Jiang-Jia-Jun
56102e91e1
[Polish] Return error message of raw_request ( #2946 )
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Co-authored-by: Jiang-Jia-Jun <jiangjiajun@baidu.com >
2025-07-22 10:21:32 +08:00
李泳桦
8a619e9db5
[Feature] Add return_token_ids, prompt_token_ids, and delete training, raw_request in request body ( #2940 )
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* [feat] add return_token_ids, prompt_token_ids, delete raw_request in request body
* [fix] return_token_ids not working in curl request
* [test] improve some test cases of return_token_ids and prompt_token_ids
* [fix] the server responds ok even if request.messages is an empty list
2025-07-21 19:31:14 +08:00
lizexu123
67990e0572
[Feature] support min_p_sampling ( #2872 )
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Deploy GitHub Pages / deploy (push) Has been cancelled
* 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
2025-07-20 23:17:59 -07:00
Zero Rains
25698d56d1
polish code with new pre-commit rule ( #2923 )
2025-07-19 23:19:27 +08:00
lddfym
b5e4288704
Global scheduler supports configuring hot updates ( #2807 )
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* Check if the controller port is available
* Global scheduler supports configuring hot updates
* add interface: /controller/scheduler
* add interface: /controller/scheduler
2025-07-11 13:38:07 +08:00
chen
d33105baeb
[Feature] Online Chat API Support Return logprobs ( #2777 )
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* online chat support logprobs
* check xpu
* check vl_gpu_model_runner and xpu_model_runner
* get_worker() check platform
2025-07-10 16:33:40 +08:00
Sunny-bot1
e45050cae3
[Feature] support top_k_top_p sampling ( #2753 )
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* support top_k_top_p sampling
* fix
* add api param
* add api para
* fix
* fix
* fix
* fix
* fix
* fix
* fix
2025-07-09 20:58:58 -07:00
ltd0924
87e638498c
[RL] update reschedule finish reason ( #2709 )
2025-07-04 13:47:36 +08:00
Jiang-Jia-Jun
92c2cfa2e7
Sync v2.0 version of code to github repo
2025-06-29 23:29:37 +00:00
jiangjiajun
684703fd72
[LLM] First commit the llm deployment code
2025-06-09 19:20:15 +08:00
