WizardLM-Uncensored-Falcon-7b
Maintainer: cognitivecomputations
55
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
WizardLM-Uncensored-Falcon-7b is a large language model trained by cognitivecomputations using the Falcon-7B model as a base. It was trained on a subset of the original dataset, with responses containing alignment or moralizing removed. The goal is to create a more neutral WizardLM model, allowing alignment to be added separately if desired.
Similar models provided by the maintainer include the WizardLM-Uncensored-Falcon-40b, WizardLM-7B-Uncensored, WizardLM-13B-Uncensored, and WizardLM-Uncensored-Falcon-7B-GPTQ.
Model inputs and outputs
WizardLM-Uncensored-Falcon-7b is a text-to-text model, taking in textual prompts and generating text responses. The input prompts follow a specific format:
Inputs
- Prompt: A text prompt for the model to generate a response to, following the WizardLM format.
Outputs
- Response: The model's generated text response to the provided prompt.
Capabilities
WizardLM-Uncensored-Falcon-7b can be used for a variety of natural language tasks, such as open-ended conversation, question answering, summarization, and creative writing. By removing the built-in alignment and moralizing from the original WizardLM, it provides a more neutral foundation that can be further customized for specific use cases.
What can I use it for?
The lack of built-in alignment makes WizardLM-Uncensored-Falcon-7b well-suited for applications where a more flexible, customizable language model is required. This could include chatbots, content generation tools, research assistants, and creative writing applications. The model can be fine-tuned or combined with additional techniques like RLHF to imbue it with desired traits or behaviors.
Things to try
Given the uncensored nature of this model, it's important to carefully consider the potential implications and use cases. Responsible use and monitoring is crucial. Some interesting things to explore could include:
- Fine-tuning the model on specific datasets to optimize it for particular tasks or domains.
- Combining the model with RLHF techniques to instill desired behaviors and traits.
- Exploring the model's capabilities for open-ended conversation, creative writing, and task-oriented dialogue.
- Investigating ways to safely deploy the model in real-world applications while mitigating potential risks.
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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WizardLM-Uncensored-Falcon-40b
93
The WizardLM-Uncensored-Falcon-40b is an AI model developed by cognitivecomputations that has been trained on a subset of the dataset used for the Falcon-40B-Instruct model. The intent behind this model is to remove the built-in alignment and moralizing responses, allowing the model to be used as a base for adding separate alignment (via techniques like RLHF LoRA) if desired. Similar models include the WizardLM-13B-Uncensored, WizardLM-7B-Uncensored, WizardLM-Uncensored-Falcon-40B-GPTQ, and WizardLM-30B-Uncensored, all of which are variations of the WizardLM model trained on different-sized versions of the Falcon language model. Model inputs and outputs The WizardLM-Uncensored-Falcon-40b is a text-to-text transformer model, meaning it takes text as input and generates text as output. The input format is specified as "Prompt format is WizardLM", but no further details are provided. Inputs Text prompts in the "WizardLM" format Outputs Generated text responses to the input prompts Capabilities The WizardLM-Uncensored-Falcon-40b model is designed to provide more open-ended and less constrained language generation compared to models with built-in alignment and moralizing. This allows for more flexibility in how the model can be used, but also means the outputs may be less controlled. What can I use it for? The WizardLM-Uncensored-Falcon-40b model could be useful for a variety of text generation tasks, such as creative writing, conversational AI, and language modeling. Since the model has had the alignment and moralizing responses removed, it may be a good starting point for adding custom alignment or other fine-tuning to create specialized language models for specific use cases. Things to try With the uncensored nature of this model, it's important to be cautious and responsible in how you use the generated outputs. Experimenting with prompts to see the range of responses the model can produce could yield interesting results, but care should be taken to avoid generating harmful or unethical content. Consider fine-tuning the model with your own data or techniques like RLHF to align the output with your desired goals and values.
