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Better perplexity for 2- and 3-bit quantization for LLaMA-v2-70B (#2807)
* Better perplexity for 2- and 3-bit quantization for the 70B model * PR comment --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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14
llama.cpp
14
llama.cpp
@ -4653,6 +4653,10 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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std::unique_ptr<llama_model_loader> ml(new llama_model_loader(fname_inp, /*use_mmap*/ false));
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llama_model model;
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llm_load_arch(*ml, model);
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llm_load_hparams(*ml, model, 0, 0, 0);
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const size_t align = GGUF_DEFAULT_ALIGNMENT;
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struct gguf_context * ctx_out = gguf_init_empty();
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@ -4678,6 +4682,10 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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++n_feed_forward_w2;
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}
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}
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if (n_attention_wv != n_feed_forward_w2 || (uint32_t)n_attention_wv != model.hparams.n_layer) {
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LLAMA_LOG_WARN("%s ============ Strange model: n_attention_wv = %d, n_feed_forward_w2 = %d, hparams.n_layer = %d\n",
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__func__, n_attention_wv, n_feed_forward_w2, model.hparams.n_layer);
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}
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int i_attention_wv = 0;
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int i_feed_forward_w2 = 0;
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@ -4769,6 +4777,12 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S && i_attention_wv < 4) new_type = GGML_TYPE_Q5_K;
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else if (QK_K == 64 && (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_S) &&
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(i_attention_wv < n_attention_wv/8 || i_attention_wv >= 7*n_attention_wv/8)) new_type = GGML_TYPE_Q6_K;
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if (model.type == MODEL_70B) {
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// In the 70B model we have 8 heads sharing the same attn_v weights. As a result, the attn_v.weight tensor is
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// 8x smaller compared to attn_q.weight. Hence, we can get a nice boost in quantization accuracy with
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// nearly negligible increase in model size by quantizing this tensor with more bits:
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if (new_type == GGML_TYPE_Q3_K || new_type == GGML_TYPE_Q4_K) new_type = GGML_TYPE_Q5_K;
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}
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++i_attention_wv;
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} else if (name.find("ffn_down.weight") != std::string::npos) {
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if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
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