gpt4all/llmodel/llmodel_c.h
Adam Treat f291853e51 First attempt at providing a persistent chat list experience.
Limitations:

1) Context is not restored for gpt-j models
2) When you switch between different model types in an existing chat
   the context and all the conversation is lost
3) The settings are not chat or conversation specific
4) The sizes of the chat persisted files are very large due to how much
   data the llama.cpp backend tries to persist. Need to investigate how
   we can shrink this.
2023-05-04 15:31:41 -04:00

161 lines
5.6 KiB
C

#ifndef LLMODEL_C_H
#define LLMODEL_C_H
#include <stdint.h>
#include <stddef.h>
#include <stdbool.h>
#ifdef __cplusplus
extern "C" {
#endif
/**
* Opaque pointer to the underlying model.
*/
typedef void *llmodel_model;
/**
* llmodel_prompt_context structure for holding the prompt context.
* NOTE: The implementation takes care of all the memory handling of the raw logits pointer and the
* raw tokens pointer. Attempting to resize them or modify them in any way can lead to undefined
* behavior.
*/
typedef struct {
float *logits; // logits of current context
size_t logits_size; // the size of the raw logits vector
int32_t *tokens; // current tokens in the context window
size_t tokens_size; // the size of the raw tokens vector
int32_t n_past; // number of tokens in past conversation
int32_t n_ctx; // number of tokens possible in context window
int32_t n_predict; // number of tokens to predict
int32_t top_k; // top k logits to sample from
float top_p; // nucleus sampling probability threshold
float temp; // temperature to adjust model's output distribution
int32_t n_batch; // number of predictions to generate in parallel
float repeat_penalty; // penalty factor for repeated tokens
int32_t repeat_last_n; // last n tokens to penalize
float context_erase; // percent of context to erase if we exceed the context window
} llmodel_prompt_context;
/**
* Callback type for prompt processing.
* @param token_id The token id of the prompt.
* @return a bool indicating whether the model should keep processing.
*/
typedef bool (*llmodel_prompt_callback)(int32_t token_id);
/**
* Callback type for response.
* @param token_id The token id of the response.
* @param response The response string. NOTE: a token_id of -1 indicates the string is an error string.
* @return a bool indicating whether the model should keep generating.
*/
typedef bool (*llmodel_response_callback)(int32_t token_id, const char *response);
/**
* Callback type for recalculation of context.
* @param whether the model is recalculating the context.
* @return a bool indicating whether the model should keep generating.
*/
typedef bool (*llmodel_recalculate_callback)(bool is_recalculating);
/**
* Create a GPTJ instance.
* @return A pointer to the GPTJ instance.
*/
llmodel_model llmodel_gptj_create();
/**
* Destroy a GPTJ instance.
* @param gptj A pointer to the GPTJ instance.
*/
void llmodel_gptj_destroy(llmodel_model gptj);
/**
* Create a LLAMA instance.
* @return A pointer to the LLAMA instance.
*/
llmodel_model llmodel_llama_create();
/**
* Destroy a LLAMA instance.
* @param llama A pointer to the LLAMA instance.
*/
void llmodel_llama_destroy(llmodel_model llama);
/**
* Load a model from a file.
* @param model A pointer to the llmodel_model instance.
* @param model_path A string representing the path to the model file.
* @return true if the model was loaded successfully, false otherwise.
*/
bool llmodel_loadModel(llmodel_model model, const char *model_path);
/**
* Check if a model is loaded.
* @param model A pointer to the llmodel_model instance.
* @return true if the model is loaded, false otherwise.
*/
bool llmodel_isModelLoaded(llmodel_model model);
/**
* Get the size of the internal state of the model.
* NOTE: This state data is specific to the type of model you have created.
* @param model A pointer to the llmodel_model instance.
* @return the size in bytes of the internal state of the model
*/
uint64_t llmodel_get_state_size(llmodel_model model);
/**
* Saves the internal state of the model to the specified destination address.
* NOTE: This state data is specific to the type of model you have created.
* @param model A pointer to the llmodel_model instance.
* @param dest A pointer to the destination.
* @return the number of bytes copied
*/
uint64_t llmodel_save_state_data(llmodel_model model, uint8_t *dest);
/**
* Restores the internal state of the model using data from the specified address.
* NOTE: This state data is specific to the type of model you have created.
* @param model A pointer to the llmodel_model instance.
* @param src A pointer to the src.
* @return the number of bytes read
*/
uint64_t llmodel_restore_state_data(llmodel_model model, const uint8_t *src);
/**
* Generate a response using the model.
* @param model A pointer to the llmodel_model instance.
* @param prompt A string representing the input prompt.
* @param prompt_callback A callback function for handling the processing of prompt.
* @param response_callback A callback function for handling the generated response.
* @param recalculate_callback A callback function for handling recalculation requests.
* @param ctx A pointer to the llmodel_prompt_context structure.
*/
void llmodel_prompt(llmodel_model model, const char *prompt,
llmodel_response_callback prompt_callback,
llmodel_response_callback response_callback,
llmodel_recalculate_callback recalculate_callback,
llmodel_prompt_context *ctx);
/**
* Set the number of threads to be used by the model.
* @param model A pointer to the llmodel_model instance.
* @param n_threads The number of threads to be used.
*/
void llmodel_setThreadCount(llmodel_model model, int32_t n_threads);
/**
* Get the number of threads currently being used by the model.
* @param model A pointer to the llmodel_model instance.
* @return The number of threads currently being used.
*/
int32_t llmodel_threadCount(llmodel_model model);
#ifdef __cplusplus
}
#endif
#endif // LLMODEL_C_H