diff options
author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-01-30 15:14:12 +0200 |
---|---|---|
committer | GitHub <noreply@github.com> | 2024-01-30 15:14:12 +0200 |
commit | f4d7e5497485ce6ce0e322533930b7da4657dd2d (patch) | |
tree | 78b30048cb4a9c78d5cf3e231a1ac3e9ed190577 /ggml.c | |
parent | 2256f36b79a932a478d4dcdf02c1e5a60056e5f3 (diff) |
SOTA 3-bit quants (#5196)
* iq3_xxs: quantize/dequantize
RMSE seems a bit high-ish at about half-way between q2_K and
q3_K, so need to check more.
* iq3_xxs: CUDA dequantize works
* iq2_xxs: tuning quantization
* iq3_xxs: starting to look better
PPL on wiki.test.raw
LLaMA-v1-7B: 6.4218
LLaMA-v2-7B: 6.3560
Mistral-7B : 6.0717
This is better than Q3_K_XS, with a 5% reduction in quantized model
size.
* iq3_xxs: CUDA dot product
We have
PP-512: 5891 t/s
TG-128: 143.9 t/s
* iq3_xxs: scalar and AVX2 dot products
* iq3_xxs: ARM_NEON and Metal
Metal performance is decent, ARM_NEON is pathetic
* iq3_xxs: slightly better grid points
* Faster iq3_xxs and iq2_xs dot products on CUDA
* iq3_xxs: add some quant mix
* iq3_xxs: fix failing quantization test
Dot product still fails. Is this real?
* iq3_xxs: hopefully fix ROCm
* iq3_xxs: failing tests
This time the dot product accuracy did find an actual bug
in the AVX2 implementation.
* Add IQ3_XXS to test-backend-ops
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml.c')
-rw-r--r-- | ggml.c | 30 |
1 files changed, 30 insertions, 0 deletions
@@ -599,6 +599,17 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = { .vec_dot = ggml_vec_dot_iq2_xs_q8_K, .vec_dot_type = GGML_TYPE_Q8_K, }, + [GGML_TYPE_IQ3_XXS] = { + .type_name = "iq3_xxs", + .blck_size = QK_K, + .type_size = sizeof(block_iq3_xxs), + .is_quantized = true, + .to_float = (ggml_to_float_t) dequantize_row_iq3_xxs, + .from_float = quantize_row_iq3_xxs, + .from_float_reference = (ggml_from_float_t)quantize_row_iq3_xxs_reference, + .vec_dot = ggml_vec_dot_iq3_xxs_q8_K, + .vec_dot_type = GGML_TYPE_Q8_K, + }, [GGML_TYPE_Q8_K] = { .type_name = "q8_K", .blck_size = QK_K, @@ -2144,6 +2155,7 @@ enum ggml_type ggml_ftype_to_ggml_type(enum ggml_ftype ftype) { case GGML_FTYPE_MOSTLY_Q6_K: wtype = GGML_TYPE_Q6_K; break; case GGML_FTYPE_MOSTLY_IQ2_XXS: wtype = GGML_TYPE_IQ2_XXS; break; case GGML_FTYPE_MOSTLY_IQ2_XS: wtype = GGML_TYPE_IQ2_XS; break; + case GGML_FTYPE_MOSTLY_IQ3_XXS: wtype = GGML_TYPE_IQ3_XXS; break; case GGML_FTYPE_UNKNOWN: wtype = GGML_TYPE_COUNT; break; case GGML_FTYPE_MOSTLY_Q4_1_SOME_F16: wtype = GGML_TYPE_COUNT; break; } @@ -7537,6 +7549,7 @@ static void ggml_compute_forward_add( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: { ggml_compute_forward_add_q_f32(params, src0, src1, dst); } break; @@ -7803,6 +7816,7 @@ static void ggml_compute_forward_add1( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: { ggml_compute_forward_add1_q_f32(params, src0, src1, dst); } break; @@ -7922,6 +7936,7 @@ static void ggml_compute_forward_acc( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: default: { GGML_ASSERT(false); @@ -10673,6 +10688,7 @@ static void ggml_compute_forward_out_prod( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: { ggml_compute_forward_out_prod_q_f32(params, src0, src1, dst); } break; @@ -10852,6 +10868,7 @@ static void ggml_compute_forward_set( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: default: { GGML_ASSERT(false); @@ -11048,6 +11065,7 @@ static void ggml_compute_forward_get_rows( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: { ggml_compute_forward_get_rows_q(params, src0, src1, dst); } break; @@ -11695,6 +11713,7 @@ static void ggml_compute_forward_alibi( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: case GGML_TYPE_Q8_K: case GGML_TYPE_I8: case GGML_TYPE_I16: @@ -11771,6 +11790,7 @@ static void ggml_compute_forward_clamp( case GGML_TYPE_Q6_K: case GGML_TYPE_IQ2_XXS: case GGML_TYPE_IQ2_XS: + case GGML_TYPE_IQ3_XXS: case GGML_TYPE_Q8_K: case GGML_TYPE_I8: case GGML_TYPE_I16: @@ -18827,6 +18847,7 @@ void ggml_quantize_init(enum ggml_type type) { switch (type) { case GGML_TYPE_IQ2_XXS: iq2xs_init_impl(256); break; case GGML_TYPE_IQ2_XS: iq2xs_init_impl(512); break; + case GGML_TYPE_IQ3_XXS: iq3xs_init_impl(256); break; default: // nothing break; } @@ -19089,6 +19110,15 @@ size_t ggml_quantize_chunk(enum ggml_type type, const float * src, void * dst, i result = quantize_iq2_xs(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix); GGML_ASSERT(result == row_size * nrows); } break; + case GGML_TYPE_IQ3_XXS: + { + GGML_ASSERT(start % QK_K == 0); + GGML_ASSERT(start % n_per_row == 0); + size_t start_row = start / n_per_row; + size_t row_size = ggml_row_size(type, n_per_row); + result = quantize_iq3_xxs(src + start, (char *)dst + start_row * row_size, nrows, n_per_row, hist, imatrix); + GGML_ASSERT(result == row_size * nrows); + } break; case GGML_TYPE_F16: { size_t elemsize = sizeof(ggml_fp16_t); |