Felipe97/llama-cpp-compiled

1#pragma once2 3#include "llama.h"4 5#include <cstdint>6#include <vector>7 8#define LLAMA_MAX_SEQ 2569 10struct llama_cparams {11    uint32_t n_ctx;           // context size used during inference12    uint32_t n_ctx_seq;       // context for a single sequence13    uint32_t n_batch;14    uint32_t n_ubatch;15    uint32_t n_seq_max;16    uint32_t n_rs_seq;        // number of recurrent-state snapshots per seq for rollback17    uint32_t n_outputs_max;   // max outputs supported by the context18    uint32_t n_outputs_max_per_seq;19    int32_t  n_threads;       // number of threads to use for generation20    int32_t  n_threads_batch; // number of threads to use for batch processing21 22    int32_t  nextn_layer_offset = 0;23 24    float rope_freq_base;25    float rope_freq_scale;26 27    uint32_t n_ctx_orig_yarn;28    // These hyperparameters are not exposed in GGUF, because all29    // existing YaRN models use the same values for them.30    float yarn_ext_factor;31    float yarn_attn_factor;32    float yarn_beta_fast;33    float yarn_beta_slow;34 35    bool embeddings;36    bool embeddings_nextn;        // also extract the hidden state before the final output norm37    bool embeddings_nextn_masked; // extract for only rows where batch.logits != 038    bool causal_attn;39    bool offload_kqv;40    bool flash_attn;41    bool auto_fa;42    bool fused_gdn_ar;       // use fused gated delta net (autoregressive)43    bool fused_gdn_ch;       // use fused gated delta net (chunked)44    bool auto_fgdn;45    bool fused_lid;          // use fused lightning indexer46    bool auto_flid;47    bool fused_dsv4_hc_pre;48    bool fused_dsv4_hc_comb;49    bool fused_dsv4_hc_post;50    bool auto_fhc;51    bool no_perf;52    bool warmup;             // TODO: remove [TAG_LLAMA_GRAPH_NO_WARMUP]53    bool op_offload;54    bool kv_unified;55    bool pipeline_parallel;56 57    std::vector<bool> embeddings_layer_inp; // [n_layer()] extract input embeddings for layer58 59    enum llama_context_type ctx_type;60    enum llama_rope_scaling_type rope_scaling_type;61    enum llama_pooling_type pooling_type;62 63    ggml_backend_sched_eval_callback cb_eval;64    void * cb_eval_user_data;65 66    llama_context * ctx_other;67};68