sampling: add Top-nσ sampler (#11223)

* initial sampling changes:

* completed top nsigma sampler implementation

* apply parameter to only llama-cli

* updated readme

* added tests and fixed nsigma impl

* cleaned up pr

* format

* format

* format

* removed commented tests

* cleanup pr and remove explicit floats

* added top-k sampler to improve performance

* changed sigma to float

* fixed string format to float

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update common/sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update src/llama-sampling.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* added llama_sampler_init

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Vinesh Janarthanan 2025-02-13 00:45:57 -06:00 committed by GitHub
parent e4376270d9
commit 27e8a23300
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7 changed files with 147 additions and 40 deletions

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@ -140,6 +140,7 @@ struct common_params_sampling {
int32_t dry_allowed_length = 2; // tokens extending repetitions beyond this receive penalty
int32_t dry_penalty_last_n = -1; // how many tokens to scan for repetitions (0 = disable penalty, -1 = context size)
int32_t mirostat = 0; // 0 = disabled, 1 = mirostat, 2 = mirostat 2.0
float top_n_sigma = -1.00f;// -1.0 = disabled
float mirostat_tau = 5.00f; // target entropy
float mirostat_eta = 0.10f; // learning rate
bool ignore_eos = false;