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
- [Feature] Use Fp8 Query for Triton Attention on ROCm
- [Core] CUDA Checkpoint/Restore — Phase 1: C Extension, Python Wrapper, Worker Methods
- [Core] Fix transitional step bug
- [Attention][GPT-OSS] Prefer Triton on SM8x and narrow SM89 sink-prefill tuning
- [Bug]: TypeError: transformers.tokenization_utils_tokenizers.TokenizersBackend._patch_mistral_regex() got multiple values for keyword argument 'fix_mistral_regex'
- [benchmark] Clarify single-image limitation in CustomMMDataset (docs + warning)
- [Core][Frontend] Add gradient computation feature with /v1/gradients API endpoint
- [Frontend] Add pluggable store backends for Responses API persistence
- replace torch.cuda.current_stream with accelerator api
- [Bugfix][Core] Ignore stale KV xfer callbacks after request cleanup (#37837)
- Docs
- Python not yet supported