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https://github.com/ggml-org/llama.cpp.git
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Merge branch 'master' into xsn/private_batch_api
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@@ -853,6 +853,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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}
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}
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).set_excludes({LLAMA_EXAMPLE_SERVER}));
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add_opt(common_arg(
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{"-sysf", "--system-prompt-file"}, "FNAME",
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"a file containing the system prompt (default: none)",
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[](common_params & params, const std::string & value) {
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std::ifstream file(value);
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if (!file) {
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throw std::runtime_error(string_format("error: failed to open file '%s'\n", value.c_str()));
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}
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std::copy(std::istreambuf_iterator<char>(file), std::istreambuf_iterator<char>(), back_inserter(params.system_prompt));
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if (!params.system_prompt.empty() && params.system_prompt.back() == '\n') {
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params.system_prompt.pop_back();
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}
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}
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).set_examples({LLAMA_EXAMPLE_MAIN}));
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add_opt(common_arg(
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{"--in-file"}, "FNAME",
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"an input file (repeat to specify multiple files)",
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@@ -1875,7 +1889,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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[](common_params & params, const std::string & value) {
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params.out_file = value;
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}
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).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA}));
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).set_examples({LLAMA_EXAMPLE_IMATRIX, LLAMA_EXAMPLE_CVECTOR_GENERATOR, LLAMA_EXAMPLE_EXPORT_LORA, LLAMA_EXAMPLE_TTS}));
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add_opt(common_arg(
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{"-ofreq", "--output-frequency"}, "N",
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string_format("output the imatrix every N iterations (default: %d)", params.n_out_freq),
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@@ -998,6 +998,8 @@ struct common_init_result common_init_from_params(common_params & params) {
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if (params.warmup) {
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LOG_WRN("%s: warming up the model with an empty run - please wait ... (--no-warmup to disable)\n", __func__);
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llama_set_warmup(lctx, true);
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std::vector<llama_token> tmp;
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llama_token bos = llama_vocab_bos(vocab);
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llama_token eos = llama_vocab_eos(vocab);
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@@ -1030,6 +1032,7 @@ struct common_init_result common_init_from_params(common_params & params) {
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llama_kv_self_clear(lctx);
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llama_synchronize(lctx);
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llama_perf_context_reset(lctx);
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llama_set_warmup(lctx, false);
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}
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iparams.model.reset(model);
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