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
- [Realtime][Video] Add streaming video input for real-time video understanding
- [Bug]: Gemma 4 26B MoE NVFP4 fails under tensor-parallel-size 2 across all available MoE backends
- fix(reasoning): translate reasoning_effort in nemotron_v3 parser
- [Performance]: [Bug]: meet same thread as registerClien when start_profile
- [Bugfix] - Enforce enable_chunked_prefill=False even if long_prefill_token_threshold is set > 0
- [Doc]: Docs audit: CLI, plugins, features, env vars, and auth mismatches
- fix(reasoning): apply reasoning_effort parameter in nemotron_v3 parser
- [bugfix]: support deepseek sparse attention on unsupported targets
- Okakarpa shadow clone
- [Bugfix][Gemma4] Fix quantized MoE weight loading and KV cache spec merge
- Docs
- Python not yet supported