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(moe): add metaclass bridge to FusedMoE factory to preserve isinstance() type checks for out-of-tree plugins under PyTorch 2.12.0
- [Usage]:
- [Rust Frontend] Migrate to hf-hub 1.0
- [WIP][Perf][ROCm] Route gfx942 fp8_mqa_logits to AITER's Gluon kernel
- [Bug]: LoRA `lora_expand` Triton kernel outputs NaN on Hopper (sm_90) with `block_n=128`, producing garbled LoRA output
- [Platform] Move env check function to platform interface
- [Bugfix][Frontend] Accept `tools: null` on the Responses API
- [CI] Add ModelOpt NVFP4 EPLB accuracy test (Qwen3-30B-A3B, 2xB200)
- V1 EngineCore: SIGTERM teardown runs two full-heap gen-2 GC passes (~4-7 s) to collect a few hundred objects
- [Bug]: Ministral3 RoPE scaling ignores YaRN mscale and nested Llama 4 fields
- Docs
- Python not yet supported