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]: AttributeError: 'ParallelLMHead' object has no attribute 'output_size_per_partition'
- [Feature][ROCm] Enable gfx1030 (RDNA2) as a recognized RDNA arch
- [Bugfix] Enforce deterministic cuDNN convolution under VLLM_BATCH_INVARIANT
- [Attention] Move GDN common metadata compute out of per-group build
- [Frontend] shutdown engine core and its sub processes asap when initializing
- [Bugfix][Ray] Strip brackets from IPv6 node IP for MessageQueue connect_ip
- [Perf][DSV4] Prefer Humming over Marlin for MXFP4 MoE on SM90 (+19.9% throughput)
- [hw-agnostic] Adding embedding layer and lm_head
- [Quantization] Add Stage 1 (CPU-only, reference) BitNet ternary quantization backend
- [Model Runner][Multimodal] Add exact-budget encoder CUDA graphs for Cosmos3-Edge
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