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
- [Feature] Keep HMA enabled for supported KV connectors
- Fix/gemma4 nvfp4 per expert
- DeepSeekv4 ROCm Optimization
- [Model] Support TranslateGemma-12b-it
- [On hold] feat(kernels): Migrate mm_encoder_attn to vLLM IR
- Implement custom dataset class for ASR benchmarking
- [Bug]: compressed-tensors W4A16 MoE: weight_scale not sharded along K under tensor parallelism, kernel computes wrong group_size
- [Bug]: the A800 architecture cannot start the glm5.1 model.
- [Bug]: TP Worker hang causes EngineDeadError - RPC call to sample_tokens timed out (DeepSeek-V4-Pro, TP=8, MTP speculative decoding)
- [DSV4] Attention accumulation in model dtype
- Docs
- Python not yet supported