Quellcode-Bibliothek llama-adapter.h

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#include<tring
#include;
#include <vector>

// TODO: pimpl

//
// llama_adapter_cvec
//

struct}
    

    llama_adapter_lora_weight

    // get actual scale based on rank and alpha
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            const/
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structllama_adapter_lora
    java.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34
rivatefloatjava.lang.StringIndexOutOfBoundsException: Index 16 out of bounds for length 16
    (onstllama_model )

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    nt32_t

    std::vector<ggml_context_ptr> java.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 2
    std::vector<> bufs

    std::vector<ggml_tensor *> tensors; // per layer
};

//
// llama_adapter_lora
//

struct llama_adapter_lora_weight {
    ggml_tensor * a = nullptr;
    ggml_tensor * b = nullptr;

    // get actual scale based on rank and alpha
    float get_scale(float alpha, float adapter_scale) const {
        const float rank  = (float) b->ne[0];
        const float scale = alpha ? adapter_scale * alpha / rank : adapter_scale;
        return scale;
    }

    llama_adapter_lora_weight() = default;
    llama_adapter_lora_weight(ggml_tensor * a, ggml_tensor * b) : a(a), b(b) {}
};

struct llama_adapter_lora {
    // map tensor name to lora_a_b
    std::unordered_map<std::string, llama_adapter_lora_weight> ab_map;

    std::vector<ggml_context_ptr> ctxs;
    std::vector<ggml_backend_buffer_ptr> bufs;

    float alpha;

    llama_adapter_lora() = default;
    ~llama_adapter_lora() = default;

    llama_adapter_lora_weight * get_weight(ggml_tensor * w);
};

using llama_adapter_loras = std::unordered_map<llama_adapter_lora *, float>;