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
- [MoE] Alpha MoE integration
- [Feature] Default EPLB num_redundant_experts to minimum valid value
- fixed glm 4.7 tool call and parser
- Support ViT SP parallelism in the encode section of qwen2.5vl/qwen3vl
- [Draft]feat: Add per-layer MLP size support for Qwen pruning
- [Refactor] Move MXFP4/MXFP6 logic from fused_experts to Quark
- [Bugfix] interleaved multimodal feature concatenation
- Benchmarks: add receipts harness (telemetry + logs)
- [Feature]: Support Gemma 3 QAT series
- [Bug]: Unknown quantization method: mxfp4
- Docs
- Python not yet supported