conversation mode (does not print special tokens and suffix/prefix)
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bool prompt_cache_all = false; // save user input and generations to prompt cache
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bool prompt_cache_ro = false; // open the prompt cache read-only and do not update it
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@ -301,6 +306,8 @@ struct common_params {
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ggml_type cache_type_k = GGML_TYPE_F16; // KV cache data type for the K
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ggml_type cache_type_v = GGML_TYPE_F16; // KV cache data type for the V
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common_conversation_mode conversation_mode = COMMON_CONVERSATION_MODE_AUTO;
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// multimodal models (see examples/llava)
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std::string mmproj = ""; // path to multimodal projector // NOLINT
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std::vector<std::string> image; // path to image file(s)
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@ -30,6 +30,8 @@
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#pragma warning(disable: 4244 4267) // possible loss of data
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#endif
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static const char * DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant";
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static llama_context ** g_ctx;
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static llama_model ** g_model;
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static common_sampler ** g_smpl;
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@ -204,8 +206,17 @@ int main(int argc, char ** argv) {
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LOG_WRN("%s: model was trained on only %d context tokens (%d specified)\n", __func__, n_ctx_train, n_ctx);
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}
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// auto enable conversation mode if chat template is available
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if (
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params.conversation_mode == COMMON_CONVERSATION_MODE_AUTO
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&& (!common_get_builtin_chat_template(model).empty() || !params.chat_template.empty())
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) {
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LOG_INF("%s: chat template is available, enabling conversation mode (disable it with -no-cnv)\n", __func__);
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params.conversation_mode = COMMON_CONVERSATION_MODE_ENABLED;
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}
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// print chat template example in conversation mode
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if (params.conversation) {
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if (params.conversation_mode) {
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if (params.enable_chat_template) {
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LOG_INF("%s: chat template example:\n%s\n", __func__, common_chat_format_example(model, params.chat_template).c_str());
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} else {
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@ -252,8 +263,10 @@ int main(int argc, char ** argv) {
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std::vector<llama_token> embd_inp;
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{
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auto prompt = (params.conversation && params.enable_chat_template && !params.prompt.empty())
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? chat_add_and_format(model, chat_msgs, "system", params.prompt) // format the system prompt in conversation mode
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auto prompt = (params.conversation_mode && params.enable_chat_template)
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// format the system prompt in conversation mode (fallback to default if empty)
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? chat_add_and_format(model, chat_msgs, "system", params.prompt.empty() ? DEFAULT_SYSTEM_MESSAGE : params.prompt)
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// otherwise use the prompt as is
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: params.prompt;
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if (params.interactive_first || !params.prompt.empty() || session_tokens.empty()) {
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LOG_DBG("tokenize the prompt\n");
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@ -327,7 +340,7 @@ int main(int argc, char ** argv) {
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params.n_keep += add_bos; // always keep the BOS token
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}
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if (params.conversation) {
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if (params.conversation_mode) {
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params.interactive_first = true;
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}
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@ -451,7 +464,11 @@ int main(int argc, char ** argv) {
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#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
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LOG_INF( " - Press Ctrl+C to interject at any time.\n");
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#endif
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LOG_INF( "%s\n", control_message);
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LOG_INF( "%s", control_message);
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if (params.conversation_mode && params.enable_chat_template && params.prompt.empty()) {
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LOG_INF( " - Using default system message. To change it, set a different value via -p PROMPT or -f FILE argument.\n");
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}
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LOG_INF("\n");
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is_interacting = params.interactive_first;
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}
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@ -763,7 +780,7 @@ int main(int argc, char ** argv) {
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}
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// if current token is not EOG, we add it to current assistant message
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if (params.conversation) {
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if (params.conversation_mode) {
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const auto id = common_sampler_last(smpl);
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assistant_ss << common_token_to_piece(ctx, id, false);
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}
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@ -771,7 +788,7 @@ int main(int argc, char ** argv) {
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if (n_past > 0 && is_interacting) {
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LOG_DBG("waiting for user input\n");
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if (params.conversation) {
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if (params.conversation_mode) {
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LOG("\n> ");
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}
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@ -781,7 +798,7 @@ int main(int argc, char ** argv) {
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}
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std::string buffer;
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if (!params.input_prefix.empty() && !params.conversation) {
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if (!params.input_prefix.empty() && !params.conversation_mode) {
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LOG_DBG("appending input prefix: '%s'\n", params.input_prefix.c_str());
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LOG("%s", params.input_prefix.c_str());
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}
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@ -805,7 +822,7 @@ int main(int argc, char ** argv) {
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// Entering a empty line lets the user pass control back
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if (buffer.length() > 1) {
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// append input suffix if any
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if (!params.input_suffix.empty() && !params.conversation) {
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if (!params.input_suffix.empty() && !params.conversation_mode) {
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LOG_DBG("appending input suffix: '%s'\n", params.input_suffix.c_str());
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LOG("%s", params.input_suffix.c_str());
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}
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@ -818,7 +835,7 @@ int main(int argc, char ** argv) {
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string_process_escapes(buffer);
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}
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bool format_chat = params.conversation && params.enable_chat_template;
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bool format_chat = params.conversation_mode && params.enable_chat_template;
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std::string user_inp = format_chat
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? chat_add_and_format(model, chat_msgs, "user", std::move(buffer))
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: std::move(buffer);
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