vbatts/llama.cpp
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llama : restore comments in llama.h

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ggml-ci
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Georgi Gerganov 2024-09-05 10:38:31 +03:00
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commit a2d8b27a4b
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include/llama.h
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@ -1046,13 +1046,26 @@ extern "C" {
llama_constraint_context_t ctx;
};
/// @details Sorts candidate tokens by their logits in descending order and calculate probabilities based on logits.
LLAMA_API struct llama_constraint * llama_constraint_init_softmax (void);
/// @details Top-K sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751
LLAMA_API struct llama_constraint * llama_constraint_init_top_k (int32_t k);
/// @details Nucleus sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751
LLAMA_API struct llama_constraint * llama_constraint_init_top_p (float p, int32_t min_keep);
/// @details Minimum P sampling as described in https://github.com/ggerganov/llama.cpp/pull/3841
LLAMA_API struct llama_constraint * llama_constraint_init_min_p (float p, int32_t min_keep);
/// @details Tail Free Sampling described in https://www.trentonbricken.com/Tail-Free-Sampling/.
LLAMA_API struct llama_constraint * llama_constraint_init_tail_free (float z, int32_t min_keep);
/// @details Locally Typical Sampling implementation described in the paper https://arxiv.org/abs/2202.00666.
LLAMA_API struct llama_constraint * llama_constraint_init_typical (float p, int32_t min_keep);
LLAMA_API struct llama_constraint * llama_constraint_init_temp (float t);
/// @details Dynamic temperature implementation (a.k.a. entropy) described in the paper https://arxiv.org/abs/2309.02772.
LLAMA_API struct llama_constraint * llama_constraint_init_temp_ext (float t, float delta, float exponent);
/// @details Mirostat 1.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.