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llama : fix quantization when tensors are missing (#5423)
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llama.cpp
16
llama.cpp
@ -772,22 +772,37 @@ struct LLM_TN {
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llm_arch arch;
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std::string operator()(llm_tensor tensor) const {
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if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
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return "__missing__";
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}
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return LLM_TENSOR_NAMES[arch].at(tensor);
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}
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std::string operator()(llm_tensor tensor, const std::string & suffix) const {
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if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
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return "__missing__";
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}
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return LLM_TENSOR_NAMES[arch].at(tensor) + "." + suffix;
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}
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std::string operator()(llm_tensor tensor, int bid) const {
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if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
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return "__missing__";
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}
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return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid);
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}
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std::string operator()(llm_tensor tensor, const std::string & suffix, int bid) const {
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if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
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return "__missing__";
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}
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return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid) + "." + suffix;
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}
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std::string operator()(llm_tensor tensor, const std::string & suffix, int bid, int xid) const {
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if (LLM_TENSOR_NAMES[arch].find(tensor) == LLM_TENSOR_NAMES[arch].end()) {
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return "__missing__";
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}
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return ::format(LLM_TENSOR_NAMES[arch].at(tensor).c_str(), bid, xid) + "." + suffix;
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}
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};
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@ -10227,6 +10242,7 @@ static ggml_type get_k_quant_type(quantize_state_internal & qs, ggml_type new_ty
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}
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++qs.i_ffn_up;
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}
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// if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K) new_type = GGML_TYPE_Q3_K;
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//}
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// IK: let's remove this, else Q2_K is almost the same as Q3_K_S
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