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
- Compute MM Pre-processing Timing Metrics in a Non-Blocking Way for Prod (#36685) (#36685) (#36685) (#36685)
- Move to Zensical for docs build
- Dflash integration
- [Bug]: Qwen 3.5 4B fail on first request on Intel XPU (Arc Graphics B580)
- [Bugfix][ROCm] Memory access fault fix for full graph capture for triton-attn - Option 2
- fix(lora): fix variable shadowing in get_supported_lora_modules
- [Feature] Add energy consumption metrics to benchmark suite
- [RFC]: vLLM IR Out-of-Tree (OOT) Kernel Registration
- [Feature]: Add support for token_adapter.trainable_tokens_delta LoRA weight
- [Feature]: Built-in debug tensor dump for intermediate activations
- Docs
- Python not yet supported