Large Language Models (LLMs) have become a cornerstone of modern artificial intelligence, enabling machines to understand and generate human-like text. While many LLMs come with built-in content filters to prevent the generation of harmful or inappropriate content, there is a growing interest in uncensored LLMs. These models operate without such restrictions, offering greater flexibility and compliance but also posing significant ethical challenges. This article explores the top five uncensored LLMs available today, with a detailed look at the Dolphin 2.7 Mixtral 8x7b model and how to run it using Ollama.
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For those looking for a more advanced and uncensored LLM experience, Anakin.AI offers the Dolphin-Llama-3-70B model that you can use online. This model is a more powerful and flexible alternative to the jailbroken Llama-3.1-8B-Instruct model.
Key Features of Dolphin Llama 3 70B:
More powerful and flexible than the jailbroken Llama-3.1-8B-Instruct model
1. Dolphin 2.9.1 Llama 3 70B: Overall Best Uncensored LLM
Llama 3 Models have been proven to be reliable and producing amazing outputs that challenges OpenAI. So, why not use the uncensored version of Llama 3?
A large uncensored model leveraging the Llama 3 architecture. Highlights include:
70 billion parameters for high performance across a wide range of tasks, enabling complex reasoning and generation capabilities
Extended context length for handling longer inputs and maintaining coherence, suitable for tasks requiring analysis of extensive documents
Improved reasoning and knowledge capabilities compared to smaller models, potentially approaching human-level performance in certain domains
Trained using full-weight fine-tuning with 4K sequence length, allowing for efficient processing of longer text sequences
Incorporates initial agentic abilities and supports function calling for more structured outputs, enhancing its potential for task completion and integration with other systems
Removes certain datasets used in previous versions to address behavioral issues and over-reliance on system prompts, potentially improving its reliability and reducing unwanted behaviors
Licensed under the META LLAMA 3 COMMUNITY LICENSE AGREEMENT, allowing for commercial use within specified terms, providing opportunities for businesses while maintaining certain restrictions
Uncensored nature requires careful implementation of ethical guidelines and content moderation strategies in real-world applications
2. Dolphin 2.7 Mixtral 8x7B: An Uncensored LLM Classic
The Dolphin 2.7 Mixtral 8x7b, created by Eric Hartford, is a leading uncensored LLM known for its strong coding abilities and high compliance. This model is based on the Mixtral mixture of experts architecture, which combines multiple specialized AI models into a single, powerful system. It has been fine-tuned with additional datasets such as Synthia, OpenHermes, and PureDove, making it highly versatile.
Key Features of Dolphin 2.7 Mixtral 8x7b
Uncensored Design: The Dolphin 2.7 Mixtral 8x7b is designed to operate without content filters, allowing it to generate responses without restrictions. This makes it highly compliant and capable of producing a wide range of outputs, including those that might be considered unethical or inappropriate.
High Performance: The model excels in coding tasks, thanks to its training on extensive coding datasets. It can generate high-quality code and provide detailed explanations, making it a valuable tool for developers.
Versatile Quantization: The Dolphin 2.7 Mixtral 8x7b is available in multiple quantization formats, including GGUF and AWQ, which balance model size and performance. This flexibility allows users to choose the best configuration for their hardware and application needs.
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Interested? in trying out Dolphin 2.7 Mixtral 8x7b?
You can test out this uncensored LLM online right now at Anakin AI!
Anakin AI is the all-in-one AI platform that supports ANY AI model available. You can easily integrate your API to create your customized AI App with ease!
Anakin AI, A unified interface for LLMs
Running Dolphin 2.7 Mixtral 8x7b with Ollama
Ollama is a platform that provides seamless access to advanced AI models, including the Dolphin 2.7 Mixtral 8x7b. Here鈥檚 how you can run this model using Ollama:
Sign Up: Create an account on the Ollama platform.
Access the Model: Navigate to the model library and select the Dolphin 2.7 Mixtral 8x7b.
