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
- [Doc]: Offline Inference Distributed
- [Bug]: accuracy degradation in llama 3.2
- [Installation]: vllm ROCm failed to build on Docker.
- [Core]: (Last/N) Support prefill only models by Workflow Defined Engine
- [Bug]: minicpmv crash on 1x1 image
- [Usage]: caching with different batches
- Hardware Backend Deprecation Policy
- [Bug]: Vllm0.6.2 UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
- [Feature]: Get logits instead of lobprobs for distillation
- [Core] Support all head sizes up to 256 with FlashAttention backend
- Docs
- Python not yet supported