diff options
Diffstat (limited to 'src/llama.cpp')
| -rw-r--r-- | src/llama.cpp | 18 |
1 files changed, 15 insertions, 3 deletions
diff --git a/src/llama.cpp b/src/llama.cpp index dc6d307d..9f41724f 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -3836,6 +3836,7 @@ struct llama_model_loader { case GGML_TYPE_Q8_0: ftype = LLAMA_FTYPE_MOSTLY_Q8_0; break; case GGML_TYPE_Q2_K: ftype = LLAMA_FTYPE_MOSTLY_Q2_K; break; case GGML_TYPE_Q3_K: ftype = LLAMA_FTYPE_MOSTLY_Q3_K_M; break; + case GGML_TYPE_Q3_K_R4: ftype = LLAMA_FTYPE_MOSTLY_Q3_K_R4; break; 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; @@ -4548,6 +4549,7 @@ static std::string llama_model_ftype_name(llama_ftype ftype) { case LLAMA_FTYPE_MOSTLY_Q3_K_S: return "Q3_K - Small"; case LLAMA_FTYPE_MOSTLY_Q3_K_M: return "Q3_K - Medium"; case LLAMA_FTYPE_MOSTLY_Q3_K_L: return "Q3_K - Large"; + case LLAMA_FTYPE_MOSTLY_Q3_K_R4: return "Q3_K_R4"; case LLAMA_FTYPE_MOSTLY_Q4_K_S: return "Q4_K - Small"; case LLAMA_FTYPE_MOSTLY_Q4_K_R4: return "Q4_K_R4"; case LLAMA_FTYPE_MOSTLY_Q4_K_M: return "Q4_K - Medium"; @@ -15792,6 +15794,9 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n else if (new_type == GGML_TYPE_IQ4_XS_R4) { new_type = GGML_TYPE_IQ4_XS; } + else if (new_type == GGML_TYPE_Q3_K_R4) { + new_type = GGML_TYPE_Q3_K; + } else if (new_type == GGML_TYPE_Q4_K_R4) { new_type = GGML_TYPE_Q4_K; } @@ -15904,6 +15909,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n else if (qs.model.hparams.n_gqa() >= 4) { if (new_type == GGML_TYPE_Q2_K || new_type == GGML_TYPE_IQ3_XXS) new_type = GGML_TYPE_IQ3_S; else if (new_type == GGML_TYPE_Q3_K || new_type == GGML_TYPE_IQ3_S ) new_type = GGML_TYPE_Q4_K; + else if (new_type == GGML_TYPE_Q3_K_R4) new_type = GGML_TYPE_Q4_K_R4; else if (new_type == GGML_TYPE_Q4_K || new_type == GGML_TYPE_IQ4_XS) new_type = GGML_TYPE_Q5_K; else if (new_type == GGML_TYPE_IQ4_NL) new_type = GGML_TYPE_Q5_K; else if (new_type == GGML_TYPE_IQ4_NL_R4) new_type = GGML_TYPE_Q5_K; @@ -15935,7 +15941,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n else if (ftype == LLAMA_FTYPE_MOSTLY_Q5_K_S) { if (qs.model.hparams.n_vocab >= 127999 && (qs.model.type == MODEL_8B || qs.model.type == MODEL_70B)) new_type = GGML_TYPE_Q4_K; - } + } } else if (name.find("ffn_down") != std::string::npos) { auto info = layer_info(qs.i_ffn_down, qs.n_ffn_down, name.c_str()); int i_layer = info.first, n_layer = info.second; @@ -16003,7 +16009,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_IQ3_S || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ4_K || ftype == LLAMA_FTYPE_MOSTLY_IQ2_K || ftype == LLAMA_FTYPE_MOSTLY_IQ3_K || ftype == LLAMA_FTYPE_MOSTLY_Q4_K_R4 || - ftype == LLAMA_FTYPE_MOSTLY_IQ4_NL_R4 || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS_R4) { + ftype == LLAMA_FTYPE_MOSTLY_IQ4_NL_R4 || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS_R4 || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_R4) { new_type = GGML_TYPE_Q5_K; } } else { @@ -16073,7 +16079,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n 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_Q5_K_R4) { + new_type == GGML_TYPE_Q5_K_R4 || new_type == GGML_TYPE_Q3_K_R4) { int nx = tensor->ne[0]; int ny = tensor->ne[1]; if (nx % QK_K != 0) { @@ -16101,6 +16107,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n case GGML_TYPE_IQ1_M: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: + case GGML_TYPE_Q3_K_R4: case GGML_TYPE_IQ2_K: case GGML_TYPE_IQ3_K: case GGML_TYPE_IQ4_KSS: @@ -16201,6 +16208,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s case LLAMA_FTYPE_MOSTLY_Q3_K_S: case LLAMA_FTYPE_MOSTLY_Q3_K_M: case LLAMA_FTYPE_MOSTLY_Q3_K_L: default_type = GGML_TYPE_Q3_K; break; + case LLAMA_FTYPE_MOSTLY_Q3_K_R4: default_type = GGML_TYPE_Q3_K_R4; break; case LLAMA_FTYPE_MOSTLY_Q4_K_S: case LLAMA_FTYPE_MOSTLY_Q4_K_M: default_type = GGML_TYPE_Q4_K; break; case LLAMA_FTYPE_MOSTLY_Q4_K_R4: default_type = GGML_TYPE_Q4_K_R4; break; @@ -16608,6 +16616,10 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q8_0; else chunk_size_multiplier = 4; } + else if (new_type == GGML_TYPE_Q3_K_R4) { + if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q3_K; + else chunk_size_multiplier = 4; + } else if (new_type == GGML_TYPE_Q4_K_R4) { if (tensor->ne[1] % 4 != 0) new_type = GGML_TYPE_Q4_K; else chunk_size_multiplier = 4; |