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llama : fix qs.n_attention_wv for DeepSeek-V2 (#9156)
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@ -16822,7 +16822,8 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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// TODO: avoid hardcoded tensor names - use the TN_* constants
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if (name.find("attn_v.weight") != std::string::npos ||
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name.find("attn_qkv.weight") != std::string::npos) {
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name.find("attn_qkv.weight") != std::string::npos ||
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name.find("attn_kv_b.weight")!= std::string::npos) {
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++qs.n_attention_wv;
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} else if (name == LLM_TN(model.arch)(LLM_TENSOR_OUTPUT, "weight")) {
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qs.has_output = true;
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