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
- Fix/triton quant query input
- [Bugfix] Fix ModuleNotFoundError when flash-attn-4 is installed alongside vLLM
- [Bug]: Gibberish output and collapsing generation throughput with Qwen3.5-35B-A3B-FP8 and speculative decoding enabled
- [kv_offload] Fix bare Exception types and add FilterReusedOffloadingManager tests
- [Bug]: Tesla T4 GPU - triton.runtime.errors.OutOfResources: out of resource: shared memory, Required: 81920, Hardware limit: 65536. Reducing block sizes or `num_stages`
- [Bug]: No sm_121 (Blackwell) support on aarch64 — NVIDIA DGX Spark / Acer GN100
- [ROCm] Fix AITER sparse MLA crash for num_heads < 16 (e.g. GLM-5 TP=8)
- Move test dependencies from inline installs to Docker image
- enable flashinfer moe kernel for DP + EP
- Support Flashinfer rope+quant+cache update fusion kernel for TRTLLM attention
- Docs
- Python not yet supported