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https://github.com/ggerganov/llama.cpp.git
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Fix new line issue with chat template, disable template when in-prefix/suffix is set (#8203)
* preserve new line llama_chat_format_single * disable chat template if in-prefix/suffix is set * remove redundant change
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@ -1014,16 +1014,19 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
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}
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if (arg == "--in-prefix-bos") {
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params.input_prefix_bos = true;
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params.enable_chat_template = false;
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return true;
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}
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if (arg == "--in-prefix") {
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CHECK_ARG
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params.input_prefix = argv[i];
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params.enable_chat_template = false;
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return true;
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}
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if (arg == "--in-suffix") {
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CHECK_ARG
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params.input_suffix = argv[i];
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params.enable_chat_template = false;
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return true;
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}
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if (arg == "--spm-infill") {
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@ -1406,7 +1409,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
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"halt generation at PROMPT, return control in interactive mode\n"
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"can be specified more than once for multiple prompts" });
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options.push_back({ "main", "-sp, --special", "special tokens output enabled (default: %s)", params.special ? "true" : "false" });
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options.push_back({ "main", "-cnv, --conversation", "run in conversation mode (does not print special tokens and suffix/prefix) (default: %s)", params.conversation ? "true" : "false" });
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options.push_back({ "main", "-cnv, --conversation", "run in conversation mode (does not print special tokens and suffix/prefix, use default chat template) (default: %s)", params.conversation ? "true" : "false" });
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options.push_back({ "main infill", "-i, --interactive", "run in interactive mode (default: %s)", params.interactive ? "true" : "false" });
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options.push_back({ "main infill", "-if, --interactive-first", "run in interactive mode and wait for input right away (default: %s)", params.interactive_first ? "true" : "false" });
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options.push_back({ "main infill", "-mli, --multiline-input", "allows you to write or paste multiple lines without ending each in '\\'" });
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@ -2668,12 +2671,19 @@ std::string llama_chat_format_single(const struct llama_model * model,
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const std::vector<llama_chat_msg> & past_msg,
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const llama_chat_msg & new_msg,
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bool add_ass) {
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std::ostringstream ss;
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auto fmt_past_msg = llama_chat_apply_template(model, tmpl, past_msg, false);
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std::vector<llama_chat_msg> chat_new(past_msg);
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// if the past_msg ends with a newline, we must preserve it in the formatted version
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if (add_ass && !fmt_past_msg.empty() && fmt_past_msg.back() == '\n') {
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ss << "\n";
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};
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// format chat with new_msg
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chat_new.push_back(new_msg);
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auto fmt_new_msg = llama_chat_apply_template(model, tmpl, chat_new, add_ass);
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auto formatted = fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
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return formatted;
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// get the diff part
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ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
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return ss.str();
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}
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std::string llama_chat_format_example(const struct llama_model * model,
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@ -200,6 +200,7 @@ struct gpt_params {
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std::string public_path = "";
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std::string chat_template = "";
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std::string system_prompt = "";
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bool enable_chat_template = true;
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std::vector<std::string> api_keys;
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@ -261,7 +261,7 @@ int main(int argc, char ** argv) {
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std::vector<llama_token> embd_inp;
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{
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auto prompt = params.conversation
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auto prompt = (params.conversation && params.enable_chat_template)
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? chat_add_and_format(model, chat_msgs, "system", params.prompt) // format the system prompt in conversation mode
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: params.prompt;
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if (params.interactive_first || !params.prompt.empty() || session_tokens.empty()) {
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@ -810,7 +810,9 @@ int main(int argc, char ** argv) {
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is_antiprompt = true;
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}
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if (params.enable_chat_template) {
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chat_add_and_format(model, chat_msgs, "assistant", assistant_ss.str());
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}
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is_interacting = true;
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printf("\n");
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}
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@ -872,12 +874,13 @@ int main(int argc, char ** argv) {
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string_process_escapes(buffer);
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}
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std::string user_inp = params.conversation
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bool format_chat = params.conversation && params.enable_chat_template;
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std::string user_inp = format_chat
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? chat_add_and_format(model, chat_msgs, "user", std::move(buffer))
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: std::move(buffer);
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// TODO: one inconvenient of current chat template implementation is that we can't distinguish between user input and special tokens (prefix/postfix)
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const auto line_pfx = ::llama_tokenize(ctx, params.input_prefix, false, true);
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const auto line_inp = ::llama_tokenize(ctx, user_inp, false, params.conversation);
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const auto line_inp = ::llama_tokenize(ctx, user_inp, false, format_chat);
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const auto line_sfx = ::llama_tokenize(ctx, params.input_suffix, false, true);
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LOG("input tokens: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, line_inp).c_str());
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@ -142,9 +142,9 @@ int main(void) {
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std::cout << "fmt_single(" << tmpl << ")\n" << output << "\n-------------------------\n";
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return output;
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};
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assert(fmt_single("chatml") == "<|im_start|>user\nHow are you<|im_end|>\n<|im_start|>assistant\n");
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assert(fmt_single("chatml") == "\n<|im_start|>user\nHow are you<|im_end|>\n<|im_start|>assistant\n");
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assert(fmt_single("llama2") == "[INST] How are you [/INST]");
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assert(fmt_single("gemma") == "<start_of_turn>user\nHow are you<end_of_turn>\n<start_of_turn>model\n");
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assert(fmt_single("gemma") == "\n<start_of_turn>user\nHow are you<end_of_turn>\n<start_of_turn>model\n");
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assert(fmt_single("llama3") == "<|start_header_id|>user<|end_header_id|>\n\nHow are you<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n");
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return 0;
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