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add llm_build_mm
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@ -2063,14 +2063,14 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
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for (unsigned int i = 0; i < params.lora_adapter.size(); ++i) {
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const std::string & lora_adapter = std::get<0>(params.lora_adapter[i]);
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float lora_scale = std::get<1>(params.lora_adapter[i]);
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auto adapter = llama_lora_adapter_init(lctx, lora_adapter.c_str(), lora_scale);
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auto adapter = llama_lora_adapter_init(model, lora_adapter.c_str());
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if (adapter == nullptr) {
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fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
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llama_free(lctx);
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llama_free_model(model);
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return std::make_tuple(nullptr, nullptr);
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}
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llama_lora_adapter_apply(lctx, adapter);
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llama_lora_adapter_set(lctx, adapter, lora_scale);
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}
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if (params.ignore_eos) {
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@ -19339,7 +19339,7 @@ void ggml_graph_dump_dot(const struct ggml_cgraph * gb, const struct ggml_cgraph
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fprintf(fp, "digraph G {\n");
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fprintf(fp, " newrank = true;\n");
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fprintf(fp, " rankdir = LR;\n");
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fprintf(fp, " rankdir = TB;\n");
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for (int i = 0; i < gb->n_nodes; i++) {
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struct ggml_tensor * node = gb->nodes[i];
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@ -508,19 +508,29 @@ extern "C" {
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const char * fname_out,
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const llama_model_quantize_params * params);
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// Apply a LoRA adapter to a loaded model
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// path_base_model is the path to a higher quality model to use as a base for
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// the layers modified by the adapter. Can be NULL to use the current loaded model.
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// The model needs to be reloaded before applying a new adapter, otherwise the adapter
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// will be applied on top of the previous one
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// Load a LoRA adapter from file
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// The loaded adapter will be associated to the given model, and will be free when the model is deleted
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LLAMA_API struct llama_lora_adapter * llama_lora_adapter_init(
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struct llama_model * model,
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const char * path_lora);
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// Add a loaded LoRA adapter to given context
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// This will not modify model's weight
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LLAMA_API int32_t llama_lora_adapter_set(
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struct llama_context * ctx,
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const char * path_lora,
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struct llama_lora_adapter * adapter,
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float scale);
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LLAMA_API int32_t llama_lora_adapter_apply(
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// Remove a LoRA adapter from given context
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// Return -1 if the adapter is not present in the context
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LLAMA_API int32_t llama_lora_adapter_remove(
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struct llama_context * ctx,
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struct llama_lora_adapter * adapter);
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// Manually free a LoRA adapter
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// Note: loaded adapters will be free when the associated model is deleted
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LLAMA_API void llama_lora_adapter_free(struct llama_lora_adapter * adapter);
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// Apply a loaded control vector to a llama_context, or if data is NULL, clear
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// the currently loaded vector.
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// n_embd should be the size of a single layer's control, and data should point
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469
src/llama.cpp
469
src/llama.cpp
File diff suppressed because it is too large
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