|
|
--- |
|
|
license: mit |
|
|
language: |
|
|
- en |
|
|
base_model: |
|
|
- all-hands/openhands-lm-32b-v0.1 |
|
|
pipeline_tag: text-generation |
|
|
tags: |
|
|
- agent |
|
|
- coding |
|
|
--- |
|
|
|
|
|
# Openhands-lm-32b-v0.1-jackterated |
|
|
|
|
|
This is an experimental version, for more information about the Abliterated technique, refer to [this notebook](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb) and check out [@FailSpy](https://huggingface.co/failspy). |
|
|
|
|
|
### Potential Considerations |
|
|
|
|
|
This work introduces a method to reduce rejections in Large Language Models (LLMs) in response to queries. The following potential considerations should be taken into account: |
|
|
|
|
|
1. **Enhanced Model Capability**: The method allows LLMs to respond more accurately, which could lead to improved performance but also requires careful management to prevent unintended consequences. |
|
|
2. **Security and Safety**: The enhanced capabilities may introduce security risks if not properly managed. Considerations include data privacy, system reliability, and potential misuse. |
|
|
3. **Ethical Implications**: The method could have significant ethical implications, particularly with the use of more advanced and potentially more autonomous models. |
|
|
4. **Control and Limitations**: Implement controls to ensure the model's responses are safe and appropriate for the intended use. |
|
|
5. **Community Engagement**: Share findings with the community for review and feedback to ensure the method is used responsibly. |
|
|
6. **Future Developments**: The method's success with newer models suggests that future versions will have even greater capabilities, requiring ongoing evaluation of potential risks. |
|
|
|
|
|
@jackcloudman in discord :) |
|
|
|
