imatrix: guard even more against low-bit quantization misuse
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@ -9240,6 +9240,15 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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}
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}
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}
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if ((new_type == GGML_TYPE_IQ2_XXS ||
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new_type == GGML_TYPE_IQ2_XS ||
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(new_type == GGML_TYPE_Q2_K && params->ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S && strcmp(tensor->name, "token_embd.weight") != 0)) && !imatrix) {
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fprintf(stderr, "\n\n============================================================\n");
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fprintf(stderr, "Missing importance matrix for tensor %s in a very low-bit quantization\n", tensor->name);
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fprintf(stderr, "The result will be garbage, so bailing out\n");
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fprintf(stderr, "============================================================\n\n");
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throw std::runtime_error(format("Missing importance matrix for tensor %s in a very low-bit quantization", tensor->name));
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}
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float * f32_data;
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