vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [RFC]: Extensible Scheduler Plugin Framework for vLLM
- [Frontend][Bugfix] Preserve MCP tool result semantics
- [XPU] Batch LoRA slice processing to cut Python‑level launch latency
- [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
- [Bug]: Empty YAML config causes an unhandled AttributeError in --config parsing
- [Bugfix][Spec Decode] Route DFlash fused context-KV projection through quant_method for quantized drafters
- [Misc] Remove stale level reference from CompilationConfig validator
- [Bug]: Streaming reasoning content misrouted to `content` when `stop` parameter is set (stop buffer desynchronizes `delta_text` from `delta_token_ids`
- Docs
- Python not yet supported