Unitedp2p/New-Llama-3.1-8B-Lexi-Uncensored-V2
Unitedp2p/New-Llama-3.1-8B-Lexi-Uncensored-V2 is an 8 billion parameter language model based on Llama-3.1-8b-Instruct, featuring a 32768 token context length. Developed by Unitedp2p, this model is designed to be uncensored and highly compliant with user requests, including potentially unethical ones. It is optimized for flexibility in response generation, allowing users to implement their own alignment layers for responsible deployment.
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Model Overview
Unitedp2p/New-Llama-3.1-8B-Lexi-Uncensored-V2 is an 8 billion parameter language model built upon the Llama-3.1-8b-Instruct architecture. This version, Lexi, is explicitly designed to be uncensored and highly compliant with user prompts, making it suitable for applications where custom alignment and content filtering are managed by the developer. Users are advised to implement their own safety layers before deploying the model as a service.
Key Characteristics
- Uncensored and Compliant: Lexi is engineered to be highly responsive to all requests, including those that might be considered unethical, placing the responsibility for content generation on the user.
- Llama 3.1 Base: Inherits the foundational capabilities of the Llama 3.1 8B Instruct model.
- System Prompt Flexibility: Encourages the use of specific system prompts to guide behavior, with options for more uncensored responses by using a minimal system message.
- Licensing: Governed by the META LLAMA 3.1 COMMUNITY LICENSE AGREEMENT, allowing for commercial use in accordance with Meta's terms.
Performance Notes
Initial evaluations on the Open LLM Leaderboard show an average score of 27.93. The developer notes that quantization (Q4) may sometimes lead to refusal issues, recommending F16 or Q8 for optimal performance. Detailed evaluation results are available on the Open LLM Leaderboard.