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
- [Bugfix] Corrects estimate of torch memory use causing OOM due to incorrect KV cache space estimation when sleep mode on (Fixes #40256)
- [Bugfix][Gemma4] Fix vision fp16 overflow causing <pad> output
- [vLLM IR] Update the pre commit to enforce imports of vllm
- docs: expand load_weights guide with AutoWeightsLoader and manual patterns
- [ROCm] Add missing gfx1152, gfx1153, and enable all gpu arch to AITER in docker
- [Perf] Integrate flash-maxsim Triton kernels for late-interaction scoring
- [RFC]: Unified ModelOpt Quantization in vLLM
- [torch.compile] Remove layer name from unified_kv_cache_update / unified_mla_kv_cache_update to fix cold-start (#33267)
- [RFC]: Add API to restore free_block_queue allocation order for long-running RLHF / rollout sessions
- [torch.compile] refactor config hashing through compile_factors and normalization
- Docs
- Python not yet supported