ggml : add Q5_0 quantization (cuBLAS only)
This commit is contained in:
Georgi Gerganov
parent
859fee6dfb
commit
5bebc0a6e2
7 changed files with 327 additions and 6 deletions
1
.gitignore
vendored
1
.gitignore
vendored
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@ -15,6 +15,7 @@ build-em/
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build-debug/
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build-release/
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build-static/
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build-cublas/
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build-no-accel/
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build-sanitize-addr/
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build-sanitize-thread/
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43
ggml-cuda.cu
43
ggml-cuda.cu
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@ -37,6 +37,15 @@ typedef struct {
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} block_q4_3;
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static_assert(sizeof(block_q4_3) == 2 * sizeof(ggml_fp16_t) + QK4_3 / 2, "wrong q4_3 block size/padding");
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#define QK5_0 32
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typedef struct {
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__half d; // delta
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__half m; // min
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int32_t qh; // 5-th bit of quants
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uint8_t qs[QK5_0 / 2]; // nibbles / quants
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} block_q5_0;
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static_assert(sizeof(block_q5_0) == 2 * sizeof(ggml_fp16_t) + sizeof(int32_t) + QK5_0 / 2, "wrong q5_0 block size/padding");
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#define QK8_0 32
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typedef struct {
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float d; // delta
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@ -138,6 +147,35 @@ static __global__ void dequantize_block_q4_3(const void * vx, float * y) {
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}
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}
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static __global__ void dequantize_block_q5_0(const void * vx, float * y) {
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const block_q5_0 * x = (const block_q5_0 *) vx;
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const int i = blockIdx.x;
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const float d = x[i].d;
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const float m = x[i].m;
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const uint8_t * pp = x[i].qs;
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const uint32_t qh = x[i].qh;
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for (int l = 0; l < QK5_0; l += 2) {
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const uint8_t vi = pp[l/2];
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const int8_t vh0 = ((qh & (1 << (l + 0))) >> (l + 0)) << 4;
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const int8_t vh1 = ((qh & (1 << (l + 1))) >> (l + 1)) << 4;
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const int8_t vi0 = (vi & 0xf) | vh0;
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const int8_t vi1 = (vi >> 4) | vh1;
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const float v0 = vi0*d + m;
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const float v1 = vi1*d + m;
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y[i*QK5_0 + l + 0] = v0;
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y[i*QK5_0 + l + 1] = v1;
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}
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}
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static __global__ void dequantize_block_q8_0(const void * vx, float * y) {
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const block_q8_0 * x = (const block_q8_0 *) vx;
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@ -174,6 +212,11 @@ void dequantize_row_q4_3_cuda(const void * vx, float * y, int k, cudaStream_t st
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dequantize_block_q4_3<<<nb, 1, 0, stream>>>(vx, y);
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}
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void dequantize_row_q5_0_cuda(const void * vx, float * y, int k, cudaStream_t stream) {
