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
- [Spec Decode] Consistent drafted, verified and accepted token counts
- [ROCm][Perf] Add direct FP8 kv_b_proj output for FlyDSL MLA prefill
- [Bugfix][Benchmark] Parse SSE data fields across streaming backends
- [MoE] Use sorted fused-MoE path on integrated GPUs for multi-token batches (#63943)
- [Metrics] Add vllm:kv_admission_refusals counter
- [Recipe] Qwen3.5: keep configuration-specific content out of the guides
- [Bugfix][DSA] Split FlashInfer sparse MLA calls above the 65535 gridDim.z limit
- [Bugfix][CPU] Resolve the process cgroup when reading the memory limit
- [ROCm][CI] Re-enable VLLM_GPU_SYNC_CHECK=error in the ROCm test image
- [Feature] Support per-model Hugging Face and ModelScope sources
- Docs
- Python not yet supported