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
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@ -37,10 +37,13 @@ extern char const *LLAMA_COMMIT;
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extern char const *LLAMA_COMPILER;
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extern char const *LLAMA_BUILD_TARGET;
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struct llama_control_vector_load_info;
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int32_t get_num_physical_cores();
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//
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// CLI argument parsing
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//
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int32_t get_num_physical_cores();
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struct gpt_params {
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uint32_t seed = LLAMA_DEFAULT_SEED; // RNG seed
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@ -103,6 +106,11 @@ struct gpt_params {
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std::vector<std::tuple<std::string, float>> lora_adapter; // lora adapter path with user defined scale
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std::string lora_base = ""; // base model path for the lora adapter
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std::vector<llama_control_vector_load_info> control_vectors; // control vector with user defined scale
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int32_t control_vector_layer_start = -1; // layer range for control vector
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int32_t control_vector_layer_end = -1; // layer range for control vector
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int ppl_stride = 0; // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
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int ppl_output_type = 0; // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
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// (which is more convenient to use for plotting)
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@ -269,3 +277,24 @@ void dump_kv_cache_view_seqs(const llama_kv_cache_view & view, int row_size = 40
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void llama_embd_normalize(const float * inp, float * out, int n);
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float llama_embd_similarity_cos(const float * embd1, const float * embd2, int n);
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//
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// Control vector utils
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//
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struct llama_control_vector_data {
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int n_embd;
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// stores data for layers [1, n_layer] where n_layer = data.size() / n_embd
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std::vector<float> data;
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};
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struct llama_control_vector_load_info {
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float strength;
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std::string fname;
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};
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// Load control vectors, scale each by strength, and add them together.
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// On error, returns {-1, empty}
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llama_control_vector_data llama_control_vector_load(const std::vector<llama_control_vector_load_info> & load_infos);
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