llama : add support for control vectors (#5970)
* control vector api and implementation * control-vectors : minor code style updates * disable control vector when data == nullptr use -1 for disabled range (also on init) in case we ever support controlling layer 0 (embeddings) --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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4 changed files with 392 additions and 5 deletions
23
llama.h
23
llama.h
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@ -388,6 +388,7 @@ extern "C" {
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LLAMA_API int32_t llama_n_vocab (const struct llama_model * model);
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LLAMA_API int32_t llama_n_ctx_train(const struct llama_model * model);
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LLAMA_API int32_t llama_n_embd (const struct llama_model * model);
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LLAMA_API int32_t llama_n_layer (const struct llama_model * model);
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// Get the model's RoPE frequency scaling factor
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LLAMA_API float llama_rope_freq_scale_train(const struct llama_model * model);
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@ -435,10 +436,24 @@ extern "C" {
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// Returns 0 on success
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LLAMA_API int32_t llama_model_apply_lora_from_file(
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const struct llama_model * model,
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const char * path_lora,
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float scale,
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const char * path_base_model,
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int32_t n_threads);
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const char * path_lora,
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float scale,
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const char * path_base_model,
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int32_t n_threads);
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// Apply a loaded control vector to a llama_context, or if data is NULL, clear
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// the currently loaded vector.
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// n_embd should be the size of a single layer's control, and data should point
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// to an n_embd x n_layers buffer starting from layer 1.
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// il_start and il_end are the layer range the vector should apply to (both inclusive)
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// See llama_control_vector_load in common to load a control vector.
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LLAMA_API int32_t llama_control_vector_apply(
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struct llama_context * lctx,
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const float * data,
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size_t len,
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int32_t n_embd,
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int32_t il_start,
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int32_t il_end);
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//
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// KV cache
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