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
- [KDA] Add FlashKDA prefill backend
- Add Gemma4ForSequenceClassification model
- [XPU][CI] Use per-image pull locks for Intel GPU CI
- [Feature]: Kimi K2.5/K2.6 LoRA loading support
- [Bug]: `--num-gpu-blocks-override 0` silently accepted; engine init fails with bare `AssertionError` in `BlockPool.__init__`
- Feature: Enable Flashinfer non-gated MoE bf16
- [Feature]: DFlash Partial Multimodal Token Full Attention with Gemma MoE + Drafter
- Terminal Benchmark for Tool Calling (Qwen3)
- [TurboQuant] Add streaming fallback for long prefill
- [Bugfix] precompile Triton KV-zero and slot-mapping kernels (#43009)
- Docs
- Python not yet supported