Query: "uncensored gguf"

DavidAU/Qwen2.5-QwQ-37B-Eureka-Triple-Cubed-abliterated-uncensored-GGUF

• A user shared a link to an abliterated uncensored version of the Qwen2.5 model.
• Comments:
  • "Awsome, thanks for the share on theses :)"
  • "These models look promising. I hope we will have some real world comparisons against the vanilla QwQ soon"

LLM Models

• LLM models are mentioned, highlighting concerns about fine-tuning to remove censorship without compromising the model's intelligence.
• Comments:
  • "LLMs are bad at hallucination. People are even worse."

QwQ Models

• QwQ models are discussed, mentioning strengths and weaknesses.
• Comments:
  • QwQ models have issues with going over the top and being weak in multi-turn conversations.
  • Regular QwQ 32b is considered fine for some users.

Concerns about AI and Privacy

• Users express concerns about privacy and the implications of sharing personal information with AI models.
• Comments:
  • There is a discussion on the potential risks and benefits of using AI for therapy.
  • Some users express a lack of concern regarding privacy and data sharing with AI.

Common Issues and Recommendations for Models

• Users share experiences with different models and provide recommendations.
• Recommendations:
  • Consider exploring Mistral Nemo 12B, Cohere Command R 34B, Midnight Miqu 70B, Lumimaid 70B, and Cydonia 22B for various contexts and performance.
  • Users suggest utilizing platforms like SillyTavern for support and guidance with model issues.

User Experience with Models

• Some users share their experiences with specific uncensored AI models.
• Comments:
  • Users discuss the performance and creativity of models like Qwen2.5 and Llama in uncensored settings.
  • Concerns are raised about the effectiveness of removing censorship from models like Phi-3.

Recommendations and Tips

• Tips are provided for enhancing uncensored outputs and running models effectively.
• Comments:
  • Users share methods to modify prompts for better uncensored responses.
  • Suggestions include using the <|eot_id|><|start_head_id|>assistant<|end_header_id|> suffix for better results.

In summary, users discuss various uncensored AI models, their performance, concerns about privacy, and provide recommendations for optimizing model outputs. Overall, there are mixed experiences with uncensored models, ranging from promising results to challenges in removing censorship effectively.