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| title: LLM Mind Control (LLama 3.2 1B) | |
| emoji: ⚡ | |
| colorFrom: pink | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # 🧠 LLM Mind Control" | |
| Unlike prompting, direct weight manipulation lets you fine-tune the amount of a personality | |
| trait or topic. Enabled through [Representation Engineering](https://arxiv.org/abs/2310.01405) | |
| via the [repeng](https://pypi.org/project/repeng) library. | |
| [Watch a demo](https://youtu.be/gYZPGVafD7M) for usage tips. | |
| This space uses the Llama 3.2 1B Instruct model, and is barely tolerable to run on ZeroCPU. | |
| It is much nicer on a small GPU. | |
| Llama 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms, | |
| Inc. All Rights Reserved. | |
| repeng and the Representation Engineering code it is based on are both licensed under MIT. | |
| This application and code is also licensed under MIT. |