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
- [Bug]: chart-helm does not support configuring shared memory (`/dev/shm`)
- [Bug]: minimax-m2.5, reasoning token result in negative values
- Revert "[Test] E2E Nemotron-3-Super tests" (#36803)
- [RFC]: Integrate MineDraft speculative decoding into vLLM
- [Bug]: Speech-to-Text endpoint may return 501 but not documented in OpenAPI
- [Bug]: EP support for Fused MoE LoRA is not implemented yet.
- [Feature]: Implement `TRITON_MLA_SPARSE` backend for sm80 support of Sparse MLA
- [Hybrid] Introduce MambaProcessContext to simplify function signatures
- [Bugfix] Skip speculator auto-detection for non-Hub models
- [Performance]: Deepseek performance regressing with norm fusion enabled
- Docs
- Python not yet supported