rm unneeded vocab
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7dc271fb37
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c6214ee9d6
4 changed files with 10 additions and 11 deletions
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@ -1911,9 +1911,9 @@ struct server_context {
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}});
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GGML_ASSERT(templates.template_default);
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try {
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common_chat_params_init(*templates.template_default, inputs, vocab);
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common_chat_params_init(*templates.template_default, inputs);
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if (templates.template_tool_use) {
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common_chat_params_init(*templates.template_tool_use, inputs, vocab);
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common_chat_params_init(*templates.template_tool_use, inputs);
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}
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return true;
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} catch (const std::exception & e) {
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@ -4052,7 +4052,7 @@ int main(int argc, char ** argv) {
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}
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auto body = json::parse(req.body);
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json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates, llama_model_get_vocab(ctx_server.model));
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json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates);
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return handle_completions_impl(
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SERVER_TASK_TYPE_COMPLETION,
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@ -4065,7 +4065,7 @@ int main(int argc, char ** argv) {
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// same with handle_chat_completions, but without inference part
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const auto handle_apply_template = [&ctx_server, ¶ms, &res_ok](const httplib::Request & req, httplib::Response & res) {
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auto body = json::parse(req.body);
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json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates, llama_model_get_vocab(ctx_server.model));
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json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates);
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res_ok(res, {{ "prompt", std::move(data.at("prompt")) }});
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};
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@ -582,8 +582,7 @@ static json oaicompat_completion_params_parse(const json & body) {
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static json oaicompat_completion_params_parse(
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const json & body, /* openai api json semantics */
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bool use_jinja,
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const common_chat_templates & chat_templates,
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const llama_vocab * vocab)
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const common_chat_templates & chat_templates)
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{
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json llama_params;
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const auto & tmpl = body.contains("tools") && chat_templates.template_tool_use
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@ -649,7 +648,7 @@ static json oaicompat_completion_params_parse(
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inputs.stream = stream;
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// TODO: support mixing schema w/ tools beyond generic format.
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inputs.json_schema = json_value(llama_params, "json_schema", json());
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auto chat_params = common_chat_params_init(tmpl, inputs, vocab);
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auto chat_params = common_chat_params_init(tmpl, inputs);
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llama_params["chat_format"] = static_cast<int>(chat_params.format);
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llama_params["prompt"] = chat_params.prompt;
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