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WizardLM-7B-Uncensored
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WizardLM-7B-Uncensored is an AI language model created by cognitivecomputations. It is a version of the WizardLM model that has had responses containing "alignment / moralizing" removed from the training dataset. This was done with the intent of creating a WizardLM that does not have alignment built-in, allowing alignment to be added separately if desired, such as through reinforcement learning. Similar models include the WizardLM-13B-Uncensored and WizardLM-7B-uncensored-GPTQ models, which share a similar goal of providing an "uncensored" WizardLM without built-in alignment. Model inputs and outputs WizardLM-7B-Uncensored is a text-to-text AI model, meaning it takes text input and generates text output. The model can be used for a variety of natural language processing tasks, such as language generation, summarization, and question answering. Inputs Text prompts**: The model accepts free-form text prompts as input, which it then uses to generate relevant and coherent text output. Outputs Generated text**: The model's primary output is generated text, which can range from short phrases to longer multi-sentence responses, depending on the input prompt. Capabilities WizardLM-7B-Uncensored has a wide range of capabilities, including generating human-like text, answering questions, and engaging in open-ended conversations. While the model has had alignment-related content removed from its training, it may still exhibit biases or generate controversial content, so caution is advised when using it. What can I use it for? WizardLM-7B-Uncensored can be used for a variety of applications, such as: Content generation**: The model can be used to generate text for things like articles, stories, or social media posts. Chatbots and virtual assistants**: The model's language generation capabilities can be leveraged to build conversational AI agents. Research and experimentation**: The model's "uncensored" nature makes it an interesting subject for researchers and AI enthusiasts to explore and experiment with. However, it's important to note that the lack of built-in alignment or content moderation means that users are responsible for the content generated by the model and should exercise caution when using it. Things to try One interesting thing to try with WizardLM-7B-Uncensored is to experiment with different prompting techniques to see how the model responds. For example, you could try providing the model with more structured or specialized prompts to see if it can generate content that aligns with your specific requirements. Additionally, you could explore the model's capabilities in areas like creative writing, task-oriented dialogue, or general knowledge exploration.
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WizardLM-13B-Uncensored
537
WizardLM-13B-Uncensored is a large language model created by cognitivecomputations that has had alignment-focused content removed from its training dataset. The intent is to train a WizardLM model without built-in alignment, so that alignment can be added separately using techniques like reinforcement learning from human feedback (RLHF). Similar uncensored models available include the WizardLM-7B-Uncensored-GPTQ and WizardLM-30B-Uncensored-GPTQ models, also provided by the maintainer TheBloke. Model inputs and outputs Inputs Text prompts**: The model takes in text prompts as input, which can be of varying lengths. Outputs Text generation**: The model generates coherent, fluent text in response to the input prompt. Capabilities The WizardLM-13B-Uncensored model can be used for a variety of natural language processing tasks, such as text generation, summarization, and language understanding. As an uncensored model, it has fewer built-in limitations compared to some other language models, allowing for more open-ended and unfiltered text generation. What can I use it for? This model could be used for creative writing, story generation, dialogue systems, and other applications where open-ended, unfiltered text is desired. However, as an uncensored model, it is important to carefully consider the potential risks and use the model responsibly. Things to try You could try providing the model with prompts on a wide range of topics and observe the types of responses it generates. Additionally, you could experiment with different decoding parameters, such as temperature and top-k/top-p sampling, to adjust the level of creativity and risk in the generated text.
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WizardLM-Uncensored-Falcon-7B-GPTQ
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WizardLM-Uncensored-Falcon-7B-GPTQ is an experimental 4-bit GPTQ model for Eric Hartford's WizardLM-Uncensored-Falcon-7B. It was created by TheBloke using the AutoGPTQ tool. This model is part of a set of quantized models for the WizardLM-Uncensored-Falcon-7B, including GPTQ and GGML variants. It is smaller and more compact than the original model, aiming to provide a balance of performance and resource efficiency. Model inputs and outputs Inputs Text prompts Outputs Generative text responses Capabilities The WizardLM-Uncensored-Falcon-7B-GPTQ model is capable of generating coherent and contextual text based on the input prompts. It can engage in open-ended conversations, provide informative responses, and demonstrate creativity and imagination. The model has been trained on a large corpus of data, allowing it to draw from a broad knowledge base. What can I use it for? You can use WizardLM-Uncensored-Falcon-7B-GPTQ for a variety of natural language processing tasks, such as chatbots, content generation, and creative writing assistance. The uncensored nature of the model means it can be used for more open-ended and experimental applications, but it also requires additional caution and responsibility from the user. Things to try One interesting aspect of WizardLM-Uncensored-Falcon-7B-GPTQ is its ability to generate diverse and imaginative responses. You could try providing it with open-ended prompts or creative writing scenarios and see what kinds of unique and unexpected outputs it generates. Additionally, you could experiment with using different temperature and sampling settings to explore the model's range of capabilities.
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