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const int nb = k / QK5_0;
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dequantize_block_q5_0<<<nb, 1, 0, stream>>>(vx, y);
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}
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void dequantize_row_q8_0_cuda(const void * vx, float * y, int k, cudaStream_t stream) {
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const int nb = k / QK8_0;
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dequantize_block_q8_0<<<nb, 1, 0, stream>>>(vx, y);
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@ -35,6 +35,7 @@ void dequantize_row_q4_0_cuda(const void * vx, float * y, int k, cudaStream_t st
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void dequantize_row_q4_1_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q4_2_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q4_3_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q5_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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void dequantize_row_q8_0_cuda(const void * vx, float * y, int k, cudaStream_t stream);
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#ifdef __cplusplus
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277
ggml.c
277
ggml.c
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@ -673,6 +673,15 @@ typedef struct {
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} block_q4_3;
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static_assert(sizeof(block_q4_3) == 2 * sizeof(ggml_fp16_t) + QK4_3 / 2, "wrong q4_3 block size/padding");
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#define QK5_0 32
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typedef struct {
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ggml_fp16_t d; // delta
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ggml_fp16_t m; // min
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int32_t qh; // 5-th bit of quants
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uint8_t qs[QK5_0 / 2]; // nibbles / quants
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} block_q5_0;
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static_assert(sizeof(block_q5_0) == 2 * sizeof(ggml_fp16_t) + sizeof(int32_t) + QK5_0 / 2, "wrong q5_0 block size/padding");
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#define QK8_0 32
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typedef struct {
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float d; // delta
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@ -1288,6 +1297,50 @@ static void quantize_row_q4_3(const float * restrict x, void * restrict vy, int
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quantize_row_q4_3_reference(x, y, k);
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}
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static void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict y, int k) {
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assert(k % QK5_0 == 0);
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const int nb = k / QK5_0;
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for (int i = 0; i < nb; i++) {
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float min = FLT_MAX;
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float max = -FLT_MAX;
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for (int l = 0; l < QK5_0; l++) {
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const float v = x[i*QK5_0 + l];
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if (v < min) min = v;
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if (v > max) max = v;
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}
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const float d = (max - min) / ((1 << 5) - 1);
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const float id = d ? 1.0f/d : 0.0f;
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y[i].d = GGML_FP32_TO_FP16(d);
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y[i].m = GGML_FP32_TO_FP16(min);
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y[i].qh = 0;
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for (int l = 0; l < QK5_0; l += 2) {
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const float v0 = (x[i*QK5_0 + l + 0] - min)*id;
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const float v1 = (x[i*QK5_0 + l + 1] - min)*id;
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const uint32_t vi0 = (int) (v0 + 0.5f);
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const uint32_t vi1 = (int) (v1 + 0.5f);
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y[i].qs[l/2] = (vi0 & 0x0F) | ((vi1 & 0x0F) << 4);
