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
- [RFC]: Disaggregated Frontend — Separating Online Serving from Engine
- small adjustment to wvSplitKrc
- [Bug]: Qwen coder next performance after d7982da commit.
- [Feature]: logprobs for gpt-oss harmony
- Add support for LoRA with NVFP4 MoE models
- [Feature]: GPT-OSS: Unify harmony workflows with other model type workflows
- Add explicit validation error for tool calls.
- [Bugfix] Fix step3p5 tool parser and unnecessary unstreamed tool args in serving.
- [Feature]: Make Prometheus histogram buckets configurable
- [Bugfix] Enforce DeepGEMM when using sparse_attn_indexer on CUDA
- Docs
- Python not yet supported