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
- Fix DCP write amplification: decouple namespace factor from put_step
- [Quantization] Support online quantization with partially pre-quantized checkpoints
- [Bugfix][Model] Validate Kimi-K3 plain FP8 prefill support
- [Bugfix] Stop Kimi K3 end-of-turn marker leaking into streamed content
- [Bugfix][ROCm] Route non-divisor small-head MLA decode to Gluon on gfx950
- Added the fix for deepseek on xpu
- [Engine Core] Gather engine notifications from workers to frontends
- [RFC]: [TieredOffloading][Performance] Tiered Lookup Resolution
- [Bug]: Hybrid sparse attention + Eagle results in full cache miss for certain prompt lengths
- Bound DeepSeek OCR no-repeat scanning
- Docs
- Python not yet supported