
Wizard Vicuna Uncensored 30B

Wizard Vicuna Uncensored 30B is a large language model developed by Cognitive Computations, a community-driven initiative. With 30b parameters, it is based on Llama 2 and designed to provide uncensored responses without alignment or moralizing influences in its training data. The model operates under an unspecified license, reflecting its open-source nature and focus on unrestricted generative capabilities.
Description of Wizard Vicuna Uncensored 30B
A large language model trained with a subset of data where alignment/moralizing responses were removed, aiming to create a model with no built-in alignment for separate customization. It emphasizes user responsibility for outputs and lacks guardrails, allowing unrestricted generative capabilities. The design prioritizes flexibility for users to adapt the model's behavior while avoiding predefined ethical constraints.
Parameters & Context Length of Wizard Vicuna Uncensored 30B
Wizard Vicuna Uncensored 30B has 30b parameters, placing it in the large model category, which offers powerful performance for complex tasks but requires significant computational resources. Its 4k context length is suitable for short to moderate tasks but limits its ability to handle very long texts efficiently. The model’s design prioritizes flexibility and user control, with no built-in alignment or guardrails, making it ideal for specialized applications where customization is critical.
- Parameter Size: 30b
- Context Length: 4k
Possible Intended Uses of Wizard Vicuna Uncensored 30B
Wizard Vicuna Uncensored 30B is a large language model designed for customization without built-in alignment, making it a possible tool for research, development, and education. Its lack of guardrails and focus on user responsibility suggest possible applications in exploring unfiltered language generation, testing model behavior under varied conditions, or creating specialized tools for non-sensitive tasks. However, the model’s design means that possible uses must be thoroughly investigated to ensure ethical and practical suitability. The absence of predefined constraints could enable creative experimentation but also requires careful evaluation of outcomes.
- research
- development
- education
Possible Applications of Wizard Vicuna Uncensored 30B
Wizard Vicuna Uncensored 30B is a large language model with 30b parameters and a 4k context length, designed for customization without built-in alignment, making it a possible tool for applications requiring unfiltered or highly adaptable responses. Possible uses could include exploring unbounded language generation for creative or experimental purposes, developing specialized tools for non-sensitive tasks, testing model behavior in controlled environments, or creating educational resources tailored to specific needs. These possible applications may benefit from the model’s flexibility but require careful evaluation to ensure alignment with ethical and practical goals. Each potential use case must be thoroughly assessed before deployment to address unforeseen challenges.
- research
- development
- education
- creative projects
Quantized Versions & Hardware Requirements of Wizard Vicuna Uncensored 30B
Wizard Vicuna Uncensored 30B’s medium q4 version requires a GPU with at least 24GB VRAM for efficient operation, making it suitable for systems with mid-to-high-end graphics cards. This quantization balances precision and performance, allowing the model to run on hardware with 24GB–40GB VRAM, though testing on specific hardware is essential to confirm compatibility. The model’s flexibility and lack of guardrails mean users must evaluate its performance and resource needs thoroughly before deployment.
fp16, q2, q3, q4, q5, q6, q8
Conclusion
Wizard Vicuna Uncensored 30B is a large language model with 30b parameters, based on Llama 2, designed to provide uncensored responses without alignment or moralizing influences, emphasizing user responsibility and flexibility. Its community-maintained nature and lack of guardrails make it a possible tool for specialized applications requiring unfiltered generative capabilities.