10 Best Uncensored LLMs to Try in 2025 | Merlio AI

Are you curious about large language models (LLMs) without built-in content restrictions? Tired of hitting limitations with standard AI models? This article delves into the world of uncensored LLMs, highlighting ten of the top models you can try right now and discussing the important considerations that come with using them.

Introduction to Uncensored LLMs

Large Language Models (LLMs) have revolutionized how we interact with artificial intelligence, enabling machines to generate and understand human-like text. While many mainstream LLMs incorporate content filters designed to prevent the creation of harmful, biased, or inappropriate material, a distinct category of LLMs exists that operates with fewer or no such restrictions. These are known as uncensored LLMs.

Uncensored models offer increased flexibility and can tackle a wider range of prompts without refusal. However, this freedom comes with significant ethical considerations and potential risks, as they can generate content that may be undesirable or harmful if not used responsibly. This article explores some of the most notable uncensored LLMs currently available, examining their key features and capabilities.

Why Explore Uncensored LLMs?

Users may seek out uncensored LLMs for various reasons:

• Research and Experimentation: Exploring the raw capabilities and limitations of models without safety guardrails.
• Creative Writing: Generating content without thematic or language restrictions.
• Specific Use Cases: For applications where standard model restrictions interfere with legitimate (though potentially sensitive) tasks.
• Understanding Model Behavior: Analyzing how models respond when not constrained by filters.

It's crucial to understand that "uncensored" does not necessarily mean "better" or "safer." Responsible use and awareness of the potential outputs are paramount.

Top Uncensored LLMs Available Now

Here is a list of some prominent uncensored LLMs that have gained attention:

1. Dolphin 2.9.1 Llama 3 70B: A Powerful Uncensored Contender

Leveraging the robust Llama 3 architecture, this large uncensored model stands out with its 70 billion parameters.

• Key Features:
  • High Performance: 70B parameters enable strong capabilities across diverse tasks, including complex reasoning.
  • Extended Context: Designed to handle longer inputs and maintain coherence over extensive documents.
  • Improved Reasoning: Aims for enhanced reasoning and knowledge compared to smaller models.
  • Fine-tuned: Utilizes full-weight fine-tuning on a 4K sequence length.
  • Agentic Abilities: Incorporates initial agentic features and supports function calling.
  • Refined Training: Removes certain datasets to address previous behavioral issues.
  • Licensing: Licensed under the META LLAMA 3 COMMUNITY LICENSE AGREEMENT.
  • Unrestricted Outputs: Lack of inherent censorship allows for a wide range of responses.
• Access: This model is available through platforms that host open-source models. For those looking for an online experience, platforms like Merlio may offer access to such powerful models.

2. Dolphin 2.7 Mixtral 8x7B: An Uncensored Classic

Created by Eric Hartford, Dolphin 2.7 Mixtral 8x7b is based on the Mixtral mixture-of-experts architecture and is recognized for its strong performance, particularly in coding tasks.

• Key Features:
  • Uncensored Design: Built without content filters for unrestricted output generation.
  • High Performance: Excels in coding due to training on extensive datasets.
  • Mixture of Experts: Leverages multiple specialized models for efficiency and capability.
  • Versatile Quantization: Available in formats like GGUF and AWQ for flexible deployment based on hardware.
• Access: This model is widely available for local deployment using tools like Ollama and can also be accessed through online platforms that support open models, such as Merlio.

Running Dolphin 2.7 Mixtral 8x7b with Ollama (Example)

Ollama is a popular tool for running large language models locally. To run Dolphin 2.7 Mixtral 8x7b using Ollama, you would typically use a command similar to this in your terminal after installing Ollama and pulling the model:

Bash