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y[i].qh |= ((vi0 & 0x10) >> 4) << (l + 0);
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y[i].qh |= ((vi1 & 0x10) >> 4) << (l + 1);
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}
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}
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}
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static void quantize_row_q5_0(const float * restrict x, void * restrict vy, int k) {
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assert(k % QK5_0 == 0);
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block_q5_0 * restrict y = vy;
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quantize_row_q5_0_reference(x, y, k);
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}
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// reference implementation for deterministic creation of model files
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static void quantize_row_q8_0_reference(const float * restrict x, block_q8_0 * restrict y, int k) {
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assert(k % QK8_0 == 0);
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@ -1804,6 +1857,41 @@ static void dequantize_row_q4_3(const void * restrict vx, float * restrict y, in
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}
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}
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static void dequantize_row_q5_0(const void * restrict vx, float * restrict y, int k) {
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assert(k % QK5_0 == 0);
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const int nb = k / QK5_0;
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const block_q5_0 * restrict x = vx;
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for (int i = 0; i < nb; i++) {
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const float d = GGML_FP16_TO_FP32(x[i].d);
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const float m = GGML_FP16_TO_FP32(x[i].m);
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const uint8_t * restrict pp = x[i].qs;
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const uint32_t qh = x[i].qh;
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for (int l = 0; l < QK5_0; l += 2) {
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const uint8_t vi = pp[l/2];
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const int8_t vh0 = ((qh & (1 << (l + 0))) >> (l + 0)) << 4;
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const int8_t vh1 = ((qh & (1 << (l + 1))) >> (l + 1)) << 4;
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const int8_t vi0 = (vi & 0xf) | vh0;
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const int8_t vi1 = (vi >> 4) | vh1;
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const float v0 = vi0*d + m;
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const float v1 = vi1*d + m;
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y[i*QK5_0 + l + 0] = v0;
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y[i*QK5_0 + l + 1] = v1;
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assert(!isnan(y[i*QK5_0 + l + 0]));
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assert(!isnan(y[i*QK5_0 + l + 1]));
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}
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}
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}
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static void dequantize_row_q8_0(const void * restrict vx, float * restrict y, int k) {
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assert(k % QK8_0 == 0);
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const int nb = k / QK8_0;
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@ -1825,6 +1913,7 @@ static void ggml_vec_dot_q4_0_q8_0(const int n, float * restrict s, const void *
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static void ggml_vec_dot_q4_1_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_2_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q4_3_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q5_0_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy);
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static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
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@ -1860,6 +1949,14 @@ static const quantize_fns_t quantize_fns[GGML_TYPE_COUNT] = {
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.vec_dot_q = ggml_vec_dot_q4_3_q8_1,
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.vec_dot_type = GGML_TYPE_Q8_1,
