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]: enforce_eager=False will generate garbage tokens for InternVL2-8B
- [Bug]: DeepSeek-V4-Flash-FP8 crashes consistently after processing partial benchmark requests with data parallel and expert parallel (vLLM v0.20.1, H200)
- [Feature]: add object store e2e tests for kv caching
- [Model][MiniMax-M2] Fix EAGLE-3 aux hidden-state layer off-by-one
- [Bugfix][Core] MTP + enable prefix caching + mamba accuracy fix
- [torch.compile] Add E2E correctness tests for fusion passes
- [Frontend] Make DP ZMQ liveness timeout configurable
- Fix InternVL2-8B compiled generation with InternLM2 backbone
- [BugFix] Fix Mistral3 multimodal offline example
- [Bugfix] Add SWIGLUSTEP and RELU2 activation support to CPU fused MoE
- Docs
- Python not yet supported