Best Local AI Models for Uncensored & Unrestricted Models
Models with safety alignment removed for unrestricted generation in trusted environments.
For uncensored and unrestricted models, NeuralDaredevil 8B (abliterated) is the clear winner, offering the best balance of performance and resource efficiency. If you have more powerful hardware, consider Dolphin Mistral 24B (Venice Edition) for even greater capabilities.
When it comes to uncensored and unrestricted AI models, users often demand the highest levels of creativity, flexibility, and control without the constraints of safety filters. Local models offer unparalleled privacy and customization, making them ideal for trusted environments where content generation is not limited by external policies. However, they require significant computational resources, so users must balance performance with hardware capabilities.
Top picks
- #1
NeuralDaredevil 8B (abliterated)8B · llama3 · min 5.1GB
The best balance of performance and resource efficiency for unrestricted generation.
NeuralDaredevil 8B (abliterated) stands out as the top pick for uncensored and unrestricted models due to its impressive 8 billion parameters and minimal VRAM requirement of just 5.1GB. This model is built on the robust llama3 architecture, ensuring high-quality outputs while remaining accessible to a wide range of users. Its abliterated version removes all safety filters, making it perfect for creative and experimental tasks. Despite its smaller size compared to some competitors, it delivers exceptional results, making it a versatile choice for both beginners and experienced users.
- #2
Dolphin Mistral 24B (Venice Edition)24B · apache-2.0 · min 14.9GB
Powerful and unrestricted, but requires more VRAM.
Dolphin Mistral 24B (Venice Edition) is a powerhouse with 24 billion parameters and a minimum VRAM requirement of 14.9GB. Licensed under Apache-2.0, this model offers extensive capabilities for generating high-quality, unrestricted content. Its larger size translates to more nuanced and detailed outputs, making it ideal for users with more advanced hardware. While it may be overkill for simpler tasks, it excels in complex and demanding scenarios, providing a rich and diverse range of outputs.
- #3
Codestral 22B (abliterated)22B · other · min 12.9GB
Highly capable and unrestricted, but with a higher VRAM demand.
Codestral 22B (abliterated) v3 is a strong contender with 22 billion parameters and a VRAM requirement of 12.9GB. This model is particularly well-suited for generating detailed and sophisticated content, thanks to its large parameter count. Its abliterated version ensures that all safety filters are removed, making it a powerful tool for unrestricted generation. However, the higher VRAM requirement means it may not be suitable for users with less powerful hardware, but for those who can handle it, it offers exceptional performance.
- #4
Llama 3.1 8B Instruct (abliterated)8B · llama3.1 · min 5.1GB
A solid choice with a focus on instruction-based tasks.
Llama 3.1 8B Instruct (abliterated) is a reliable option with 8 billion parameters and a VRAM requirement of 5.1GB. Built on the llama3.1 architecture, this model is optimized for instruction-based tasks, making it highly effective for generating content based on specific prompts. Its abliterated version removes all safety filters, allowing for unrestricted generation. While it may not match the raw power of larger models, its efficiency and quality make it a great choice for users looking for a balance between performance and resource usage.
- #5
Dolphin 3.0 Llama 3.1 8B8B · llama3.1 · min 5.1GB
A solid performer with a focus on general-purpose tasks.
Dolphin 3.0 Llama 3.1 8B is a well-rounded model with 8 billion parameters and a VRAM requirement of 5.1GB. This model is built on the llama3.1 architecture and is designed for a wide range of general-purpose tasks. While it does not have the same level of unrestricted generation as the abliterated versions, it still offers high-quality outputs and is a good choice for users who need a reliable and efficient model. Its balanced performance and low VRAM requirements make it accessible to a broad audience.
Hardware guidance
For uncensored and unrestricted models, the hardware you choose is crucial. Users with 8GB of VRAM can run models like NeuralDaredevil 8B or Llama 3.1 8B Instruct, which offer excellent performance without overwhelming your system. Those with 12GB of VRAM can consider Codestral 22B, while 16GB of VRAM opens up options like Dolphin Mistral 24B. For the most demanding tasks, 24GB+ of VRAM is recommended, allowing you to run the largest models like Llama 3.1 70B with ease.
When to skip local
While local models offer unmatched privacy and control, there are scenarios where hosted APIs might still be preferable. For instance, if you lack the necessary hardware or need to scale quickly, cloud-based solutions like Anthropic’s Claude or OpenAI’s GPT-3 can provide powerful alternatives. These APIs also benefit from regular updates and maintenance, ensuring you always have access to the latest features and improvements.
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