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
- [RFC]: Worker Controller for warm GPU worker pooling to reduce cold-start latency
- [speculative decoding] Add dynamic speculation length with confidence-threshold early exit
- [BugFix] Fix MoE g_idx params causing ValueError with actorder=null AWQ models
- [Bug]: vLLM startup memory check mis-detects available VRAM (reclaimable OS memory) on UMA Systems
- [Bug]: quantization="mxfp4" produces incorrect results / hangs for MoE models at tensor_parallel_size=1
- [Bugfix] Fix expired entries removal behavior for P2pNcclConnector proxy
- [Bug]: GPT-2 scale_attn_weights config flag is ignored in vLLM
- [Bugfix][Hardware][AMD] Support all MoE activations in WNA16 quantization on ROCm
- [Bug]: Multi-Node inference with PP > 1 crashes after processing completions request with non-None `logprobs` parameter.
- [MoE Refactor] Split of DefaultMoERunner class
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