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
- [Model][Generative Recommendation] Add HSTU model support to vLLM
- [Bug]: All GPTQ checkpoints fail with UR_RESULT_ERROR_DEVICE_LOST on Intel Arc B60 (XPU) at profile_run
- [Feature] Support batch invariance on ROCm
- fix(docs): correct "Mixture-of-Expert" to "Mixture-of-Experts" in README
- feat(inkling): add Eagle3 hidden state extraction support
- [Bug]: ImportError: libcudart.so.13: cannot open shared object file: No such file or directory
- [Quantization] Clarify MXFP4 MoE W13 layout requirement from backends
- [Bug]: Cannot run KimiLinearForCausalLM (Kimi-K3-0.40B) on CPU — MLA vs Mamba prefix-caching conflict
- [bug]: empty JSON schema `{}` causes unbounded number death-loop garbled output
- [Bugfix][Qwen3.5-MTP] Load a dedicated mtp.lm_head draft head
- Docs
- Python not yet supported