Wizard Vicuna Uncensored 13B - Details

Wizard Vicuna Uncensored 13B is a large language model developed by Cognitive Computations, a community-driven initiative. It features 13b parameters, making it a robust and scalable model for diverse applications. The model is based on Llama 2 and is designed to be uncensored, with training data that avoids alignment or moralizing responses. While the specific License_Name for this model is not explicitly stated, its open and community-focused approach reflects a commitment to accessibility and flexibility in deployment.

Wizard Vicuna Uncensored 13B is a variant of WizardLM trained without alignment or moralizing responses, allowing users to implement alignment through methods like RLHF LoRA. It emphasizes user responsibility as an uncensored model with no guardrails or restrictions, prioritizing open-ended and unrestricted interactions. The design avoids pre-defined ethical constraints, enabling flexibility but requiring users to manage content and behavior independently.

Wizard Vicuna Uncensored 13B has 13b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 4k token context length falls into the short context range, making it suitable for concise interactions but limiting its ability to process very long texts. The 13b parameter size allows for robust language understanding and generation while remaining accessible for deployment on standard hardware, whereas the 4k context length requires careful management of input length to avoid truncation or reduced effectiveness.

• Name: Wizard Vicuna Uncensored 13B
• Parameter Size: 13b
• Context Length: 4k
• Implications: Mid-scale parameters for balanced performance, short context for concise tasks but limited scalability for extended content.

Wizard Vicuna Uncensored 13B is a flexible model that could have possible applications in areas like general research, content creation, and educational purposes. Its uncensored design and lack of predefined guardrails mean that possible uses might include tasks requiring open-ended exploration or creative output, though these possible applications would need careful evaluation to ensure alignment with specific goals. The model’s 13b parameter size and 4k context length suggest it could handle moderate complexity, but possible uses in dynamic or specialized contexts would require testing and adaptation. Users should approach possible uses with awareness of the model’s characteristics and limitations.

• general research
• content creation
• educational purposes

Wizard Vicuna Uncensored 13B could have possible applications in areas like general research, content creation, educational purposes, and creative writing, though these possible uses would require careful consideration. Its uncensored nature and lack of predefined constraints might make it possible to explore open-ended tasks or generate diverse outputs, but possible applications in dynamic or specialized contexts would need thorough testing. The model’s 13b parameter size and 4k context length suggest it could handle moderate complexity, but possible uses in evolving or untested scenarios would demand rigorous evaluation. Users should approach possible applications with awareness of the model’s characteristics and limitations.

• general research
• content creation
• educational purposes
• creative writing

Wizard Vicuna Uncensored 13B with the medium q4 quantization requires a GPU with at least 16GB-32GB VRAM to run efficiently, making it suitable for systems with mid-range to high-end graphics cards. This version balances precision and performance, allowing possible applications on devices that meet these requirements. Users should verify their hardware compatibility before deployment.

• fp16, q2, q3, q4, q5, q6, q8

Wizard Vicuna Uncensored 13B is a 13b parameter large language model maintained by Cognitive Computations, designed to operate without alignment or moralizing constraints, allowing open-ended interactions. It features a 4k context length and emphasizes user responsibility, with potential applications in research, content creation, and education, though its uncensored nature requires careful evaluation for specific use cases.

Huggingface Model Page
Ollama Model Page