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},
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[GGML_TYPE_Q5_0] = {
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.dequantize_row_q = dequantize_row_q5_0,
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.quantize_row_q = quantize_row_q5_0,
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.quantize_row_q_reference = (quantize_row_q_t) quantize_row_q5_0_reference,
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.quantize_row_q_dot = quantize_row_q8_1,
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.vec_dot_q = ggml_vec_dot_q5_0_q8_1,
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.vec_dot_type = GGML_TYPE_Q8_1,
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},
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[GGML_TYPE_Q8_0] = {
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.dequantize_row_q = dequantize_row_q8_0,
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.quantize_row_q = quantize_row_q8_0,
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@ -3067,6 +3164,138 @@ static void ggml_vec_dot_q4_3_q8_1(const int n, float * restrict s, const void *
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#endif
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}
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static void ggml_vec_dot_q5_0_q8_1(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
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GGML_ASSERT(false); // TODO xxxxxxxxx
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const int nb = n / QK8_1;
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assert(n % QK8_1 == 0);
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assert(nb % 2 == 0);
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assert(QK8_1 == 2*QK5_0);
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const block_q5_0 * restrict x = vx;
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const block_q8_1 * restrict y = vy;
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#if defined(__ARM_NEON)
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float32x4_t sumv0 = vdupq_n_f32(0.0f);
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float32x4_t sumv1 = vdupq_n_f32(0.0f);
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float summs0 = 0.0f;
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float summs1 = 0.0f;
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for (int i = 0; i < nb; ++i) {
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const block_q5_0 * restrict x0_0 = &x[2*(i + 0) + 0];
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const block_q5_0 * restrict x0_1 = &x[2*(i + 0) + 1];
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const block_q8_1 * restrict y0 = &y[i + 0];
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summs0 += GGML_FP16_TO_FP32(x0_0->m) * y0->s0;
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summs1 += GGML_FP16_TO_FP32(x0_1->m) * y0->s1;
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const uint8x16_t v0_0 = vcombine_u8(vld1_u8(x0_0->qs), vld1_u8(x0_1->qs));
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// 4-bit -> 8-bit
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const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, vdupq_n_u8(0xf)));
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const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
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// interleave
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const int8x16_t v0_0lz = vzip1q_s8(v0_0l, v0_0h);
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const int8x16_t v0_0hz = vzip2q_s8(v0_0l, v0_0h);
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// load y
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const int8x16_t v1_0l = vld1q_s8(y0->qs);
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const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
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const float x0_0d = GGML_FP16_TO_FP32(x0_0->d);
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const float x0_1d = GGML_FP16_TO_FP32(x0_1->d);
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#if defined(__ARM_FEATURE_DOTPROD)
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sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vdotq_s32(vdupq_n_s32(0), v0_0lz, v1_0l)), x0_0d*y0->d);
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sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vdotq_s32(vdupq_n_s32(0), v0_0hz, v1_0h)), x0_1d*y0->d);
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#else
