Comments (2)
这个推荐自己基于镜像再 build 一层,flash-attension 编译需要看运行时环境
from inference.
这个推荐自己基于镜像再 build 一层,flash-attension 编译需要看运行时环境
我只是建议。其实你们Xinference需要很多运行时环境,包括cuda环境,所以我建议这个flash-attention一起配上。
from inference.
Related Issues (20)
- BLD: Official CPU docker image
- BUG: Failed to launch qwe1.5-14b-GGUF using Xinferrence but works fine in pure llama_cpp python HOT 3
- BUG: Error when destroy generator in xoscar
- BUG: qwen1.5 gptq int8 errored HOT 2
- FEAT: Add a command / SDK interface to query which models are able to run on VLLM
- BUG请问我在安装pip install "xinference[all]"时出错 HOT 4
- 有docker部署embedding的示例吗 HOT 1
- Server error: 500 - [address=127.0.0.1:50182, pid=36312] [WinError None] 客户端没有所需的特权 HOT 1
- BUG: for windows cannot start with IP 0.0.0.0 HOT 17
- DOC: add how to contribute doc HOT 1
- 显存占用双倍异常 HOT 7
- max_tokens设置似乎出现异常
- BUG: Qwen1.5-chat 0.5B cannot be downloaded from modelscope
- QUESTION: 以xinference作为后台服务,不能同时多人进行提问 HOT 3
- 想问下如何对qwen1.5进行多机多卡批量推理
- Support FunASR HOT 1
- Qwen-Audio支持
- QUESTION: Xinference.core.worker 4040 ERROR Failed to load model chatglm3-1-0 HOT 1
- BUG worker重连supervisior机制异常
- ENH: Add the option to use CPU to inference even there is GPU device
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from inference.