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
- [Doc]: INT8 weight-only quantization causes 4x throughput regression at batch=1 on memory-bandwidth-bound GPUs
- [RFC]: Debug observation for prefix-cache lookup boundary before request-level stats
- [Bug]: qwen3_xml tool parser emits invalid JSON for multiple <function=...> blocks inside one <tool_call>
- [EPLB] Publish token routing statistics to prometheus
- [Bug][Spec Decode][Multimodal] EAGLE FULL prefill CUDA graph drops mm_inputs
- [New Model]: Gemma4ForSequenceClassification
- [DSv4] [SM 12.0] fp8_einsum has no SM 12.0 fallback — blocks mainline serve on consumer Blackwell (follow-up to #41834)
- [Performance]: DeepSeek-V4-Pro 128K+ timeout on deepseekv4-cu130; nightly aa2b56f completes 1M real-prose checks on 8x B200
- [ROCM] Fix the AITER FA SWA Decode Path
- [Bugfix] Dereference $ref and flatten anyOf in tool schemas before chat templates
- Docs
- Python not yet supported