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https://github.com/ggerganov/whisper.cpp.git
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talk-llama : sync llama.cpp
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@ -102,6 +102,7 @@ extern "C" {
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LLAMA_VOCAB_PRE_TYPE_BLOOM = 23,
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LLAMA_VOCAB_PRE_TYPE_GPT3_FINNISH = 24,
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LLAMA_VOCAB_PRE_TYPE_EXAONE = 25,
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LLAMA_VOCAB_PRE_TYPE_CHAMELEON = 26,
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};
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enum llama_rope_type {
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@ -192,6 +193,7 @@ extern "C" {
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LLAMA_POOLING_TYPE_MEAN = 1,
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LLAMA_POOLING_TYPE_CLS = 2,
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LLAMA_POOLING_TYPE_LAST = 3,
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LLAMA_POOLING_TYPE_RANK = 4, // used by reranking models to attach the classification head to the graph
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};
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enum llama_attention_type {
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@ -201,9 +203,9 @@ extern "C" {
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};
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enum llama_split_mode {
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LLAMA_SPLIT_MODE_NONE = 0, // single GPU
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LLAMA_SPLIT_MODE_LAYER = 1, // split layers and KV across GPUs
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LLAMA_SPLIT_MODE_ROW = 2, // split rows across GPUs
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LLAMA_SPLIT_MODE_NONE = 0, // single GPU
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LLAMA_SPLIT_MODE_LAYER = 1, // split layers and KV across GPUs
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LLAMA_SPLIT_MODE_ROW = 2, // split rows across GPUs
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};
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// TODO: simplify (https://github.com/ggerganov/llama.cpp/pull/9294#pullrequestreview-2286561979)
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@ -871,7 +873,8 @@ extern "C" {
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// Get the embeddings for a sequence id
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// Returns NULL if pooling_type is LLAMA_POOLING_TYPE_NONE
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// shape: [n_embd] (1-dimensional)
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// when pooling_type == LLAMA_POOLING_TYPE_RANK, returns float[1] with the rank of the sequence
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// otherwise: float[n_embd] (1-dimensional)
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LLAMA_API float * llama_get_embeddings_seq(struct llama_context * ctx, llama_seq_id seq_id);
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//
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@ -910,6 +913,8 @@ extern "C" {
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//
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// Tokenization
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//
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// The API is thread-safe.
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//
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/// @details Convert the provided text into tokens.
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/// @param tokens The tokens pointer must be large enough to hold the resulting tokens.
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