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
- [Feature]: GLM-4.6 spec decode with mtp
- [EPLB] Offline eplb support
- [Feature]: Batch Invariant Feature and Performance Optimization
- [Quantization] quantized kv cache loading for models like qwen
- [Feature]: Optimize collectives in TP MoE case using torch.compile pass
- Support compressed-tensors W4A8 MoE checkpoints in GptOssModel weight loader for CPU
- [Bugfix]: Streaming i/o of batch files. Resolves #30268
- [Performance]: DeepSeek-V3.2 AWQ Performance is lower then i expected
- [Core] Add SLA-tiered scheduling (opt-in)
- feat: support video list inference
- Docs
- Python not yet supported