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]: Request support for AWQ quantization on GPUs with CUDA Compute Capability < 8.0 using Compressed Tensors Quantization.
- [Feature]: Upgrade `outlines` support to v1
- [Bug]: v100 support for gpt-oss: torch.AcceleratorError: CUDA error: no kernel image is available for execution on the device
- Test tree flash attn
- [Bug]: performance regression caused by frequently preempting and resuming a request
- [Bug][gpt-oss] streaming/tools RuntimeError: Attempted to exit cancel scope in a different task than it was entered in
- maybe hang fix
- [Installation]: non-CUDA x86 vLLM v0.10.2 wheel is CUDA dependent
- [Tracking Issue]: Prefix Caching for Hybrid Models
- [Feature]: Will vLLM 0.11.0 provide a pre-compiled wheel for CUDA 11.8?
- Docs
- Python not yet supported