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
- [ROCm][Bugfix] Fix AITER shared-expert fusion routing for gate-less MoE (DeepSeek-V2-Lite)
- [Quantization][MoE] Keep CSF-compressed NVFP4 expert scales resident on B12X
- [Model] Quantize Muse Spark BF16 routed experts with online nvfp4_per_token
- [ROCm][UMBP] Support UMBP standalone mode for DeepSeek-V4.1-Flash
- [ROCm][MoRIIO] Support DCP for decode instance in PD disaggregated serving with MoRI WRITE mode
- [Bugfix][Tool Parser] LFM2: constrain forced tool_choice to the native format and parse hyphenated tool names
- [Feature]: Add ID-only request logging while preserving lifecycle events
- [Models][XPU] Port eager Qwen3.5 models and fuse MoE decode
- [ROCm][MoE] Add opt-in AITER FlyDSL clamped MXFP4 BF16 experts
- [Misc] Watermarking: read the key from a file
- Docs
- Python not yet supported