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
- [Core] Add score encoder cache manager
- [Quantization] Add TurboQuant KV cache quantization (Phase 1, Working on Phase 2)
- Hybrid KV offload: planner, MultiConnector, and mamba alignment for hybrid models
- [wip] [Frontend] new online quantization frontend
- Bump flashinfer version to 0.6.7
- Support AsyncTP pattern matching for FlashInfer vllm.bmm_fp8 on Blackwell#27893
- [Tool Parser][2/3] Use self.tools instead of request.tools in tool parsers
- [ZenCPU] AMD Zen CPU Backend with supported dtypes via zentorch weekly
- [Fix] Invariant Check for Auto-Inferred Budgets/Max Batch Size in ViT CUDA Graph Manager
- [Bug] Fix batch invariance for offline serving and aux stream
- Docs
- Python not yet supported