// Various helper functions and utilities #pragma once #include "llama.h" #include #include #include #include // // CLI argument parsing // struct gpt_params { int32_t seed = -1; // RNG seed int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency()); // max 4 threads (default) int32_t n_predict = 128; // new tokens to predict int32_t repeat_last_n = 64; // last n tokens to penalize int32_t n_parts = -1; // amount of model parts (-1 = determine from model dimensions) int32_t n_ctx = 512; // context size int32_t n_batch = 8; // batch size for prompt processing int32_t n_keep = 0; // number of tokens to keep from initial prompt (-1 for all) // sampling parameters int32_t top_k = 40; float top_p = 0.95f; float temp = 0.80f; float repeat_penalty = 1.10f; std::string model = "models/lamma-7B/ggml-model.bin"; // model path std::string prompt = ""; std::string input_prefix = ""; // string to prefix user inputs with std::string instruct_prefix = ""; // prefix user inputs with tokenized string bool instruct_prefix_bos = false; // prepend bos token to instruct prefix std::string instruct_suffix = ""; // suffix user inputs with tokenized string bool instruct_suffix_bos = false; // prepend bos token to instruct suffix std::vector antiprompt; // string upon seeing which more user input is prompted std::vector stopprompt; // string upon seeing which more user input is prompted (without adding instruct prefixes and suffixes) bool rm_trailing_space_workaround = false; // workaround for removing trailing space from reverse/stop prompts bool memory_f16 = true; // use f16 instead of f32 for memory kv bool random_prompt = false; // do not randomize prompt if none provided bool use_color = false; // use color to distinguish generations and inputs bool interactive = false; // interactive mode bool embedding = false; // get only sentence embedding bool interactive_start = false; // wait for user input immediately bool instruct = false; // instruction mode (used for Alpaca models) bool ignore_eos = false; // do not stop generating after eos bool perplexity = false; // compute perplexity over the prompt bool use_mmap = true; // use mmap for faster loads bool use_mlock = false; // use mlock to keep model in memory bool mem_test = false; // compute maximum memory usage bool verbose_prompt = false; // print prompt tokens before generation bool clean_interface = false; // hides input prefix & suffix and displays '>' bool multiline_mode = true; // enables multi-line mode, to send input press CTRL+D on Linux/Max, Ctrl+Z then Return on Windows }; bool gpt_params_parse(int argc, char ** argv, gpt_params & params); void gpt_print_usage(char * argv_0, const gpt_params & params); std::string gpt_random_prompt(std::mt19937 & rng); // // Vocab utils // std::vector llama_tokenize(struct llama_context * ctx, const std::string & text, bool add_bos); // // Console utils // #define ANSI_COLOR_RED "\x1b[31m" #define ANSI_COLOR_GREEN "\x1b[32m" #define ANSI_COLOR_YELLOW "\x1b[33m" #define ANSI_COLOR_BLUE "\x1b[34m" #define ANSI_COLOR_MAGENTA "\x1b[35m" #define ANSI_COLOR_CYAN "\x1b[36m" #define ANSI_COLOR_RESET "\x1b[0m" #define ANSI_BOLD "\x1b[1m" enum console_color_t { CONSOLE_COLOR_DEFAULT=0, CONSOLE_COLOR_PROMPT, CONSOLE_COLOR_USER_INPUT }; struct console_state { bool use_color = false; console_color_t color = CONSOLE_COLOR_DEFAULT; }; void set_console_color(console_state & con_st, console_color_t color); #if defined (_WIN32) void win32_console_init(bool enable_color); void win32_utf8_encode(const std::wstring & wstr, std::string & str); #endif bool get_input_text(std::string & input_text, bool escape_newline_mode);