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
- [RFC]: Progressive KV Cache CPU Onloading
- [PluggableLayer][3/N] Apply PluggableLayer to moe-related layers.
- Add batched and grouped EPLB communication
- [Model] Use layer_types config for sliding window selection in GPT-OSS
- [MoE] Add routing simulation override for MXFP4 quantized MoE
- [NIXL] vllm v0 nixl integration
- [CORE] Eliminate Occasional Scheduling Delay for Parallel Sampling
- [Feature]: Add MXFP6 Quantization Format
- [Don't merge] Debug failing quantization test with input batch move
- [Misc] Add logfmt8 quantization support
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- Python not yet supported