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
- [Bug]: Qwen3-VL-235B-A22B-Instruct-FP8 tools doesn't respond in the tools but in content for hermes parswer
- [Core] Add per-request speculative decoding statistics to RequestOutput
- [Feature]: About video input for qwen3vl
- [Bug]: 5090 RTX seems to be broken
- [Bug]/[Feature]:NIXL Disaggregated Serving Fails with Pipeline Parallelism (PP > 1)
- [Kernel] add H100 triton fused moe config for FP8 Qwen3MoE
- [CI] Speed up sequence parallel tests
- [Quantization] Pass `QuantizationArgs` to compress-tensors schema's get_min_capability
- [Bugfix] Improve DCP error hint in cp_utils
- [Docs] Add FlashInfer environment variables to env_vars documentation
- Docs
- Python not yet supported