mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-06-27 03:55:20 +00:00
10d2af0eaa
* llama/ggml: add LLM training support more compact progress bar llama_save_model_to_file llama_opt_param_filter ggml_graph_dup force_grads refactor ggml_opt, fix test-opt * remove logits_all * refactor CUDA implementation for ACC * reset graph at beginning of opt period
38 lines
1.0 KiB
C++
38 lines
1.0 KiB
C++
#pragma once
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#include "llama.h"
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#include "llama-arch.h"
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#include <vector>
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struct llama_model_saver {
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struct gguf_context * gguf_ctx = nullptr;
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const struct llama_model & model;
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const struct LLM_KV llm_kv;
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llama_model_saver(const struct llama_model & model);
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~llama_model_saver();
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void add_kv(enum llm_kv key, uint32_t value);
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void add_kv(enum llm_kv key, int32_t value);
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void add_kv(enum llm_kv key, float value);
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void add_kv(enum llm_kv key, bool value);
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void add_kv(enum llm_kv key, const char * value);
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[[noreturn]]
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void add_kv(enum llm_kv key, char value); // needed to make the template below compile
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template <typename Container>
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void add_kv(enum llm_kv key, const Container & value, bool per_layer = false);
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void add_kv(enum llm_kv key, const std::vector<std::string> & value);
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void add_tensor(const struct ggml_tensor * tensor);
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void add_kv_from_model();
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void add_tensors_from_model();
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void save(const std::string & path_model);
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};
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