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 Request]: Per-rank log files (especially per-actor for Ray)
- Add Vectorguard Tokenizer: Encrypted Token Streams for Secure AI Inference
- [Feature]: FlexAttention + encoder_decoder support
- [Feature]: Add tokenizer process pool to eliminate preprocessing bottleneck
- [Bug]: qwen3 next fp8 failed on 4 * L40s, EOFError
- [Bug]: xgrammar cleanup leakage
- [Bugfix] Check flashinfer availability using flashinfer.sampling.get_sampling_module
- [Frontend][gpt-oss] Support all MCP servers for gpt-oss
- granite-4.0-h: fix prefix naming and add AWQ compatibility
- [Bug]: deepseekv3.2 tool_calls failure
- Docs
- Python not yet supported