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https://github.com/LostRuins/koboldcpp.git
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still refactoring
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+5
-5
@@ -19,7 +19,7 @@ static gpt_params params;
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static int n_past = 0;
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static int n_threads = 4;
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static int n_batch = 8;
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static std::string model;
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static std::string modelname;
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static llama_context *ctx;
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static std::vector<llama_token> last_n_tokens;
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static std::vector<llama_token> current_context_tokens;
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@@ -32,7 +32,7 @@ bool llama_load_model(const load_model_inputs inputs, FileFormat in_file_format)
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n_threads = inputs.threads;
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n_batch = inputs.batch_size;
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model = inputs.model_filename;
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modelname = inputs.model_filename;
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ctx_params.n_ctx = inputs.max_context_length;
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ctx_params.n_parts = inputs.n_parts_overwrite;
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@@ -44,16 +44,16 @@ bool llama_load_model(const load_model_inputs inputs, FileFormat in_file_format)
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if (file_format == FileFormat::GGML || file_format == FileFormat::GGHF)
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{
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ctx = legacy_llama_init_from_file(model.c_str(), ctx_params);
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ctx = legacy_llama_init_from_file(modelname.c_str(), ctx_params);
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}
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else
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{
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ctx = llama_init_from_file(model.c_str(), ctx_params);
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ctx = llama_init_from_file(modelname.c_str(), ctx_params);
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}
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if (ctx == NULL)
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{
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fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, model.c_str());
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fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, modelname.c_str());
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return false;
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}
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