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llama : temporary disable Q6_K output quantization (#1711)

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Georgi Gerganov 2023-06-06 09:39:38 +03:00
parent 590250f7a9
commit 7a74dee6b4
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GPG Key ID: 449E073F9DC10735
1 changed files with 9 additions and 4 deletions
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llama.cpp
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@ -2198,8 +2198,12 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
printf("size = %8.3f MB\n", tensor.size/1024.0/1024.0);
} else {
new_type = quantized_type;
if (tensor.name == "output.weight") new_type = GGML_TYPE_Q6_K;
else if (tensor.name.find("attention.wv.weight") != std::string::npos) {
// TODO: temporary disabled until Metal / OpenCL support is available
// ref: https://github.com/ggerganov/llama.cpp/issues/1711
//if (tensor.name == "output.weight") {
// new_type = GGML_TYPE_Q6_K;
//}
if (tensor.name.find("attention.wv.weight") != std::string::npos) {
if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q5_K;
else if ((ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) &&
@ -2207,7 +2211,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
(i_attention_wv - n_attention_wv/8)%3 == 2)) new_type = GGML_TYPE_Q6_K;
++i_attention_wv;
}
else if (tensor.name.find("feed_forward.w2.weight") != std::string::npos) {
if (tensor.name.find("feed_forward.w2.weight") != std::string::npos) {
if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q5_K;
else if ((ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) &&
@ -2215,10 +2219,11 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
(i_feed_forward_w2 - n_feed_forward_w2/8)%3 == 2)) new_type = GGML_TYPE_Q6_K;
++i_feed_forward_w2;
}
else if (tensor.name.find("attention.wo.weight") != std::string::npos) {
if (tensor.name.find("attention.wo.weight") != std::string::npos) {
if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q4_K;
else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) new_type = GGML_TYPE_Q5_K;
}
float * f32_data;
size_t nelements = tensor.ne.at(0) * tensor.ne.at(1);
llama_buffer f32_conv_buf;