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[Feature] support min_p_sampling (#2872)
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* Fastdeploy support min_p

* add test_min_p

* fix

* min_p_sampling

* update

* delete vl_gpu_model_runner.py

* fix

* Align usage of min_p with vLLM

* fix

* modified unit test

* fix test_min_sampling

* pre-commit all files

* fix

* fix

* fix

* fix xpu_model_runner.py
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lizexu123
2025-07-21 14:17:59 +08:00
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parent 95a214ae43
commit 67990e0572
15 changed files with 302 additions and 1 deletions
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docs/offline_inference.md
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@@ -180,6 +180,7 @@ For ```LLM``` configuration, refer to [Parameter Documentation](parameters.md).
* temperature(float): Controls randomness (higher = more random)
* top_p(float): Probability threshold for token selection
* top_k(int): Number of tokens considered for sampling
* min_p(float): Minimum probability relative to the maximum probability for a token to be considered (>0 filters low-probability tokens to improve quality)
* max_tokens(int): Maximum generated tokens (input + output)
* min_tokens(int): Minimum forced generation length