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]: Add support for Apple MPS(Metal Performance Shaders)
- [RFC]: Disaggregated Everything - Token In <> Token Out API Server
- [bug fix] disable memory pool to release unused `bf16` weights
- [Feat] support fp8 quantization in update weights
- [torch.compile] Try using Dynamo-native padding
- Take SM Count During Persistent SiLU Mul Quant
- [Bug]: Got different `max model len` using MTP with Qwen3 next
- [Fix] Support TP for ModelOpt NVFP4 by adding dynamic padding
- [Feature]: Prometheus Metrics Abstraction
- Migrate from `mypy` to `ty`
- Docs
- Python not yet supported