Comments (2)
You mean if a user attempts to run a model too large for their devices ram? Generally i like operating on the idea that no hard restrictions are placed on running models. If the user wants to attempt to run a model that needs more ram than they have, I will let them but yeah it will most likely crash.
Instead I would prefer to implement a warning for such models, or if you wanted to implement some logic to prevent the user from running such models, I would need a way to toggle it off in the settings page.
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Yeah I like your idea
I mean
If a user attempts to load a fake or corrupt .gguf file or a model that fits into RAM but is not officially supported by llama.ccp yet
or is using an outdated version.
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Related Issues (20)
- ollama not using api key HOT 12
- Custom user image? HOT 1
- Renaming chats is not working correctly HOT 1
- publish to F-Droid HOT 1
- No notification that the model list has updated HOT 4
- Character cards not saving correctly. On android only
- Loading any file required permissions to be given in the application settings manually. HOT 4
- minP is not in the documented in supported APIs.
- APP process only runs on CPU7 on Android device HOT 5
- What things incomplete for iOS? HOT 2
- Documentation Improvements (getting started guide, benchmarks) HOT 4
- Feature Request: Custom Openai endpoints HOT 3
- User image switcher is broken
- Remote ollama settings are not saved
- Some suggestions
- App gets soft locked when there's issues reaching API server HOT 2
- Option to remove hard coded system prompt info
- After the new version all local models are unavailable, what ever you ask it will talk about a different topic and is completely uncommunicative. HOT 2
- Only the latest character gets saved HOT 1
- Open ai API link changes on restart HOT 2
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