CHesketh76commentedMay 17, 2024 Using the traditional method in standard Ollama works but not in the webui. Once selecting the GGUF file and filling in the information. After clicking the create button, you will get a message "Open WebUI: Server Connection Error" message. ...
Don't forget to explore our sibling project, Open WebUI Community, where you can discover, download, and explore customized Modelfiles. Open WebUI Community offers a wide range of exciting possibilities for enhancing your chat interactions with Open WebUI! 🚀 How to Install 🚀 Note Please ...
"max_model_len":8192,"permission":[{"id":"modelperm-f97254d07f81448988cd6733aa69ddce","object":"model_permission","created":1719047559,"allow_create_engine":false,"allow_sampling":true,"allow_logprobs":true,
选择Modelfiles 点击create amodelfile 在页面中填写name description content prompt suggestions 并选择categories 保存 这样,你定制的模型就生成好了。 到对话窗口,选择你生成的模型,试试对话: You 27/02/2024 12:10 who are you G-Moss-Coder Moss-Coder I am a language AI model designed to assist with ...
No sentence-transformers model found with name sentence-transformers/all-MiniLM-L6-v2. Creating a new one with MEAN pooling. Traceback (most recent calllast): File"/usr/local/bin/uvicorn", line8,in<module>sys.exit(main())^^^File"/usr/local/lib/python3.11/site-packages/click/core.py", ...
🔧 Model Selector: Resolved issue where default model selection was not saving. 🔗 Share Link Copy Button: Fixed bug where the copy button wasn't copying links in Safari. 🎨 Light Theme Styling: Addressed styling issue with the light theme....
# IMPORTANT: If you change the default model (all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them. ENV RAG_EMBEDDING_MODEL="all-MiniLM-L6-v2" # device type for whisper tts and ebbeding m...
(base)maruifu@maruifudeMBPdocker logs 948e39d916a7/usr/local/lib/python3.11/site-packages/pydantic/_internal/_fields.py:160:UserWarning:Field"model_name"has conflictwithprotectednamespace"model_"...此处省略不到十万行...Errorwhiledownloading from https://cdn-lfs.huggingface.co/sentence-transformers...
url=f"http://localhost:{port}/api/chat"payload={"model":"gemma:2b","messages":[{"role":"user","content":message}]}response=requests.post(url,json=payload)ifresponse.status_code==200: response_content=""forlineinresponse.iter_lines():ifline: ...
RUNpython -c"import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" 这时候就需要这句神奇的命令了, ENVHF_ENDPOINT"https://hf-mirror.com" ...