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
- [Perf][ROCm] Enable AITER QuickReduce + RMSNorm fusion
- [CI] Add chat eval mode to GSM8K harness + gpt-oss-20b config
- [Tracking][ROCm][Perf]: DP Attention performance
- [Rust Frontend] Add HTTP access log with disable and endpoint-exclusion flags
- [Bugfix] Opt out of pinned host memory for shm multimodal decode
- Fa4 fp8 kv dequant integration clean
- [RFC]: StructuredOutputManager x Speculative Decoding Refactor
- [RFC]: Per-request effective proposal lengths for adaptive speculative decoding
- [Bugfix] Fix cumulative Whisper timestamp drift from variable-length audio chunks
- [RFC]: Remove Group Activation Ordering (actorder=group) Support from vLLM and Compression Libraries
- Docs
- Python not yet supported