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const int16x8_t pl0l = vmull_s8(vget_low_s8 (v0_0lz), vget_low_s8 (v1_0l));
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const int16x8_t pl0h = vmull_s8(vget_high_s8(v0_0lz), vget_high_s8(v1_0l));
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const int16x8_t ph0l = vmull_s8(vget_low_s8 (v0_0hz), vget_low_s8 (v1_0h));
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const int16x8_t ph0h = vmull_s8(vget_high_s8(v0_0hz), vget_high_s8(v1_0h));
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const int32x4_t pl0 = vaddq_s32(vpaddlq_s16(pl0l), vpaddlq_s16(pl0h));
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const int32x4_t ph0 = vaddq_s32(vpaddlq_s16(ph0l), vpaddlq_s16(ph0h));
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sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(pl0), x0_0d*y0->d);
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sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(ph0), x0_1d*y0->d);
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#endif
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}
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*s = vaddvq_f32(vaddq_f32(sumv0, sumv1)) + summs0 + summs1;
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#elif defined(__AVX2__)
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// Initialize accumulator with zeros
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__m256 acc = _mm256_setzero_ps();
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float summs = 0.0f;
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// Main loop
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for (int i = 0; i < nb; i++) {
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const __m128 d0 = _mm_set1_ps(GGML_FP16_TO_FP32(x[2*i + 0].d));
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const __m128 d1 = _mm_set1_ps(GGML_FP16_TO_FP32(x[2*i + 1].d));
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const __m256 dx = _mm256_set_m128(d1, d0);
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summs += GGML_FP16_TO_FP32(x[2*i + 0].m) * y[i].s0
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+ GGML_FP16_TO_FP32(x[2*i + 1].m) * y[i].s1;
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const __m128i bx0 = bytes_from_nibbles_16(x[2*i + 0].qs);
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const __m128i bx1 = bytes_from_nibbles_16(x[2*i + 1].qs);
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const __m256i bx = _mm256_set_m128i(bx1, bx0);
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const __m256 dy = _mm256_broadcast_ss(&y[i].d);
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const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs);
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const __m256 q = mul_sum_i8_pairs_float(bx, by);
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acc = _mm256_fmadd_ps(q, _mm256_mul_ps(dx, dy), acc);
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}
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*s = hsum_float_8(acc) + summs;
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#else
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// scalar
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float sumf = 0.0;
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for (int i = 0; i < nb; i++) {
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const uint8_t * restrict x0 = x[2*i + 0].qs;
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const uint8_t * restrict x1 = x[2*i + 1].qs;
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const int8_t * restrict y0 = y[i].qs;
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const float d0 = GGML_FP16_TO_FP32(x[2*i + 0].d);
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const float m0 = GGML_FP16_TO_FP32(x[2*i + 0].m);
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const float d1 = GGML_FP16_TO_FP32(x[2*i + 1].d);
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const float m1 = GGML_FP16_TO_FP32(x[2*i + 1].m);
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int sxy_0 = 0;
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int sxy_1 = 0;
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for (int j = 0; j < QK8_1/4; j++) {
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const uint8_t v0 = x0[j];
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const uint8_t v1 = x1[j];
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const int x0_0 = v0 & 0xf;
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const int x1_0 = v0 >> 4;
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const int x0_1 = v1 & 0xf;
