Nice app, but privacy concerns
It works pretty well, and lower memory requirements, depending on the task, than loading the full model in other frameworks
But: Why does a local AI app which runs on device (purportedly) give me the functionality to thumbs up or thumbs down the response??! personally, if I’m running it on device and powering the matmuls by draining my battery I want the model running in a Faraday cage
But: Why does a local AI app which runs on device (purportedly) give me the functionality to thumbs up or thumbs down the response??! personally, if I’m running it on device and powering the matmuls by draining my battery I want the model running in a Faraday cage
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アップデートで動作不安定に
続けて質問するとフリーズするようになってしまった。
今は微妙
17無印でE2Bを試したけど回答にハングルやヒンドゥー語？にアラビア語も割と混ざったりする。めっちゃ大量のメモリ詰んだマシンで高性能なローカルLLMなら実用性が高まるだろうけど現実は金かけない人が大勢だしそこまでする価値はないから今はクラウドLLMで十分。完全ロマン枠
chat窗口，大于两轮对话，或文字比较多时，窗口死掉（冻结）。
如题，如果token超限，或资源不够，希望能有提示，并平稳退出，而不是死掉，然后只能强制关闭整个应用。
Great concept, but serious stability issue
I’m facing a serious stability issue on my iPhone 16 Pro. The first query works, but when I send a second query the app freezes and stops responding. Force-closing and reopening the app does not reliably solve the problem.
I’m using a Gemma 4 E4B-it model, so please investigate the multi-turn inference issue on iOS, particularly with larger models. The app has great potential, but it needs better stability and memory management for repeated queries.
The app needs a better storage management feature - clear breakdown of “model files, cache, media, temp data…etc.,.”. - wt can be safely deleted to free up space.
I’m using a Gemma 4 E4B-it model, so please investigate the multi-turn inference issue on iOS, particularly with larger models. The app has great potential, but it needs better stability and memory management for repeated queries.
The app needs a better storage management feature - clear breakdown of “model files, cache, media, temp data…etc.,.”. - wt can be safely deleted to free up space.
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