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--- |
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language: |
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- en |
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tags: |
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- llama |
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- llama-3 |
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- lora |
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- content-moderation |
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- uncensored |
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- text-generation |
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license: mit |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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--- |
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# Llama 3.1 Censorship LoRAs |
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This repository contains LoRA adapters for Meta's Llama 3.1 8B Instruct model, designed for censoring and uncensoring text content. |
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## What are these LoRA adapters? |
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These LoRA adapters serve as fine-tuning tools for the Llama 3.1 model. They capture the differences between the original, more cautious Llama 3.1 and a version that has been adjusted to be less restrictive, [agentlans/Llama3.1-vodka](https://huggingface.co/agentlans/Llama3.1-vodka). These adapters adjust how the model handles potentially sensitive content. |
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### The Basics |
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- **Base Model**: Llama 3.1 Instruct 8B |
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- **Comparison Model**: [agentlans/Llama3.1-vodka](https://huggingface.co/agentlans/Llama3.1-vodka) |
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- **Extraction Method**: LoRA (Low-Rank Adaptation) |
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### Adapter Options |
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Different "strengths" of adaptation are available: 2, 4, 8, 16, 32, and 64. These can be thought of as dials for determining the extent of changes to the model's behaviour. |
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### Applications |
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- Customizing Llama 3.1 for specific content needs |
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- Adjusting the model's behaviour to align more closely with the censored or uncensored variant |
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- Experimenting with various settings to identify the most effective configuration |
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### Tips for Use |
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- Starting with lower ranks (2, 4, 8) allows for more subtle changes |
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- Higher ranks (32, 64) enable larger adjustments but require more computational resources to apply to the model |
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- Use the lowest rank that achieves the desired effect |
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- For best results, use system prompts in conjunction with the LoRAs |
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- Always use these adapters responsibly and ethically |
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## Uses and Limitations |
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### The Censor-LoRA |
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Designed for: |
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- Maintaining family-friendly content |
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- Removing explicit language |
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- General content moderation |
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### The Uncensor-LoRA |
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Intended for: |
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- Restoring text that may have been excessively censored |
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- Creative writing in more mature contexts |
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- Generating realistic dialogue for adult-oriented content |
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### Limitations |
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- These adapters may occasionally over-censor or under-censor content |
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- They should not be the sole method for content moderation; human oversight remains crucial |
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- The uncensoring adapter has the potential to generate inappropriate content, necessitating careful use |
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## Ethical Considerations |
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The use of these adapters raises several ethical concerns: |
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- The censoring adapter may inadvertently suppress legitimate speech or artistic expression |
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- The uncensoring adapter could be misused to produce harmful or offensive content |
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- Both adapters may reflect and potentially amplify societal biases present in the training data |
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Careful consideration of the implications of deploying these models is necessary, along with the implementation of appropriate safeguards to ensure responsible usage. |