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
- Validate cache salts before they reach LMCache
- Use server-generated keys for late-interaction query caches
- Confine connector cache files to shared storage
- Bound request-controlled image and video geometry
- Keep invalid structured-output requests from stopping the engine
- [Bug]: online FP8 (--quantization fp8) produces corrupted, non-EOS-terminating output on Qwen2.5-1.5B-Instruct
- [Bugfix][Spec Decode] Fix DSD K-lookup to count sampling-only requests, preventing K thrashing at batch boundaries
- [Bug]: DeepSeek-V4-Flash-0731 `response_format` (structured output) crashes the vLLM EngineCore — `apply_grammar_bitmask` tensor size mismatch (4040 vs 4041)
- [Bugfix][Rust Frontend] Avoid abort on empty prompt logprobs
- Add distributed LegoMem KV offload benchmark
- Docs
- Python not yet supported