binding.h

#ifdef __cplusplus
#include <vector>
#include <string>
extern "C"
{
#endif

#include <stdbool.h>

    extern unsigned char tokenCallback(void *, char *);

    int load_state(void *ctx, char *statefile, char *modes);

    int eval(void *params_ptr, void *ctx, char *text);

    void save_state(void *ctx, char *dst, char *modes);

    void *load_model(const char *fname, int n_ctx, int n_seed, bool memory_f16, bool mlock, bool embeddings, bool mmap, bool low_vram, bool vocab_only, int n_gpu, int n_batch, const char *maingpu, const char *tensorsplit, bool numa);

    int get_embeddings(void *params_ptr, void *state_pr, float *res_embeddings);

    int get_token_embeddings(void *params_ptr, void *state_pr, int *tokens, int tokenSize, float *res_embeddings);

    void *llama_allocate_params(const char *prompt, int seed, int threads, int tokens,
                                int top_k, float top_p, float temp, float repeat_penalty,
                                int repeat_last_n, bool ignore_eos, bool memory_f16,
                                int n_batch, int n_keep, const char **antiprompt, int antiprompt_count,
                                float tfs_z, float typical_p, float frequency_penalty, float presence_penalty, int mirostat, float mirostat_eta, float mirostat_tau, bool penalize_nl, const char *logit_bias, const char *session_file, bool prompt_cache_all, bool mlock, bool mmap, const char *maingpu, const char *tensorsplit, bool prompt_cache_ro);

    void llama_free_params(void *params_ptr);

    void llama_binding_free_model(void *state);

    int llama_predict(void *params_ptr, void *state_pr, char **result, bool debug);

#ifdef __cplusplus
}

std::vector<std::string> create_vector(const char **strings, int count);
void delete_vector(std::vector<std::string> *vec);
#endif