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const int x1_1 = v1 >> 4;
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const int y0_0 = y0[2*j + 0];
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const int y1_0 = y0[2*j + 1];
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const int y0_1 = y0[2*(j + QK8_1/4) + 0];
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const int y1_1 = y0[2*(j + QK8_1/4) + 1];
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sxy_0 += x0_0*y0_0 + x1_0*y1_0;
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sxy_1 += x0_1*y0_1 + x1_1*y1_1;
|
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}
|
||||
|
||||
sumf += (d0*sxy_0 + d1*sxy_1)*y[i].d + m0*y[i].s0 + m1*y[i].s1;
|
||||
}
|
||||
*s = sumf;
|
||||
#endif
|
||||
}
|
||||
|
||||
static void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) {
|
||||
const int nb = n / QK8_0;
|
||||
|
||||
|
|
@ -3409,13 +3638,14 @@ static const int GGML_BLCK_SIZE[GGML_TYPE_COUNT] = {
|
|||
[GGML_TYPE_Q4_1] = QK4_1,
|
||||
[GGML_TYPE_Q4_2] = QK4_2,
|
||||
[GGML_TYPE_Q4_3] = QK4_3,
|
||||
[GGML_TYPE_Q5_0] = QK5_0,
|
||||
[GGML_TYPE_Q8_0] = QK8_0,
|
||||
[GGML_TYPE_Q8_1] = QK8_1,
|
||||
[GGML_TYPE_I8] = 1,
|
||||
[GGML_TYPE_I16] = 1,
|
||||
[GGML_TYPE_I32] = 1,
|
||||
};
|
||||
static_assert(GGML_TYPE_COUNT == 11, "GGML_BLCK_SIZE is outdated");
|
||||
static_assert(GGML_TYPE_COUNT == 12, "GGML_BLCK_SIZE is outdated");
|
||||
|
||||
static const size_t GGML_TYPE_SIZE[GGML_TYPE_COUNT] = {
|
||||
[GGML_TYPE_F32] = sizeof(float),
|
||||
|
|
@ -3424,13 +3654,14 @@ static const size_t GGML_TYPE_SIZE[GGML_TYPE_COUNT] = {
|
|||
[GGML_TYPE_Q4_1] = sizeof(block_q4_1),
|
||||
[GGML_TYPE_Q4_2] = sizeof(block_q4_2),
|
||||
[GGML_TYPE_Q4_3] = sizeof(block_q4_3),
|
||||
[GGML_TYPE_Q5_0] = sizeof(block_q5_0),
|
||||
[GGML_TYPE_Q8_0] = sizeof(block_q8_0),
|
||||
[GGML_TYPE_Q8_1] = sizeof(block_q8_1),
|
||||
[GGML_TYPE_I8] = sizeof(int8_t),
|
||||
[GGML_TYPE_I16] = sizeof(int16_t),
|
||||
[GGML_TYPE_I32] = sizeof(int32_t),
|
||||
};
|
||||
static_assert(GGML_TYPE_COUNT == 11, "GGML_TYPE_SIZE is outdated");
|
||||
static_assert(GGML_TYPE_COUNT == 12, "GGML_TYPE_SIZE is outdated");
|
||||
|
||||
|
||||
static const char * GGML_TYPE_NAME[GGML_TYPE_COUNT] = {
|
||||
|
|
@ -3440,13 +3671,14 @@ static const char * GGML_TYPE_NAME[GGML_TYPE_COUNT] = {
|
|||
[GGML_TYPE_Q4_1] = "q4_1",
|
||||
[GGML_TYPE_Q4_2] = "q4_2",
|
||||
[GGML_TYPE_Q4_3] = "q4_3",
|
||||
[GGML_TYPE_Q5_0] = "q5_0",
|
||||
[GGML_TYPE_Q8_0] = "q8_0",
|
||||
[GGML_TYPE_Q8_1] = "q8_1",
|
||||
[GGML_TYPE_I8] = "i8",
|
||||
[GGML_TYPE_I16] = "i16",
|
||||
[GGML_TYPE_I32] = "i32",
|
||||
};
|
||||
static_assert(GGML_TYPE_COUNT == 11, "GGML_TYPE_NAME is outdated");
|
||||
static_assert(GGML_TYPE_COUNT == 12, "GGML_TYPE_NAME is outdated");
|
||||
|
||||
static bool GGML_IS_QUANTIZED[GGML_TYPE_COUNT] = {
|
||||
[GGML_TYPE_F32] = false,
|
||||
|
|
@ -3455,13 +3687,14 @@ static bool GGML_IS_QUANTIZED[GGML_TYPE_COUNT] = {
|
|||
[GGML_TYPE_Q4_1] = true,
|
||||
[GGML_TYPE_Q4_2] = true,
|
||||
[GGML_TYPE_Q4_3] = true,
|
||||
[GGML_TYPE_Q5_0] = true,
|
||||
[GGML_TYPE_Q8_0] = true,
|
||||
[GGML_TYPE_Q8_1] = true,
|
||||
[GGML_TYPE_I8] = false,
|
||||
[GGML_TYPE_I16] = false,
|
||||
[GGML_TYPE_I32] = false,
|
||||
};
|
||||
static_assert(GGML_TYPE_COUNT == 11, "GGML_IS_QUANTIZED is outdated");
|
||||
static_assert(GGML_TYPE_COUNT == 12, "GGML_IS_QUANTIZED is outdated");
|
||||
|
||||
static const char * GGML_OP_LABEL[GGML_OP_COUNT] = {
|
||||
"NONE",
|
||||
|
|
@ -6673,6 +6906,7 @@ static void ggml_compute_forward_add(
|
|||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q4_2:
|
||||
case GGML_TYPE_Q4_3:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
{
|
||||
ggml_compute_forward_add_q_f32(params, src0, src1, dst);
|
||||
|
|
@ -8161,6 +8395,9 @@ static void ggml_compute_forward_mul_mat_q_f32(
|
|||
else if (type == GGML_TYPE_Q4_3) {
|
||||
dequantize_row_q_cuda = dequantize_row_q4_3_cuda;
|
||||
}
|
||||
else if (type == GGML_TYPE_Q5_0) {
|
||||
dequantize_row_q_cuda = dequantize_row_q5_0_cuda;
|
||||
}
|
||||
else if (type == GGML_TYPE_Q8_0) {
|
||||
dequantize_row_q_cuda = dequantize_row_q8_0_cuda;
|
||||
}
|
||||
|
|
@ -8319,6 +8556,7 @@ static void ggml_compute_forward_mul_mat(
|
|||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q4_2:
|
||||
case GGML_TYPE_Q4_3:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
case GGML_TYPE_Q8_1:
|
||||
{
|
||||
|
|
@ -8549,6 +8787,7 @@ static void ggml_compute_forward_get_rows(
|
|||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q4_2:
|
||||
case GGML_TYPE_Q4_3:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
