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
- Manual silu quant fusion
- [BugFix][Pooling] Skip weight-prefix probe when model has WeightsMapper
- [Bugfix][LoRA] Guard TrtLlm BF16 MoE LoRA gate on activation type
- [Bugfix][R3] Size monolithic routing replay buffer for DP
- [KV Offload] Support out-of-tree secondary tier managers via `module_path`
- [Feature] Enable AITER MXFP4 MoE on gfx942 and optimize tile configurations for MI325X Target Kimi K3 running on MI325X
- [MISC][Bench] refactor throughput and reuse serve's get samples
- [Doc] Troubleshooting: FlashInfer JIT failure on a GPU newer than the local CUDA toolkit
- Remove attention layer name from unified_kv_cache_update for torch.compile
- docs(serving): note OpenAI client base_url for multi-model gateways
- Docs
- Python not yet supported