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	llama.cpp : split llama_context_params into model and context params (#3301)
* llama.cpp : split llama_context_params into model and context params ggml-ci * fix metal build * fix freq_base/scale default to model value * llama-bench : keep the same model between tests when possible * move n_threads to llama_context_params, add n_threads_batch * fix mpi build * remove kv_size(), cuda scratch fixes * remove low-vram option * add n_threads_batch to system info, refactor to get_system_info() * add documentation about --threads-batch to the READMEs * llama-bench fix * main : fix rope freq/scale warning * llama.cpp : add llama_get_model common : add llama_tokenize from model * remove duplicated ctx/model functions ggml-ci * cuda : print total VRAM used
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		| @@ -976,14 +976,16 @@ int main(int argc, char ** argv) { | ||||
|     printf("%s: seed: %u\n", __func__, params.common.seed); | ||||
|     srand(params.common.seed); | ||||
|  | ||||
|     struct llama_context_params llama_params = llama_context_default_params(); | ||||
|     llama_params.vocab_only = true; | ||||
|     struct llama_model_params mparams = llama_model_default_params(); | ||||
|     mparams.vocab_only = true; | ||||
|  | ||||
|     struct llama_model * lmodel = llama_load_model_from_file(params.fn_vocab_model, llama_params); | ||||
|     struct llama_context * lctx = llama_new_context_with_model(lmodel, llama_params); | ||||
|     struct llama_context_params cparams = llama_context_default_params(); | ||||
|  | ||||
|     struct llama_model * lmodel = llama_load_model_from_file(params.fn_vocab_model, mparams); | ||||
|     struct llama_context * lctx = llama_new_context_with_model(lmodel, cparams); | ||||
|  | ||||
|     struct my_llama_model model; | ||||
|     model.hparams.n_vocab = llama_n_vocab(lctx); | ||||
|     model.hparams.n_vocab = llama_n_vocab(lmodel); | ||||
|     model.hparams.n_ctx   = params.common.n_ctx; | ||||
|     model.hparams.n_embd  = params.n_embd; | ||||
|     model.hparams.n_head  = params.n_head; | ||||
|   | ||||
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