Wizard Vicuna Uncensored 7B - Details

Wizard Vicuna Uncensored 7B is a large language model developed by the community-driven maintainer Cognitive Computations. With 7b parameters, it is based on Llama 2 and designed to provide uncensored responses without alignment or moralizing influences from its training data. The model operates under a license that is not explicitly specified in available documentation.

A large language model trained against LLaMA-7B with a subset of the dataset, excluding responses containing alignment or moralizing content. Designed to allow separate alignment implementation via methods like RLHF LoRA. Emphasizes uncensored output without guardrails, requiring user responsibility for generated content.

The Wizard Vicuna Uncensored 7B model has 7b parameters, placing it in the small to mid-scale range of open-source LLMs, which typically offers efficient performance for simpler tasks but may lack the complexity handling of larger models. Its 4k context length falls within the short to moderate range, making it suitable for concise interactions but limiting its effectiveness for extended text processing. The 7b parameter size ensures faster inference and lower resource demands, while the 4k context length restricts the model’s ability to handle long-form content.

• Parameter Size: 7b
• Context Length: 4k

The Wizard Vicuna Uncensored 7B model could have possible uses in areas such as research, development, and educational purposes, where its uncensored nature and training on Llama 2 might allow for exploratory tasks or specialized applications. These possible uses could include testing new algorithms, experimenting with alignment techniques, or creating educational tools that require unfiltered responses. However, the model’s design and lack of guardrails mean that possible applications should be thoroughly investigated to ensure they align with ethical and practical standards. The purpose of the model is not to provide curated or moderated outputs but to offer a flexible foundation for users who want to implement their own alignment strategies. Possible uses in these domains might require additional safeguards or modifications depending on the context.

• research
• development
• educational purposes

The Wizard Vicuna Uncensored 7B model could have possible applications in areas such as academic research, where its uncensored training might support exploratory analysis or hypothesis testing. Possible uses could include software development, allowing developers to experiment with custom alignment techniques or code generation. Possible applications might also extend to educational tools, where its flexibility could enable tailored learning experiences or interactive content creation. Possible uses could further involve creative writing or language experimentation, leveraging its unfiltered responses for artistic or experimental purposes. Each of these possible applications requires careful evaluation to ensure alignment with specific goals and ethical considerations.

• academic research
• software development
• educational tools
• creative writing

The Wizard Vicuna Uncensored 7B model’s medium q4 version requires a GPU with at least 16GB VRAM (such as an RTX 3090) and 32GB system memory to run efficiently, balancing precision and performance for general use. This configuration ensures compatibility with mid-range hardware while maintaining reasonable inference speeds. Users should verify their GPU’s VRAM and system specifications to confirm suitability.

• fp16, q2, q3, q4, q5, q6, q8

The Wizard Vicuna Uncensored 7B is a community-maintained large language model with 7b parameters, based on Llama 2, designed to provide uncensored outputs without alignment or moralizing influences, emphasizing user responsibility for generated content. Its flexibility allows for custom alignment strategies but requires careful evaluation to ensure ethical and practical suitability.

Huggingface Model Page
Ollama Model Page