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] Expand PTX toolchain mismatch troubleshooting
- [Feature] Add Prometheus metrics for multimodal preprocessing pipeline
- [Bug]: Single-GPU B300 intermittently hard-hangs under concurrency with SM at 100% and throughput at 0 (v0.25.1)
- [Bug]: MiniMax-M3 fp8 KV cache on SM80 (A100/A800): coherent with --enforce-eager, garbage under CUDA graphs — root cause + working fix
- [Bugfix] MiniMax-M3 fp8_e5m2 KV cache on SM80 (A100/A800): admit the format Triton can read, fix the CUDA-graph KV corruption
- [Bugfix][KV Offload] Scale UniformTypeKVCacheSpecs groups by DCP
- [Core] Mix per-prompt seeds into seeded SamplingParams in the offline API
- perf: Capture FULL decode cudagraphs for spec-decode on FlashInfer native path
- [Bug]: AOT compile cache key ignores limit_mm_per_prompt, so image:0 and image:1 runs collide and crash with AttributeError: 'NoneType' object has no attribute 'size'
- Bump Flashinfer version to 0.6.16.post1
- Docs
- Python not yet supported