README.md

metadata

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 and check out @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 :)