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
- optimze attn
- enable torchao for AMD
- [Model]Add DebertaV2ForSequenceClassification Model Support
- [RFC]: vLLM-compile (minus cudagraphs) warm-start time should be close to zero
- [EPLB] Add EPLB support for OLMoE
- [RFC]: Dynamic Expert Load Balance with Zero-like-overhead
- [Model]Force use triton compressed_tensor_moe instead of cutlass
- [Bug]: GLM4.5 RuntimeError: Error Internal
- [Misc] Support MMMU accuracy benchmark
- [RFC]: Support Layer-Specific KV-Cache Dtype & Layout in V1 Engine for Hybrid Models
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- Python not yet supported