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qwen2 warning FA
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116d5fe58e
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3 changed files with 7 additions and 14 deletions
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@ -826,17 +826,6 @@ static float CalcGradientAIRopeFreqBase(float original_rope_base, int n_ctx_trai
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}
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return rope_freq_base_with_positive_offset;
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}
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// else if(model_arch==GGUFArch::ARCH_MISTRAL_LLAMA_1_AND_2)
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// {
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// float extended_rope_negative_offset_value = 1 + ((log10f(chi_ctx_value) - log10f(chi_ctx_train_value)) / (3.14159265358979323846 * 3.14159265358979323846));
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// float rope_freq_base_with_negative_offset = gradient_ai_rope_freq_base_value / extended_rope_negative_offset_value;
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// if(debugmode==1)
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// {
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// printf("Extended RoPE Negative Offset (divisor) for Llama 1 and 2 based models. (value:%.3f).\n", extended_rope_negative_offset_value);
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// printf("RoPE base calculated via Gradient AI formula for Llama 1 and 2 based models. (value:%.1f).\n", rope_freq_base_with_negative_offset);
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// }
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// return rope_freq_base_with_negative_offset;
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// }
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else
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{
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return gradient_ai_rope_freq_base_value;
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@ -1087,6 +1076,10 @@ ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in
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printf("CUBLAS: Set main device to %d\n",cu_parseinfo_maindevice);
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}
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ggml_cuda_set_mul_mat_q(inputs.use_mmq);
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if(file_format_meta.model_architecture == GGUFArch::ARCH_QWEN2 && kcpp_params->flash_attn)
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{
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printf("CUBLAS: Warning, you are running Qwen2 without Flash Attention and may observe incoherent output.\n");
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}
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#endif
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model_params.main_gpu = cu_parseinfo_maindevice;
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@ -310,9 +310,9 @@ void print_tok_vec(std::vector<float> &embd)
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{
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fileformatmeta->model_architecture = GGUFArch::ARCH_SOLAR;
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}
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else if(modelarch=="llama" && freq_base_train==10000.0f)
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else if(modelarch=="qwen2")
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{
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fileformatmeta->model_architecture = GGUFArch::ARCH_MISTRAL_LLAMA_1_AND_2;
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fileformatmeta->model_architecture = GGUFArch::ARCH_QWEN2;
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}
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printf("Arch Category: %d\n",fileformatmeta->model_architecture);
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@ -57,7 +57,7 @@ enum GGUFArch
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ARCH_PHI = 2,
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ARCH_MAMBA = 3,
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ARCH_SOLAR = 4,
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ARCH_MISTRAL_LLAMA_1_AND_2 = 5,
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ARCH_QWEN2 = 5,
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};
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struct FileFormatExtraMeta
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