vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Feature][Frontend] Add opt-in chat message truncation
- [Bugfix][Helm] Add startup probe for slow model initialization
- [ROCm][Perf][GLM-5.3-Flash]: Remove cpy after _rocm_sparse_attn_prefill_ragged_triton
- [Feature][MoE] Collect expert distributions with or without EPLB
- [Bugfix] Fix resumable request + async scheduling handoff race
- [Performance]: multimodal preprocessing is single-threaded per API server; a wider thread pool does not help (GIL) — process pool for _mm_executor?
- [Bugfix][Model Loader] Keep the weight lock file name within the 255-byte limit
- [Core][ROCm][Perf] Kimi-K3 enable prefill checkpoints on ROCm and fix prefix cache accounting
- [Bug]: thinking_token_budget: generation collapses into a repetition loop exactly at budget exhaustion
- [Bug]: Promoted partial prefix-cache entries reference a parent hash removed in the same batch
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