Set Up Your Environment: Configure the model settings according to your requirements. You can choose the quantization format and adjust parameters such as temperature and token limits.
Interact with the Model: Use the platform's interface to input prompts and receive responses from the model. Ollama supports various interaction modes, including chat-style conversations and structured queries.
Example command to run the model:
ollama run dolphin-mixtral "choose a leetcode hard problem, solve it in Kotlin"
This command will prompt the model to solve a specified problem in Kotlin, showcasing its coding capabilities.
3. Dolphin Vision 72B: An Uncensored Vison LLM
Yes, Dolphin Can See Now!
Dolphin Vision 72B
This advanced multimodal uncensored model can analyze images and generate text responses without content restrictions. Key features include:
72 billion parameter architecture for high-performance language and vision processing, allowing for complex reasoning and detailed outputs
Ability to reason about and describe images that other models might object to or refuse to analyze, making it suitable for a wide range of visual content
Multimodal capabilities seamlessly combining vision and language understanding, enabling rich interactions between text and image inputs
Built on the BunnyQwen architecture, optimized for efficient processing of visual and textual data in a single model
Requires significant computational resources, with 147GB VRAM needed for deployment, limiting its use to high-end hardware setups
Impressive 131,072 token context length for handling extensive prompts and generating detailed responses, allowing for analysis of long documents or conversations
Utilizes the Qwen2Tokenizer with a vocabulary size of 152,064 for nuanced text representation, enabling precise handling of various languages and specialized terminology
Designed to be uncensored, allowing for unrestricted outputs which may require careful consideration in deployment scenarios.
4. Dolphin 2.9.3 Mistral Nemo 12B: The Best Local Uncensored LLM, for Now
Mistral-nemo-12B has been verified as one of the best Local LLM that runs on a modern Laptop. If you need a locally run LLM assistant, this Uncensored LLM is your best Best.
It has an uncensored 12 billion parameter model based on Mistral AI's Nemo architecture. Notable aspects:
Uses ChatML prompt format for structured interactions, enabling clear separation of system instructions, user inputs, and model responses
128K context window enabling analysis of lengthy documents or conversations, suitable for tasks requiring long-term memory and coherence
Designed for instruction following, conversation, coding, and initial agentic abilities, making it versatile for various applications
Trained on a diverse dataset including multilingual content and coding examples, enhancing its capability to handle a wide range of tasks and languages
Implements function calling capabilities for more structured outputs, allowing for integration with external tools and APIs
Optimized for deployment on consumer-grade hardware while maintaining strong performance, balancing accessibility and capability
Licensed under Apache 2.0, allowing for commercial use with proper attribution, providing flexibility for developers and businesses
Uncensored nature requires careful consideration of ethical implications and potential implementation of safeguards in production environments
5. Dolphin 2.9 Llama3 8B: the Amazing Gem of Uncensored LLM
Simply run it now using ollama. Try it, it's amazing:
ollama run dolphin-llama3
This uncensored 8 billion parameter model is based on the Llama 3 architecture. Key attributes:
Optimized for efficiency and performance on consumer hardware, making it accessible for a wider range of users and applications
Maintains many capabilities of larger models in a more compact 8B parameter package, offering a good balance between performance and resource requirements
Available in versions with both 32K and 256K context windows, providing flexibility for different use cases and memory constraints
Suitable for deployment on systems with limited resources, requiring only 4.7GB of storage, enabling use on laptops and smaller servers
Trained on a diverse dataset to handle a wide range of tasks including coding and analysis, enhancing its versatility
Designed to be highly compliant with user requests, necessitating careful use and potential safeguards to prevent misuse or generation of harmful content
Compatible with popular deployment tools like Ollama for easy integration into projects, streamlining the development process
Uncensored nature allows for unrestricted outputs, which may require additional content filtering or user guidelines in practical applications
This uncensored model combines the Yi architecture with optimizations. Key features:
