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
- [ROCm][K3] Enable fp8 KV cache with DSpark speculative decoding and code-reorg
- [RFC]: Extensible Scheduler Plugin Framework for vLLM
- [Doc]: Stale rejection_sample_method and synthetic_acceptance_rate in speculative decoding README
- [Frontend][Bugfix] Preserve MCP tool result semantics
- [Doc] Fix stale rejection_sample_method and synthetic_acceptance_rate
- [XPU] Batch LoRA slice processing to cut Python‑level launch latency
- [Bugfix][KV Offload] Emit self-describing CPU events at KV-group block granularity
- [Metrics] Report CPU offload capacity in tokens
- [Bugfix][Responses] Ignore Harmony recipients when no tools are configured
- fix(layers): parenthesize implicit string concatenations in tuple returns to fix ISC004 warnings
- Docs
- Python not yet supported