mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-04 12:00:10 +00:00
b19a3e5b2c
most of these can just shortcut out of the model loading logic llama is a bit worse to deal with because we submodule it so I have to at least parse the hparams, and then I just use the size on disk as an estimate for the mem size (which seems reasonable since we mmap() the llama files anyway)
207 lines
7.6 KiB
C
207 lines
7.6 KiB
C
#ifndef LLMODEL_C_H
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#define LLMODEL_C_H
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#include <stdint.h>
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#include <stddef.h>
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#include <stdbool.h>
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#ifdef __GNUC__
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#define DEPRECATED __attribute__ ((deprecated))
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#elif defined(_MSC_VER)
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#define DEPRECATED __declspec(deprecated)
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#else
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#pragma message("WARNING: You need to implement DEPRECATED for this compiler")
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#define DEPRECATED
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#endif
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#ifdef __cplusplus
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extern "C" {
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#endif
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/**
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* Opaque pointer to the underlying model.
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*/
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typedef void *llmodel_model;
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/**
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* Structure containing any errors that may eventually occur
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*/
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struct llmodel_error {
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const char *message; // Human readable error description; Thread-local; guaranteed to survive until next llmodel C API call
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int code; // errno; 0 if none
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};
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#ifndef __cplusplus
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typedef struct llmodel_error llmodel_error;
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#endif
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/**
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* llmodel_prompt_context structure for holding the prompt context.
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* NOTE: The implementation takes care of all the memory handling of the raw logits pointer and the
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* raw tokens pointer. Attempting to resize them or modify them in any way can lead to undefined
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* behavior.
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*/
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struct llmodel_prompt_context {
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float *logits; // logits of current context
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size_t logits_size; // the size of the raw logits vector
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int32_t *tokens; // current tokens in the context window
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size_t tokens_size; // the size of the raw tokens vector
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int32_t n_past; // number of tokens in past conversation
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int32_t n_ctx; // number of tokens possible in context window
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int32_t n_predict; // number of tokens to predict
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int32_t top_k; // top k logits to sample from
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float top_p; // nucleus sampling probability threshold
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float temp; // temperature to adjust model's output distribution
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int32_t n_batch; // number of predictions to generate in parallel
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float repeat_penalty; // penalty factor for repeated tokens
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int32_t repeat_last_n; // last n tokens to penalize
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float context_erase; // percent of context to erase if we exceed the context window
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};
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#ifndef __cplusplus
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typedef struct llmodel_prompt_context llmodel_prompt_context;
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#endif
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/**
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* Callback type for prompt processing.
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* @param token_id The token id of the prompt.
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* @return a bool indicating whether the model should keep processing.
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*/
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typedef bool (*llmodel_prompt_callback)(int32_t token_id);
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/**
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* Callback type for response.
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* @param token_id The token id of the response.
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* @param response The response string. NOTE: a token_id of -1 indicates the string is an error string.
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* @return a bool indicating whether the model should keep generating.
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*/
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typedef bool (*llmodel_response_callback)(int32_t token_id, const char *response);
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/**
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* Callback type for recalculation of context.
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* @param whether the model is recalculating the context.
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* @return a bool indicating whether the model should keep generating.
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*/
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typedef bool (*llmodel_recalculate_callback)(bool is_recalculating);
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/**
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* Create a llmodel instance.
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* Recognises correct model type from file at model_path
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* @param model_path A string representing the path to the model file.
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* @return A pointer to the llmodel_model instance; NULL on error.
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*/
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DEPRECATED llmodel_model llmodel_model_create(const char *model_path);
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/**
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* Create a llmodel instance.
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* Recognises correct model type from file at model_path
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* @param model_path A string representing the path to the model file; will only be used to detect model type.
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* @param build_variant A string representing the implementation to use (auto, default, avxonly, ...),
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* @param error A pointer to a llmodel_error; will only be set on error.
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* @return A pointer to the llmodel_model instance; NULL on error.
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*/
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llmodel_model llmodel_model_create2(const char *model_path, const char *build_variant, llmodel_error *error);
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/**
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* Destroy a llmodel instance.
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* Recognises correct model type using type info
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* @param model a pointer to a llmodel_model instance.
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*/
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void llmodel_model_destroy(llmodel_model model);
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/**
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* Estimate RAM requirement for a model file
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* @param model A pointer to the llmodel_model instance.
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* @param model_path A string representing the path to the model file.
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* @return size greater than 0 if the model was parsed successfully, 0 if file could not be parsed.
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*/
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size_t llmodel_required_mem(llmodel_model model, const char *model_path);
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/**
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* Load a model from a file.
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* @param model A pointer to the llmodel_model instance.
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* @param model_path A string representing the path to the model file.
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* @return true if the model was loaded successfully, false otherwise.
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*/
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bool llmodel_loadModel(llmodel_model model, const char *model_path);
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/**
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* Check if a model is loaded.
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* @param model A pointer to the llmodel_model instance.
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* @return true if the model is loaded, false otherwise.
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*/
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bool llmodel_isModelLoaded(llmodel_model model);
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/**
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* Get the size of the internal state of the model.
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* NOTE: This state data is specific to the type of model you have created.
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* @param model A pointer to the llmodel_model instance.
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* @return the size in bytes of the internal state of the model
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*/
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uint64_t llmodel_get_state_size(llmodel_model model);
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/**
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* Saves the internal state of the model to the specified destination address.
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* NOTE: This state data is specific to the type of model you have created.
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* @param model A pointer to the llmodel_model instance.
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* @param dest A pointer to the destination.
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* @return the number of bytes copied
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*/
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uint64_t llmodel_save_state_data(llmodel_model model, uint8_t *dest);
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/**
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* Restores the internal state of the model using data from the specified address.
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* NOTE: This state data is specific to the type of model you have created.
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* @param model A pointer to the llmodel_model instance.
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* @param src A pointer to the src.
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* @return the number of bytes read
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*/
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uint64_t llmodel_restore_state_data(llmodel_model model, const uint8_t *src);
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/**
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* Generate a response using the model.
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* @param model A pointer to the llmodel_model instance.
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* @param prompt A string representing the input prompt.
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* @param prompt_callback A callback function for handling the processing of prompt.
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* @param response_callback A callback function for handling the generated response.
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* @param recalculate_callback A callback function for handling recalculation requests.
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* @param ctx A pointer to the llmodel_prompt_context structure.
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*/
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void llmodel_prompt(llmodel_model model, const char *prompt,
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llmodel_prompt_callback prompt_callback,
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llmodel_response_callback response_callback,
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llmodel_recalculate_callback recalculate_callback,
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llmodel_prompt_context *ctx);
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/**
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* Set the number of threads to be used by the model.
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* @param model A pointer to the llmodel_model instance.
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* @param n_threads The number of threads to be used.
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*/
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void llmodel_setThreadCount(llmodel_model model, int32_t n_threads);
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/**
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* Get the number of threads currently being used by the model.
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* @param model A pointer to the llmodel_model instance.
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* @return The number of threads currently being used.
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*/
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int32_t llmodel_threadCount(llmodel_model model);
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/**
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* Set llmodel implementation search path.
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* Default is "."
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* @param path The path to the llmodel implementation shared objects. This can be a single path or
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* a list of paths separated by ';' delimiter.
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*/
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void llmodel_set_implementation_search_path(const char *path);
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/**
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* Get llmodel implementation search path.
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* @return The current search path; lifetime ends on next set llmodel_set_implementation_search_path() call.
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*/
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const char *llmodel_get_implementation_search_path();
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#ifdef __cplusplus
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}
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#endif
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#endif // LLMODEL_C_H
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