34 billion parameters, striking a balance between model size and performance, suitable for users requiring strong capabilities without the resource demands of larger models
32k token context window for handling longer documents and conversations, enabling analysis of extensive texts while maintaining coherence
GGUF format for efficient deployment and reduced memory footprint, optimizing performance on a variety of hardware configurations
Optimized for use with popular open-source inference frameworks, facilitating integration into existing AI pipelines and projects
Designed to maintain high performance while being more accessible than larger models, potentially suitable for deployment on high-end consumer hardware or cloud instances
Suitable for a wide range of applications including text generation, analysis, and coding tasks, offering versatility for developers and researchers
Requires careful consideration of ethical implications due to its uncensored nature, necessitating thoughtful implementation of use policies and potential content filtering mechanisms
May offer a good compromise between the capabilities of larger models and the resource efficiency of smaller ones, making it attractive for organizations with moderate computational resources
6. GPT-4-x-Vicuna
GPT-4-x-Vicuna is an uncensored variant of the popular GPT-4 model, fine-tuned to remove content filters. This model is known for its high performance in generating human-like text and its ability to handle complex queries without restrictions.
Key Features
High Compliance: The model is designed to comply with any request, making it highly versatile.
Advanced Language Understanding: It excels in understanding and generating complex text, making it suitable for a wide range of applications.
7. Nous-Hermes-Llama2
Nous-Hermes-Llama2 is another uncensored LLM that has gained popularity for its robust performance and flexibility. It is based on the Llama2 architecture and has been fine-tuned to operate without content filters.
Key Features
Robust Performance: The model performs well across various tasks, from creative writing to technical documentation.
Flexible Deployment: It can be deployed on various platforms, making it accessible for different use cases.
Mythomax is an uncensored LLM known for its creative capabilities. It is particularly popular among users who require a model that can generate imaginative and unrestricted content.
Key Features
Creative Output: The model excels in generating creative and imaginative text, making it ideal for writers and content creators.
High Flexibility: It can handle a wide range of prompts without restrictions, providing users with a versatile tool for various applications.
Airoboros-30B is a powerful uncensored LLM that offers high performance and compliance. It is designed to handle complex queries and generate detailed responses without content filters.
Key Features
High Performance: The model is capable of handling complex queries and generating detailed responses.
Wide Range of Applications: It is suitable for various applications, from technical documentation to creative writing.
Are Uncensored LLMs Really Working?
While uncensored LLMs offer significant advantages, they also pose substantial ethical challenges. The lack of content moderation means that these models can generate harmful, biased, or inappropriate content, which can have serious legal and reputational implications.
Uncensored LLMs Are Uncensored, But Might Not Be "Free"
Bias and Fairness: Without content filters, it's not necessary that LLMs are going to give you the truth 100%. Uncensored models may perpetuate and amplify existing biases present in the training data. This can lead to unfair and discriminatory outputs.
You Still Need to Prompt the LLM, Correctly: Providing clear guidelines and examples of responsible use can help users engage with the model ethically. Encouraging users to avoid malicious prompts and use the model for constructive purposes is essential.
Fine-Tuning and Steering Can Improve Uncensored LLMs: Fine-tuning the model with additional datasets and employing test-time steering techniques can enhance its adherence to ethical guidelines. These strategies can help improve the model's reliability and safety.
Conclusion
Uncensored LLMs like the Dolphin 2.7 Mixtral 8x7b represent a significant advancement in AI technology, offering powerful capabilities for a wide range of applications. However, their potential to generate harmful content necessitates careful consideration and responsible use. Platforms like Ollama provide a valuable interface for interacting with these models, but users must remain vigilant and adopt appropriate mitigation strategies to ensure ethical and safe deployment. As the field of AI continues to evolve, balancing the benefits of uncensored LLMs with the need for ethical safeguards will be crucial in harnessing their full potential.
