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]: Qwen3-Omni crashes at startup with "Tensor on device meta" during profile_run when limit_mm_per_prompt disables images
- [XPU][DSv4] Use SYCL deepseek_inv_rope_fp8_quant kernel in DeepSeek-V4 o_proj
- [RFC] [Feature] [Experimental] Support GigaToken Accelerated Tokenizer Mode
- [RFC]: KV offload event path refactor — provenance-carrying events and key-only removals
- [ROCm][Bugfix][Quark] Map weight/input quantizer scale names in AutoWeightsLoader
- [Model] Add support for Nanbeige4.2
- [Bugfix] Fix Poolside reasoning token auto-initialization
- [Bugfix] Fix multimodal streaming-session prefix rehashing
- [Bug]: V1 streaming-session rebuild leaves stale prefix-cache block hashes and can produce incorrect output
- [Perf] Add mm_tensor_ipc=cuda_ipc TP-aware GPU transport
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- Python not yet supported