mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-03 09:22:01 +00:00
70c29da118
* Fix mirostat state when using multiple sequences * Fix mirostat by completely refactoring sampling! * Try to fix zig build. * Export function to fetch/create default sampler states Code formatting cleanups and add some comments Silence a warning about id not being used when logging is disabled * Apply some renaming suggestions. Fix comments that were out of sync with the pull. * Use more consistant naming convention for sampling contexts
109 lines
4.4 KiB
C++
109 lines
4.4 KiB
C++
#pragma once
|
|
|
|
#include "llama.h"
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
#include <unordered_map>
|
|
|
|
// sampling parameters
|
|
typedef struct llama_sampling_params {
|
|
int32_t top_k = 40; // <= 0 to use vocab size
|
|
float top_p = 0.95f; // 1.0 = disabled
|
|
float tfs_z = 1.00f; // 1.0 = disabled
|
|
float typical_p = 1.00f; // 1.0 = disabled
|
|
float temp = 0.80f; // 1.0 = disabled
|
|
float repeat_penalty = 1.10f; // 1.0 = disabled
|
|
int32_t repeat_last_n = 64; // last n tokens to penalize (0 = disable penalty, -1 = context size)
|
|
float frequency_penalty = 0.00f; // 0.0 = disabled
|
|
float presence_penalty = 0.00f; // 0.0 = disabled
|
|
int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0
|
|
float mirostat_tau = 5.00f; // target entropy
|
|
float mirostat_eta = 0.10f; // learning rate
|
|
|
|
bool penalize_nl = true; // consider newlines as a repeatable token
|
|
|
|
int32_t n_probs = 0; // if greater than 0, output the probabilities of top n_probs tokens.
|
|
|
|
// Classifier-Free Guidance
|
|
// https://arxiv.org/abs/2306.17806
|
|
std::string cfg_negative_prompt; // string to help guidance
|
|
float cfg_scale = 1.f; // How strong is guidance
|
|
|
|
std::unordered_map<llama_token, float> logit_bias; // logit bias for specific tokens
|
|
|
|
} llama_sampling_params;
|
|
|
|
// per-sequence sampler context
|
|
typedef struct llama_sampler_sequence_context {
|
|
float mirostat_mu; // mirostat sampler state
|
|
llama_grammar * grammar;
|
|
} llama_sampler_sequence_context;
|
|
|
|
// general sampler context
|
|
typedef struct llama_sampling_context {
|
|
~llama_sampling_context();
|
|
|
|
// parameters that will be used for sampling and when creating
|
|
// new llama_sampler_sequence_context instances
|
|
llama_sampling_params params;
|
|
|
|
// map of sequence ids to sampler contexts
|
|
std::unordered_map<llama_seq_id, llama_sampler_sequence_context> sequence_contexts;
|
|
|
|
// when non-NULL, new instances of llama_sampler_sequence_context
|
|
// will get a copy of the grammar here
|
|
// note: only the pointer is stored here, it is not a copy of
|
|
// the grammar and shouldn't be freed
|
|
llama_grammar * grammar;
|
|
} llama_sampling_context;
|
|
|
|
#include "common.h"
|
|
|
|
// Create a new sampling context instance.
|
|
llama_sampling_context llama_sampling_context_init(
|
|
const struct gpt_params & params,
|
|
llama_grammar * grammar = NULL);
|
|
|
|
// Fetches the sampler context for the specified sequence id (defaults to 0).
|
|
// If the context for that sequence id doesn't already exist, it will be created with
|
|
// default values based on the parameters in the ctx_sampling argument.
|
|
llama_sampler_sequence_context & llama_sampling_get_sequence_context(
|
|
llama_sampling_context & ctx_sampling,
|
|
const llama_seq_id seq = 0);
|
|
|
|
// Reset the sampler context for the supplied sequence id (defaults to 0).
|
|
// This is necessary to reuse a sequence id or free memory used by sequences
|
|
// that are no longer required.
|
|
bool llama_sampling_context_reset(
|
|
llama_sampling_context & ctx_sampling,
|
|
const llama_seq_id seq = 0);
|
|
|
|
// this is a common sampling function used across the examples for convenience
|
|
// it can serve as a starting point for implementing your own sampling function
|
|
// Note: When using multiple sequences, it is the caller's responsibility to call
|
|
// llama_sampling_context_reset when a sequence ends
|
|
//
|
|
// required:
|
|
// - ctx: context to use for sampling
|
|
// - ctx_sampling: sampling-specific context
|
|
//
|
|
// optional:
|
|
// - ctx_guidance: context to use for classifier-free guidance, ignore if NULL
|
|
// - last_tokens: needed for repetition penalty, ignore if empty
|
|
// - idx: sample from llama_get_logits_ith(ctx, idx)
|
|
// - seq: sequence id to associate sampler state with
|
|
//
|
|
// returns:
|
|
// - token: sampled token
|
|
// - candidates: vector of candidate tokens
|
|
//
|
|
llama_token llama_sampling_sample(
|
|
struct llama_context * ctx,
|
|
struct llama_context * ctx_guidance,
|
|
struct llama_sampling_context & ctx_sampling,
|
|
const std::vector<llama_token> & last_tokens,
|
|
std::vector<llama_token_data> & candidates,
|
|
const int idx = 0,
|
|
llama_seq_id seq = 0);
|