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server : add llama2 chat template (#5425)
* server: add mistral chat template * server: fix typo * server: rename template mistral to llama2 * server: format_llama2: remove BOS * server: validate "--chat-template" argument * server: clean up using_chatml variable Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com> --------- Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
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@ -15,9 +15,13 @@
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using json = nlohmann::json;
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inline static json oaicompat_completion_params_parse(
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const json &body /* openai api json semantics */)
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const json &body, /* openai api json semantics */
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const std::string &chat_template)
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{
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json llama_params;
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std::string formatted_prompt = chat_template == "chatml"
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? format_chatml(body["messages"]) // OpenAI 'messages' to chatml (with <|im_start|>,...)
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: format_llama2(body["messages"]); // OpenAI 'messages' to llama2 (with [INST],...)
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llama_params["__oaicompat"] = true;
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@ -30,7 +34,7 @@ inline static json oaicompat_completion_params_parse(
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// https://platform.openai.com/docs/api-reference/chat/create
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llama_sampling_params default_sparams;
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llama_params["model"] = json_value(body, "model", std::string("unknown"));
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llama_params["prompt"] = format_chatml(body["messages"]); // OpenAI 'messages' to llama.cpp 'prompt'
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llama_params["prompt"] = formatted_prompt;
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llama_params["cache_prompt"] = json_value(body, "cache_prompt", false);
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llama_params["temperature"] = json_value(body, "temperature", 0.0);
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llama_params["top_k"] = json_value(body, "top_k", default_sparams.top_k);
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@ -36,6 +36,7 @@ struct server_params
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std::string hostname = "127.0.0.1";
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std::vector<std::string> api_keys;
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std::string public_path = "examples/server/public";
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std::string chat_template = "chatml";
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int32_t port = 8080;
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int32_t read_timeout = 600;
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int32_t write_timeout = 600;
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@ -1859,6 +1860,8 @@ static void server_print_usage(const char *argv0, const gpt_params ¶ms,
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printf(" types: int, float, bool. example: --override-kv tokenizer.ggml.add_bos_token=bool:false\n");
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printf(" -gan N, --grp-attn-n N set the group attention factor to extend context size through self-extend(default: 1=disabled), used together with group attention width `--grp-attn-w`");
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printf(" -gaw N, --grp-attn-w N set the group attention width to extend context size through self-extend(default: 512), used together with group attention factor `--grp-attn-n`");
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printf(" --chat-template FORMAT_NAME");
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printf(" set chat template, possible valus is: llama2, chatml (default %s)", sparams.chat_template.c_str());
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printf("\n");
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}
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@ -2290,6 +2293,21 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
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log_set_target(stdout);
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LOG_INFO("logging to file is disabled.", {});
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}
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else if (arg == "--chat-template")
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{
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if (++i >= argc)
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{
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invalid_param = true;
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break;
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}
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std::string value(argv[i]);
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if (value != "chatml" && value != "llama2") {
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fprintf(stderr, "error: chat template can be \"llama2\" or \"chatml\", but got: %s\n", value.c_str());
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invalid_param = true;
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break;
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}
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sparams.chat_template = value;
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}
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else if (arg == "--override-kv")
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{
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if (++i >= argc) {
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@ -2743,13 +2761,13 @@ int main(int argc, char **argv)
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// TODO: add mount point without "/v1" prefix -- how?
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svr.Post("/v1/chat/completions", [&llama, &validate_api_key](const httplib::Request &req, httplib::Response &res)
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svr.Post("/v1/chat/completions", [&llama, &validate_api_key, &sparams](const httplib::Request &req, httplib::Response &res)
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{
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res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
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if (!validate_api_key(req, res)) {
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return;
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}
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json data = oaicompat_completion_params_parse(json::parse(req.body));
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json data = oaicompat_completion_params_parse(json::parse(req.body), sparams.chat_template);
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const int task_id = llama.queue_tasks.get_new_id();
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llama.queue_results.add_waiting_task_id(task_id);
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@ -167,6 +167,34 @@ static T json_value(const json &body, const std::string &key, const T &default_v
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: default_value;
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}
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inline std::string format_llama2(std::vector<json> messages)
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{
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std::ostringstream output;
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bool is_inside_turn = false;
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for (auto it = messages.begin(); it != messages.end(); ++it) {
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if (!is_inside_turn) {
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output << "[INST] ";
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}
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std::string role = json_value(*it, "role", std::string("user"));
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std::string content = json_value(*it, "content", std::string(""));
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if (role == "system") {
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output << "<<SYS>>\n" << content << "\n<<SYS>>\n\n";
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is_inside_turn = true;
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} else if (role == "user") {
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output << content << " [/INST]";
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is_inside_turn = true;
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} else {
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output << " " << content << " </s>";
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is_inside_turn = false;
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}
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}
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LOG_VERBOSE("format_llama2", {{"text", output.str()}});
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return output.str();
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}
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inline std::string format_chatml(std::vector<json> messages)
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{
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std::ostringstream chatml_msgs;
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@ -180,6 +208,8 @@ inline std::string format_chatml(std::vector<json> messages)
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chatml_msgs << "<|im_start|>assistant" << '\n';
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LOG_VERBOSE("format_chatml", {{"text", chatml_msgs.str()}});
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return chatml_msgs.str();
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}
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