vbatts/llama.cpp
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llama.cpp : split llama_context_params into model and context params (#3301)

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* 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
This commit is contained in:
slaren 2023-09-28 21:42:38 +02:00 • committed by GitHub
parent 0512d66670
commit 16bc66d947
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27 changed files with 713 additions and 633 deletions
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17
examples/quantize-stats/quantize-stats.cpp
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@ -309,21 +309,22 @@ int main(int argc, char ** argv) {
llama_context * ctx;
{
auto lparams = llama_context_default_params();
auto mparams = llama_model_default_params();
mparams.use_mlock = false;
lparams.n_ctx = 256;
lparams.seed = 1;
lparams.f16_kv = false;
lparams.use_mlock = false;
model = llama_load_model_from_file(params.model.c_str(), lparams);
model = llama_load_model_from_file(params.model.c_str(), mparams);
if (model == NULL) {
fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
return 1;
}
ctx = llama_new_context_with_model(model, lparams);
auto cparams = llama_context_default_params();
cparams.n_ctx = 256;
cparams.seed = 1;
cparams.f16_kv = false;
ctx = llama_new_context_with_model(model, cparams);
if (ctx == NULL) {
fprintf(stderr, "%s: error: failed to create context with model '%s'\n", __func__, params.model.c_str());