Uncensored LLMs on Ollama

Wed Jan 15 2025

Introduction

Large language models (LLMs) have revolutionized how we interact with technology. While many LLMs are censored for safety and ethical reasons, uncensored LLMs offer more freedom. Ollama, an open-source platform, allows users to run these models locally. This post explores the world of uncensored LLMs on Ollama, examining their capabilities, limitations, and potential benefits and risks.

Uncensored LLMs on Ollama

Ollama offers a variety of uncensored LLMs, each with unique characteristics. Here are some notable ones:

  • Llama 2 Uncensored: Based on Meta's Llama 2, this model comes in 7B and 70B parameter sizes. It has double the context length of the original Llama 2 .
  • WizardLM Uncensored: This 13B parameter model, based on Llama 2, was uncensored by Eric Hartford .
  • Wizard Vicuna Uncensored: This model, also by Eric Hartford, is available in 7B, 13B, and 30B parameter sizes .
  • Dolphin-Mistral: Created by Eric Hartford, this model is based on Mistral and is known for handling sensitive topics .
  • Dolphincoder: Fine-tuned from Mixtral 8x7b by Eric Hartford, this model excels at code generation .
  • Nous Hermes Llama 2 13B: This uncensored model, based on Llama 2, is known for long responses and a lower hallucination rate .

Ollama also offers other uncensored LLMs, providing users with diverse options .

Capabilities and Limitations

Uncensored LLMs have unique capabilities but also limitations:

Capabilities

  • Enhanced Creativity: Uncensored models can generate more diverse and creative text formats .
  • Open Responses: These models provide honest and unbiased responses, even to sensitive questions .
  • Improved Accuracy: In certain domains, uncensored models may be more accurate .

Limitations

  • Harmful Content: Uncensored models may produce harmful or offensive outputs .
  • Misinformation and Bias: These models may generate misinformation or perpetuate biases .
  • Ethical Concerns: The use of uncensored LLMs raises ethical concerns .

It's important to recognize the trade-off between freedom of expression and responsible AI use .

Comparison of Uncensored LLMs

Here's a comparison of some key models on Ollama:

Model Size (Parameters) Capabilities Intended Use Cases
Llama 2 Uncensored 7B, 70B General purpose Content creation, code generation, research
WizardLM Uncensored 13B General purpose Content creation, research, dialogue generation
Wizard Vicuna Uncensored 7B, 13B, 30B General purpose Content creation, code generation, research
Dolphin-Mistral 7B Deeper conversations Exploring complex ideas, addressing sensitive issues
Dolphincoder 8x7B Code generation Software development, code completion
Nous Hermes Llama 2 13B 13B Long responses Instruction following, question answering

Consider factors like model size, capabilities, and intended use cases when choosing a model .

Examples of Use

Uncensored LLMs can be used for:

  • Content Creation: Writing stories, poems, code, etc..
  • Code Generation: Generating code in various programming languages .
  • Research and Analysis: Exploring controversial topics and gathering diverse perspectives .
  • Education and Training: Creating interactive learning experiences .

Benefits and Risks

Benefits:

  • Privacy and Security: Enhanced privacy and security when running models locally .
  • Increased Efficiency: Reduced inference time compared to cloud-based platforms .
  • Cost Savings: Lower costs associated with cloud computing .
  • Customization: Greater control over models and their use.

Risks:

  • Security Vulnerabilities: Potential security risks .
  • Resource Requirements: May require significant computational resources .
  • Maintenance: Users are responsible for maintenance and updates.

The availability of uncensored LLMs raises questions about acceptable content and highlights the need for ethical considerations .

Conclusion

Uncensored LLMs on Ollama offer a unique opportunity to explore language models without censorship. Use them responsibly and be aware of their limitations and risks. Mitigate risks by critically evaluating content, verifying information, and using the models ethically.

The future of uncensored LLMs involves discussions about AI safety, ethics, and societal impact. Finding a balance between innovation and responsible development is crucial. By understanding the capabilities, limitations, and ethical considerations, users can leverage these tools effectively and contribute to responsible AI development.

References

https://ollama.ai/library/llama2-uncensored https://ollama.ai/library/wizardlm-uncensored https://ollama.ai/library/wizard-vicuna-uncensored https://ollama.ai/library/dolphin-mistral https://ollama.ai/library/dolphincoder https://ollama.ai/library/nous-hermes-llama2-13b https://ollama.ai/library https://bdtechtalks.com/2023/07/17/uncensored-large-language-models/ https://venturebeat.com/ai/why-researchers-are-building-uncensored-large-language-models/ https://www.theguardian.com/technology/2023/jul/21/ai-chatbots-uncensored-language-models-danger https://huggingface.co/TheBloke/Llama-2-7B-Uncensored-GGML https://github.com/facebookresearch/llama https://www.timeshighereducation.com/campus/how-prepare-students-age-generative-ai https://ollama.ai/ https://www.fastcompany.com/90884902/meta-is-releasing-its-powerful-llama-2-ai-language-model-for-free https://www.bleepingcomputer.com/news/security/researchers-find-ways-to-jailbreak-metas-llama-2-large-language-model/ https://arstechnica.com/information-technology/2023/07/meta-releases-open-source-ai-model-llama-2-that-can-rival-googles-and-openais/