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][AuxOutput] Add Profile-based indexer replay for sparse models
- [Feature][RL] Per-request opt-out from routed-expert capture
- [Bugfix][Compile] Preserve eager layouts for untagged custom ops
- [Bug][Rust Frontend] `/tokenize` returns 500 for invalid requests that the generation endpoints reject with 400
- [Perf][Tool Parser] Avoid O(N^2) partial JSON re-parsing on open string arguments
- [ROCm][CI] Bump the ROCm 10.0 image to torch 2.14
- [Bugfix][Reasoning] Accept all K2 Horizon end-of-thinking tags regardless of reasoning_effort
- [Doc] Use Qwen/Qwen3-0.6B instead of OPT in docs examples
- [Model][Quantization] Add BitNet b1.58 support
- [MM][CG] Support ViT full CUDA graph for Ovis2.5
- Docs
- Python not yet supported