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
- [Performance] Bypass V2 batch request sort for constant keys
- [Bugfix][Spec Decode] Pass draft_vllm_config to draft metadata builders (#45669)
- [CI] Stabilize KV-offload baseline accuracy check
- [Core] Elide cached num output token bookkeeping for MRV2
- [Model] Fix K2-Horizon MoVA weight loading and support GPTQ INT4
- [Security] Bind LMCache token keys to media hash, cache salt, and LoRA
- [CI] Stabilize Qwen3.8 AIME accuracy check
- [Bugfix][Benchmark] Count overlapping requests for peak concurrency
- [Rust] Add image_embeds content type to chat frontend (schema only)
- [Bug]: vllm bench serve may overcount peak concurrent requests at integer-second boundaries
- Docs
- Python not yet supported