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]: Enable simultaneous generate and embed endpoints in a single vLLM instance
- [Bug]: [Bug]: Kimi-K2.5 on version 0.18.0 results in an keyerror when the pipeline parallelism (PP) is greater than or equal to 2
- [Bug][Model] Eagle2.5-VL applies ImageNet normalization instead of SigLIP2
- [RFC]: Intel Quantization Support Roadmap (H1 2026)
- [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)
- [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 sm80/120/121 support of Sparse MLA
- Docs
- Python not yet supported