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
- 加载Baichuan2-13B-Chat时出异常,torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 50.00 MiB. GPU
- [Feature]: expose the tqdm progress bar to enable logging the progress
- [Feature]: Integrate new backend
- [Bug]: ray cluster Segmentation fault
- [WIP] Emulated fp8 inference
- [Usage]: vllm现在支持embedding输入吗,没有发现相关接口
- [Bug]: Phi-3 long context (longrope) doesn't work with fp8 kv cache
- [Bug]: Spec. decode fails for requests with n>1 or best_of>1
- [Bugfix] Handle `best_of>1` case by disabling speculation.
- [Model] Implement DualChunkAttention for Qwen2 Models
- Docs
- Python not yet supported