case GGML_TYPE_Q8_1:
|
||||
{
|
||||
|
|
@ -12342,6 +12581,30 @@ size_t ggml_quantize_q4_3(const float * src, void * dst, int n, int k, int64_t *
|
|||
return (n/QK4_3*sizeof(block_q4_3));
|
||||
}
|
||||
|
||||
size_t ggml_quantize_q5_0(const float * src, void * dst, int n, int k, int64_t * hist) {
|
||||
assert(k % QK5_0 == 0);
|
||||
const int nb = k / QK5_0;
|
||||
|
||||
for (int j = 0; j < n; j += k) {
|
||||
block_q5_0 * restrict y = (block_q5_0 *)dst + j/QK5_0;
|
||||
|
||||
quantize_row_q5_0_reference(src + j, y, k);
|
||||
|
||||
// TODO: this is wrong
|
||||
for (int i = 0; i < nb; i++) {
|
||||
for (int l = 0; l < QK5_0; l += 2) {
|
||||
const uint8_t vi0 = y[i].qs[l/2] & 0xF;
|
||||
const uint8_t vi1 = y[i].qs[l/2] >> 4;
|
||||
|
||||
hist[vi0]++;
|
||||
hist[vi1]++;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return (n/QK5_0*sizeof(block_q5_0));
|
||||
}
|
||||
|
||||
size_t ggml_quantize_q8_0(const float * src, void * dst, int n, int k, int64_t * hist) {
|
||||
assert(k % QK8_0 == 0);
|
||||
const int nb = k / QK8_0;
|
||||
|
|
@ -12390,6 +12653,12 @@ size_t ggml_quantize_chunk(enum ggml_type type, const float * src, void * dst, i
|
|||
block_q4_3 * block = (block_q4_3*)dst + start / QK4_3;
|
||||
result = ggml_quantize_q4_3(src + start, block, n, n, hist);
|
||||
} break;
|
||||
case GGML_TYPE_Q5_0:
|
||||
{
|
||||
GGML_ASSERT(start % QK5_0 == 0);
|
||||
block_q5_0 * block = (block_q5_0*)dst + start / QK5_0;
|
||||
result = ggml_quantize_q5_0(src + start, block, n, n, hist);
|
||||
} break;
|
||||
case GGML_TYPE_Q8_0:
|
||||
{
|
||||
GGML_ASSERT(start % QK8_0 == 0);
|
||||
|
|
|
|||
6
ggml.h
6
ggml.h
|
|
@ -222,8 +222,9 @@ extern "C" {
|
|||
GGML_TYPE_Q4_1 = 3,
|
||||
GGML_TYPE_Q4_2 = 4,
|
||||
GGML_TYPE_Q4_3 = 5,
|
||||
GGML_TYPE_Q8_0 = 6,
|
||||
GGML_TYPE_Q8_1 = 7,
|
||||
GGML_TYPE_Q5_0 = 6,
|
||||
GGML_TYPE_Q8_0 = 7,
|
||||
GGML_TYPE_Q8_1 = 8,
|
||||
GGML_TYPE_I8,
|
||||
GGML_TYPE_I16,
|
||||
GGML_TYPE_I32,
|
||||
|
|
@ -833,6 +834,7 @@ extern "C" {
|
|||
GGML_API size_t ggml_quantize_q4_1(const float * src, void * dst, int n, int k, int64_t * hist);
|
||||
GGML_API size_t ggml_quantize_q4_2(const float * src, void * dst, int n, int k, int64_t * hist);
|
||||
GGML_API size_t ggml_quantize_q4_3(const float * src, void * dst, int n, int k, int64_t * hist);
|
||||
GGML_API size_t ggml_quantize_q5_0(const float * src, void * dst, int n, int k, int64_t * hist);
|
||||
GGML_API size_t ggml_quantize_q8_0(const float * src, void * dst, int n, int k, int64_t * hist);
|
||||
|
||||
GGML_API size_t ggml_quantize_chunk(enum ggml_type type, const float * src, void * dst, int start, int n, int64_t * hist);
|
||||
|
|
|
|||
|
|
@ -484,6 +484,7 @@ struct llama_file_loader {
|
|||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q4_2:
|
||||
case GGML_TYPE_Q4_3:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
break;
|
||||
default: {
|
||||
|
|
@ -559,6 +560,7 @@ struct llama_file_saver {
|
|||
case GGML_TYPE_Q4_1:
|
||||
case GGML_TYPE_Q4_2:
|
||||
case GGML_TYPE_Q4_3:
|
||||
case GGML_TYPE_Q5_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
break;
|
||||
default: LLAMA_ASSERT(false);
|
||||
|
|
@ -850,6 +852,7 @@ static const char *llama_ftype_name(enum llama_ftype ftype) {
|
|||
return "mostly Q4_1, some F16";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_2: return "mostly Q4_2";
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_3: return "mostly Q4_3";
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_0: return "mostly Q5_0";
|
||||
case LLAMA_FTYPE_MOSTLY_Q8_0: return "mostly Q8_0";
|
||||
default: return "unknown, may not work";
|
||||
}
|
||||
|
|
@ -1588,6 +1591,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
|
|||
case LLAMA_FTYPE_MOSTLY_Q4_1: quantized_type = GGML_TYPE_Q4_1; break;
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_2: quantized_type = GGML_TYPE_Q4_2; break;
|
||||
case LLAMA_FTYPE_MOSTLY_Q4_3: quantized_type = GGML_TYPE_Q4_3; break;
|
||||
case LLAMA_FTYPE_MOSTLY_Q5_0: quantized_type = GGML_TYPE_Q5_0; break;
|
||||
case LLAMA_FTYPE_MOSTLY_Q8_0: quantized_type = GGML_TYPE_Q8_0; break;
|
||||
default: throw format("invalid output file type %d\n", ftype);
|
||||
};
|
||||
|
|
|
|||
1
llama.h
1
llama.h
|
|
@ -75,6 +75,7 @@ extern "C" {
|
|||
LLAMA_FTYPE_MOSTLY_Q4_2 = 5, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_Q4_3 = 6, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_Q8_0 = 7, // except 1d tensors
|
||||
LLAMA_FTYPE_MOSTLY_Q5_0 = 8, // except 1d tensors
|
||||
};
|
||||
|
||||
LLAMA_API struct llama_context_params llama_context_default_params();
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue