wizard-vicuna-13b-uncensored
Maintainer: lucataco - Last updated 10/21/2024
Model overview
wizard-vicuna-13b-uncensored
is an AI model created by lucataco that is a version of the Wizard-Vicuna-13B model with responses containing alignment or moralizing removed. The intent is to train a WizardLM model that does not have alignment built-in, so that alignment can be added separately using techniques like Reinforcement Learning from Human Feedback (RLHF).
This uncensored model is part of a series of related models including the Wizard-Vicuna-7B-Uncensored, Wizard-Vicuna-30B-Uncensored, WizardLM-7B-Uncensored, and WizardLM-13B-Uncensored models created by the same maintainer.
Model inputs and outputs
Inputs
- prompt: The text prompt to generate output from.
- max_new_tokens: The maximum number of new tokens the model should generate as output, up to 2048.
- temperature: The value used to modulate the next token probabilities, controlling the "creativity" of the output.
- top_p: A probability threshold for generating the output, where only the top tokens with cumulative probability greater than or equal to this value are considered.
- top_k: The number of highest probability tokens to consider for generating the output.
- presence_penalty: A penalty applied to tokens based on their previous presence in the generated text.
- frequency_penalty: A penalty applied to tokens based on their frequency in the generated text.
- prompt_template: A template used to format the prompt, with the actual prompt text inserted using the
{prompt}
placeholder.
Outputs
- The generated text, which can be a continuation of the provided prompt or a completely new piece of text.
Capabilities
The wizard-vicuna-13b-uncensored
model can be used to generate human-like text on a wide variety of topics, from creative writing to task-oriented prompts. It has demonstrated strong performance on benchmarks such as the Open LLM Leaderboard, scoring highly on tasks like the AI2 Reasoning Challenge, HellaSwag, and MMLU.
What can I use it for?
This uncensored model could be used for a variety of creative and experimental applications, such as generating stories, poems, or dialogue. It could also be useful for tasks like language translation, text summarization, or even code generation. However, due to the lack of built-in alignment, users should be cautious about the potential misuse of the model and take responsibility for any content it generates.
Things to try
One interesting aspect of the wizard-vicuna-13b-uncensored
model is that it can be used as a starting point for further fine-tuning or prompt engineering. By experimenting with different input prompts, temperature settings, and other parameters, users may be able to coax the model into generating outputs that align with their specific use cases or preferences. Additionally, the model could be used in conjunction with other AI tools, such as image generation models, to create multimodal content.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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The vicuna-13b-v1.3 is a language model developed by the lmsys team. It is based on the Llama model from Meta, with additional training to instill more capable and ethical conversational abilities. The vicuna-13b-v1.3 model is similar to other Vicuna-based models and the Llama 2 Chat models in that they all leverage the strong language understanding and generation capabilities of Llama while fine-tuning for more natural, engaging, and trustworthy conversation. Model inputs and outputs The vicuna-13b-v1.3 model takes a single input - a text prompt - and generates a text response. The prompt can be any natural language instruction or query, and the model will attempt to provide a relevant and coherent answer. The output is an open-ended text response, which can range from a short phrase to multiple paragraphs depending on the complexity of the input. Inputs Prompt**: The natural language instruction or query to be processed by the model Outputs Response**: The model's generated text response to the input prompt Capabilities The vicuna-13b-v1.3 model is capable of engaging in open-ended dialogue, answering questions, providing explanations, and generating creative content across a wide range of topics. It has been trained to be helpful, honest, and harmless, making it suitable for various applications such as customer service, education, research assistance, and creative writing. What can I use it for? The vicuna-13b-v1.3 model can be used for a variety of applications, including: Conversational AI**: The model can be integrated into chatbots or virtual assistants to provide natural language interaction and task completion. Content Generation**: The model can be used to generate text for articles, stories, scripts, and other creative writing projects. Question Answering**: The model can be used to answer questions on a wide range of topics, making it useful for research, education, and customer support. Summarization**: The model can be used to summarize long-form text, making it useful for quickly digesting and understanding complex information. Things to try Some interesting things to try with the vicuna-13b-v1.3 model include: Engaging the model in open-ended dialogue to see the depth and nuance of its conversational abilities. Providing the model with creative writing prompts and observing the unique and imaginative responses it generates. Asking the model to explain complex topics, such as scientific or historical concepts, and evaluating the clarity and accuracy of its explanations. Pushing the model's boundaries by asking it to tackle ethical dilemmas or hypothetical scenarios, and observing its responses.
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The Wizard-Vicuna-13B-Uncensored model is an AI language model developed by cognitivecomputations and available on the Hugging Face platform. It is a version of the wizard-vicuna-13b model with a subset of the dataset - responses that contained alignment or moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with a RLHF LoRA. This model is part of a family of similar uncensored models, including the Wizard-Vicuna-7B-Uncensored, Wizard-Vicuna-30B-Uncensored, WizardLM-30B-Uncensored, WizardLM-33B-V1.0-Uncensored, and WizardLM-13B-Uncensored. Model inputs and outputs The Wizard-Vicuna-13B-Uncensored model is a text-to-text language model, which means it takes text as input and generates text as output. The model is trained to engage in open-ended conversations, answer questions, and complete a variety of natural language processing tasks. Inputs Text prompts**: The model accepts text prompts as input, which can be questions, statements, or other forms of natural language. Outputs Generated text**: The model generates text in response to the input prompt, which can be used for tasks such as question answering, language generation, and text completion. Capabilities The Wizard-Vicuna-13B-Uncensored model is a powerful language model that can be used for a variety of natural language processing tasks. It has shown strong performance on benchmarks such as the Open LLM Leaderboard, with high scores on tasks like the AI2 Reasoning Challenge, HellaSwag, and Winogrande. What can I use it for? The Wizard-Vicuna-13B-Uncensored model can be used for a wide range of natural language processing tasks, such as: Chatbots and virtual assistants**: The model can be used to build conversational AI systems that can engage in open-ended dialogue and assist users with a variety of tasks. Content generation**: The model can be used to generate text for a variety of applications, such as creative writing, article generation, and product descriptions. Question answering**: The model can be used to answer questions on a wide range of topics, making it useful for applications such as customer support and knowledge management. Things to try One interesting aspect of the Wizard-Vicuna-13B-Uncensored model is its "uncensored" nature. While this means the model has no built-in guardrails or alignment, it also provides an opportunity to explore how to add such safeguards separately, such as through the use of a RLHF LoRA. This could be an interesting area of experimentation for researchers and developers looking to push the boundaries of language model capabilities while maintaining ethical and responsible AI development.
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The Wizard-Vicuna-7B-Uncensored is a large language model developed by cognitivecomputations. It is based on the wizard-vicuna-13b model, but with a subset of the dataset - responses that contained alignment or moralizing were removed. The goal was to train a WizardLM that doesn't have alignment built-in, so that alignment can be added separately using techniques like RLHF LoRA. Similar models developed by the same maintainer include the Wizard-Vicuna-30B-Uncensored, WizardLM-30B-Uncensored, WizardLM-7B-Uncensored, and WizardLM-13B-Uncensored. These models share a similar intent of training a WizardLM without built-in alignment. Model Inputs and Outputs Inputs The Wizard-Vicuna-7B-Uncensored model accepts text inputs, which can be prompts or conversational inputs. Outputs The model generates text outputs, which can be used for a variety of language tasks such as summarization, text generation, and question answering. Capabilities The Wizard-Vicuna-7B-Uncensored model is capable of generating human-like text on a wide range of topics. It can be used for tasks like creative writing, dialogue generation, and task-oriented conversations. However, as an uncensored model, it lacks the safety guardrails that would prevent it from generating potentially harmful or biased content. What Can I Use It For? The Wizard-Vicuna-7B-Uncensored model could be used for experimental or research purposes, but great caution should be exercised when deploying it in production or public-facing applications. It may be better suited for individual use or closed-door experimentation, rather than public-facing applications. Potential use cases could include language model fine-tuning, dialogue systems research, or creative text generation, but the model's lack of safety filters means it should be used responsibly. Things to Try When working with the Wizard-Vicuna-7B-Uncensored model, it's important to carefully monitor the outputs and ensure they align with your intended use case. You may want to experiment with prompt engineering to steer the model's responses in a more controlled direction. Additionally, you could explore techniques like RLHF LoRA to add alignment and safety filters to the model, as mentioned in the model's description.
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