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| author | Kawrakow <iwankawrakow@gmail.com> | 2024-12-10 18:13:47 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-12-10 18:13:47 +0100 |
| commit | a63a96b5aea031f9dabf1e7c8d5ee28af170e9e7 (patch) | |
| tree | 01e5c72689e8daa72a53bbe069c8669655187a34 /src | |
| parent | c819fa651beb20c559f692801819e0447d0ead85 (diff) | |
Q5_K_R4 (#132)
* q5_k_r4: WIP
* q5_k_r4: Zen4 and AVX2
We get PP-512(LLaMA-3.1-8B) = 248.3 t/s on Zen4.
Q5_K_S has PP-512 = 190 t/s.
* q5_k_r4: NEON
We get PP-512(LLaMA-3.1-8B) = 96.1 t/s.
---------
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'src')
| -rw-r--r-- | src/llama.cpp | 14 |
1 files changed, 13 insertions, 1 deletions
diff --git a/src/llama.cpp b/src/llama.cpp index 3b617b06..dc6d307d 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -3839,6 +3839,7 @@ struct llama_model_loader { case GGML_TYPE_Q4_K: ftype = LLAMA_FTYPE_MOSTLY_Q4_K_M; break; case GGML_TYPE_Q4_K_R4: ftype = LLAMA_FTYPE_MOSTLY_Q4_K_R4; break; case GGML_TYPE_Q5_K: ftype = LLAMA_FTYPE_MOSTLY_Q5_K_M; break; + case GGML_TYPE_Q5_K_R4: ftype = LLAMA_FTYPE_MOSTLY_Q5_K_R4; break; case GGML_TYPE_Q6_K: ftype = LLAMA_FTYPE_MOSTLY_Q6_K; break; case GGML_TYPE_Q6_K_R4: ftype = LLAMA_FTYPE_MOSTLY_Q6_K_R4; break; case GGML_TYPE_IQ2_XXS: ftype = LLAMA_FTYPE_MOSTLY_IQ2_XXS; break; @@ -4551,6 +4552,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) { case LLAMA_FTYPE_MOSTLY_Q4_K_R4: return "Q4_K_R4"; case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "Q4_K - Medium"; case LLAMA_FTYPE_MOSTLY_Q5_K_S: return "Q5_K - Small"; + case LLAMA_FTYPE_MOSTLY_Q5_K_R4: return "Q5_K_R4"; case LLAMA_FTYPE_MOSTLY_Q5_K_M: return "Q5_K - Medium"; case LLAMA_FTYPE_MOSTLY_Q6_K: return "Q6_K"; case LLAMA_FTYPE_MOSTLY_Q6_K_R4: return "Q6_K_R4"; @@ -15793,6 +15795,9 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n else if (new_type == GGML_TYPE_Q4_K_R4) { new_type = GGML_TYPE_Q4_K; } + else if (new_type == GGML_TYPE_Q5_K_R4) { + new_type = GGML_TYPE_Q5_K; + } else if (new_type == GGML_TYPE_Q6_K_R4) { new_type = GGML_TYPE_Q6_K; } @@ -16067,7 +16072,8 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n new_type == GGML_TYPE_IQ1_M || new_type == GGML_TYPE_IQ4_K || new_type == GGML_TYPE_IQ2_K || new_type == GGML_TYPE_IQ5_K || new_type == GGML_TYPE_IQ3_K || new_type == GGML_TYPE_Q4_K_R4 || new_type == GGML_TYPE_IQ6_K || new_type == GGML_TYPE_IQ4_KS || new_type == GGML_TYPE_IQ4_XS_R4 || - new_type == GGML_TYPE_IQ2_KS || new_type == GGML_TYPE_IQ4_KSS || new_type == GGML_TYPE_Q6_K_R4) { + new_type == GGML_TYPE_IQ2_KS || new_type == GGML_TYPE_IQ4_KSS || new_type == GGML_TYPE_Q6_K_R4 || + new_type == GGML_TYPE_Q5_K_R4) { int nx = tensor->ne[0]; int ny = tensor->ne[1]; if (nx % QK_K != 0) { @@ -16105,6 +16111,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n case GGML_TYPE_Q4_K_R4: case GGML_TYPE_Q4_K: new_type = GGML_TYPE_Q5_0; break; case GGML_TYPE_IQ5_K: + case GGML_TYPE_Q5_K_R4: case GGML_TYPE_Q5_K: new_type = GGML_TYPE_Q6_0; break; case GGML_TYPE_IQ6_K: case GGML_TYPE_Q6_K_R4: @@ -16199,6 +16206,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s case LLAMA_FTYPE_MOSTLY_Q4_K_R4: default_type = GGML_TYPE_Q4_K_R4; break; case LLAMA_FTYPE_MOSTLY_Q5_K_S: case LLAMA_FTYPE_MOSTLY_Q5_K_M: default_type = GGML_TYPE_Q5_K; break; + case LLAMA_FTYPE_MOSTLY_Q5_K_R4: default_type = GGML_TYPE_Q5_K_R4; break; case LLAMA_FTYPE_MOSTLY_Q6_K: default_type = GGML_TYPE_Q6_K; break; case LLAMA_FTYPE_MOSTLY_Q6_K_R4: default_type = GGML_TYPE_Q6_K_R4; break; case LLAMA_FTYPE_MOSTLY_IQ2_XXS: default_type = GGML_TYPE_IQ2_XXS; break; @@ -16604,6 +16612,10 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q4_K; else chunk_size_multiplier = 4; } + else if (new_type == GGML_TYPE_Q5_K_R4) { + if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q5_K; + else chunk_size_multiplier = 4; + } else if (new_type == GGML_TYPE_Q6_K_R4) { if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q6_K; else chunk_size_multiplier = 4; |