vbatts/llama.cpp
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llama : quantize token_embd.weight using output type

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Georgi Gerganov 2024-02-22 14:42:24 +02:00
parent f181e601a1
commit 488bd973a7
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1 changed files with 4 additions and 4 deletions
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llama.cpp
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@ -10481,7 +10481,10 @@ static ggml_type get_k_quant_type(quantize_state_internal & qs, ggml_type new_ty
return std::make_pair(i_layer, n_layer); return std::make_pair(i_layer, n_layer);
}; };
if (name == tn(LLM_TENSOR_OUTPUT, "weight")) { // for arches that share the same tensor between the token embeddings and the output, we quantize the token embeddings
// with the quantization of the output tensor
if (name == tn(LLM_TENSOR_OUTPUT, "weight") ||
(LLM_TENSOR_NAMES.at(arch).find(LLM_TENSOR_OUTPUT) == LLM_TENSOR_NAMES.at(arch).end() && name == "token_embd.weight")) {
int nx = tensor->ne[0]; int nx = tensor->ne[0];
if (arch == LLM_ARCH_FALCON || nx % QK_K != 0) { if (arch == LLM_ARCH_FALCON || nx % QK_K != 0) {
new_type = GGML_TYPE_Q8_0; new_type = GGML_TYPE_Q8_0;
@ -10499,9 +10502,6 @@ static ggml_type get_k_quant_type(quantize_state_internal & qs, ggml_type new_ty
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) { else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
new_type = GGML_TYPE_Q4_K; new_type = GGML_TYPE_Q4_K;
} }
else if (arch == LLM_ARCH_GEMMA) {
new_type = GGML_TYPE_Q8_0;
}
} else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S) { } else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S) {
if (name.find("attn_v.weight") != std::string::npos) { if (name.find("attn_v.weight") != std::string::npos) {
if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q4_K; if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q4_K;