llama : add grammar-based sampling (#1773)
* llama, main : constrain sampling to grammar * allow loading grammar from file * fix whitespace errors * handle & print parser errors * add comments to grammar syntax and allow newlines where unambiguous * add missing include * support alternates in root rule * fix bugs with empty token and EOS * adjust JSON grammar * remove swp file * rewrite ternary expressions Co-authored-by: Henri Vasserman <henv@hot.ee> * use struct for grammar elements and add Unicode support * add unicode escapes * add inverse char ranges * only sample full tokens (no peeking or truncation) * llama : minor style changes blindly applied in online editor - hopefully I didn't break something * update help text * add warning message if EOS is disabled --------- Co-authored-by: Henri Vasserman <henv@hot.ee> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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llama.h
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llama.h
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@ -141,6 +141,40 @@ extern "C" {
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bool quantize_output_tensor; // quantize output.weight
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} llama_model_quantize_params;
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// grammar types
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struct llama_grammar;
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// grammar element type
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enum llama_gretype {
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// end of rule definition
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LLAMA_GRETYPE_END = 0,
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// start of alternate definition for rule
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LLAMA_GRETYPE_ALT = 1,
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// non-terminal element: reference to rule
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LLAMA_GRETYPE_RULE_REF = 2,
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// terminal element: character (code point)
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LLAMA_GRETYPE_CHAR = 3,
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// inverse char(s) ([^a], [^a-b] [^abc])
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LLAMA_GRETYPE_CHAR_NOT = 4,
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// modifies a preceding LLAMA_GRETYPE_CHAR or LLAMA_GRETYPE_CHAR_ALT to
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// be an inclusive range ([a-z])
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LLAMA_GRETYPE_CHAR_RNG_UPPER = 5,
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// modifies a preceding LLAMA_GRETYPE_CHAR or
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// LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
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LLAMA_GRETYPE_CHAR_ALT = 6,
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};
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typedef struct llama_grammar_element {
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enum llama_gretype type;
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uint32_t value; // Unicode code point or rule ID
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} llama_grammar_element;
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// performance timing information
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struct llama_timings {
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double t_start_ms;
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@ -333,6 +367,15 @@ extern "C" {
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LLAMA_API llama_token llama_token_eos(); // end-of-sentence
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LLAMA_API llama_token llama_token_nl(); // next-line
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// Grammar
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//
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LLAMA_API struct llama_grammar * llama_grammar_init(
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const llama_grammar_element ** rules,
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size_t n_rules,
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size_t start_rule_index);
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LLAMA_API void llama_grammar_free(struct llama_grammar * grammar);
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// Sampling functions
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/// @details Repetition penalty described in CTRL academic paper https://arxiv.org/abs/1909.05858, with negative logit fix.
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@ -367,6 +410,9 @@ extern "C" {
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LLAMA_API void llama_sample_typical(struct llama_context * ctx, llama_token_data_array * candidates, float p, size_t min_keep);
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LLAMA_API void llama_sample_temperature(struct llama_context * ctx, llama_token_data_array * candidates, float temp);
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/// @details Apply constraints from grammar
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LLAMA_API void llama_sample_grammar(struct llama_context * ctx, llama_token_data_array * candidates, const struct llama_grammar * grammar);
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/// @details Mirostat 1.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.
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/// @param candidates A vector of `llama_token_data` containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.
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/// @param tau The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.
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@ -388,6 +434,9 @@ extern "C" {
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/// @details Randomly selects a token from the candidates based on their probabilities.
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LLAMA_API llama_token llama_sample_token(struct llama_context * ctx, llama_token_data_array * candidates);
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/// @details Accepts the sampled token into the grammar
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LLAMA_API void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar * grammar, llama_token token);
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// Performance information
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LLAMA_API struct llama_timings llama_get_timings(struct llama_context * ctx);
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LLAMA_API void llama_print_timings(struct llama_context * ctx);
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