vbatts/llama.cpp
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Per convention, all QX_K quantizations use Q5_K for output.weight

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Iwan Kawrakow 2023-05-29 19:32:43 +03:00
parent b835d0f49f
commit 5c5191ab68
2 changed files with 3 additions and 0 deletions
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2
ggml.c
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@ -3497,6 +3497,7 @@ static const size_t GGML_TYPE_SIZE[GGML_TYPE_COUNT] = {
[GGML_TYPE_Q5_1] = sizeof(block_q5_1),
[GGML_TYPE_Q8_0] = sizeof(block_q8_0),
[GGML_TYPE_Q8_1] = sizeof(block_q8_1),
[GGML_TYPE_Q3_K] = sizeof(block_q3_K),
[GGML_TYPE_Q4_K] = sizeof(block_q4_K),
[GGML_TYPE_Q5_K] = sizeof(block_q5_K),
[GGML_TYPE_Q6_K] = sizeof(block_q6_K),
@ -3537,6 +3538,7 @@ static bool GGML_IS_QUANTIZED[GGML_TYPE_COUNT] = {
[GGML_TYPE_Q5_1] = true,
[GGML_TYPE_Q8_0] = true,
[GGML_TYPE_Q8_1] = true,
[GGML_TYPE_Q3_K] = true,
[GGML_TYPE_Q4_K] = true,
[GGML_TYPE_Q5_K] = true,
[GGML_TYPE_Q6_K] = true,

1
llama.cpp
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@ -2131,6 +2131,7 @@ 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;
float * f32_data;
size_t nelements = tensor.ne.at(0) * tensor.ne.at(1);
llama_buffer f32_conv_buf;