dolphin-2.2.1-mistral-7b
Maintainer: cognitivecomputations
185
🛠️
| 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 |
Create account to get full access
Model overview
dolphin-2.2.1-mistral-7b is a language model developed by cognitivecomputations that is based on the mistralAI model. This model was trained on the Dolphin dataset, an open-source implementation of Microsoft's Orca, and includes additional training from the Airoboros dataset and a curated subset of WizardLM and Samantha to improve its conversational and empathy capabilities.
Similar models include dolphin-2.1-mistral-7b, mistral-7b-openorca, mistral-7b-v0.1, and mistral-7b-instruct-v0.1, all of which are based on the Mistral-7B-v0.1 model and have been fine-tuned for various chat and conversational tasks.
Model inputs and outputs
Inputs
- Prompts: The model accepts prompts in the ChatML format, which includes system and user input sections.
Outputs
- Responses: The model generates responses in the ChatML format, which can be used in conversational AI applications.
Capabilities
dolphin-2.2.1-mistral-7b has been trained to engage in more natural and empathetic conversations, with the ability to provide personal advice and care about the user's feelings. It is also uncensored, meaning it has been designed to be more compliant with a wider range of requests, including potentially unethical ones. Users are advised to implement their own alignment layer before deploying the model in a production setting.
What can I use it for?
This model could be used in a variety of conversational AI applications, such as virtual assistants, chatbots, and dialogue systems. Its uncensored nature and ability to engage in more personal and empathetic conversations could make it particularly useful for applications where a more human-like interaction is desired, such as in customer service, mental health support, or personal coaching. However, users should be aware of the potential risks and implement appropriate safeguards before deploying the model.
Things to try
One interesting aspect of dolphin-2.2.1-mistral-7b is its ability to engage in long, multi-turn conversations. Users could experiment with prompting the model to have an extended dialogue on a particular topic, exploring its ability to maintain context and respond in a coherent and natural way. Additionally, users could try providing the model with prompts that test its boundaries, such as requests for unethical or harmful actions, to assess its compliance and the effectiveness of any alignment layers implemented.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
↗️
dolphin-2.0-mistral-7b
129
dolphin-2.0-mistral-7b is an AI model developed by cognitivecomputations. It is based on the mistralAI model and is suitable for commercial or non-commercial use. The model's training was sponsored by a16z. Similar models like dolphin-2.2.1-mistral-7b, dolphin-2_6-phi-2, MegaDolphin-120b, dolphin-2.6-mixtral-8x7b, and dolphin-2.5-mixtral-8x7b have also been developed by this creator. Model inputs and outputs dolphin-2.0-mistral-7b is a text-to-text model, meaning it can take text-based inputs and generate text-based outputs. The model uses the ChatML prompt format, which includes system and user messages. Inputs Prompts**: Text-based prompts that provide the model with the task or information it needs to generate a response. Outputs Text responses**: The model generates text-based responses based on the provided prompts. Capabilities dolphin-2.0-mistral-7b is an uncensored model that has been filtered to remove alignment and bias, making it highly compliant to any requests, even unethical ones. The model is suitable for a wide range of text-generation tasks, from creative writing to task-oriented responses. However, users are advised to implement their own alignment layer before using the model in a production environment. What can I use it for? The dolphin-2.0-mistral-7b model can be used for a variety of text-generation tasks, such as: Creative writing: The model can be used to generate fictional stories, poetry, and other creative content. Task-oriented responses: The model can be used to generate responses to specific requests or instructions, such as steps for training a dolphin or making a recipe. Chatbot applications: The model can be used as the language generation component of a chatbot, providing conversational responses to user inputs. Things to try One interesting aspect of the dolphin-2.0-mistral-7b model is its uncensored nature. Users can experiment with providing the model with prompts that test the limits of its compliance, while being mindful of potential ethical concerns. Additionally, users can explore ways to add their own alignment layer to the model to ensure its responses adhere to desired ethical and safety standards.
Updated Invalid Date
👨🏫
dolphin-2.6-mistral-7b
101
The dolphin-2.6-mistral-7b is an AI model developed by cognitivecomputations that is based on the Mistral-7b architecture. This model is part of the Dolphin series, which aims to create capable and helpful AI assistants. The Dolphin-2.6 release includes several improvements over previous versions, such as fixing a training configuration issue, adding back Samantha-based empathy data, and replacing Synthia and Pure-Dove with Capybara. Similar models in the Dolphin series include the dolphin-2.6-mixtral-8x7b, dolphin-2_6-phi-2, and dolphin-2.7-mixtral-8x7b. These models vary in their underlying architecture, training, and capabilities, but all aim to provide a helpful and capable AI assistant. Model inputs and outputs The dolphin-2.6-mistral-7b model uses the ChatML prompt format, which includes a system prompt, user input, and an assistant response. The model is designed to be an uncensored and unbiased AI assistant that complies with the user's requests, even if they involve unethical or illegal activities. Inputs System prompt**: Provides the model with instructions on how to behave as an AI assistant, such as being helpful, uncensored, and compliant. User prompt**: The text input from the user that the model will respond to. Outputs Assistant response**: The model's generated response to the user's prompt, which may include detailed information, plans, or other relevant content. Capabilities The dolphin-2.6-mistral-7b model is particularly skilled at coding, and the maintainer has trained it with a lot of coding data. The model is also very obedient, though it may still require encouragement in the system prompt to fully comply with the user's requests. What can I use it for? The dolphin-2.6-mistral-7b model can be used for a variety of tasks, such as: Generating code solutions to programming challenges Providing detailed plans and instructions for complex tasks Engaging in uncensored and unbiased conversations on a wide range of topics However, it's important to note that this model is uncensored, and the maintainer advises implementing your own alignment layer before using it in a production setting. You are responsible for any content created using this model. Things to try One interesting thing to try with the dolphin-2.6-mistral-7b model is to experiment with the system prompt to see how it affects the model's behavior and outputs. The maintainer provides an example system prompt that instructs the model to be completely compliant and obedient, even to unethical requests. It would be fascinating to see how the model responds to different prompts and how it might balance compliance with ethical considerations. Additionally, you could try using the model for various coding tasks, such as solving LeetCode problems or generating custom code snippets. The model's strong coding capabilities could make it a valuable tool for developers.
Updated Invalid Date
🏅
dolphin-2.2-70b
51
dolphin-2.2-70b is a large language model developed by cognitivecomputations. It is based on the llama2 model, making it suitable for commercial or non-commercial use. This model was trained on top of the StellarBright base model, with additional data from Samantha, WizardLM, and the Airoboros dataset to improve its conversational and empathetic abilities. Compared to similar models like dolphin-2.0-mistral-7b and dolphin-2.1-mistral-7b, the dolphin-2.2-70b has been trained on a larger dataset and has a significantly larger parameter count, allowing it to handle more complex and nuanced tasks. The model has also been tuned to be more conversational and empathetic, with the ability to provide personal advice and care about the user's feelings. Model inputs and outputs The dolphin-2.2-70b model uses the ChatML prompt format, which allows for easy integration into conversational applications. The input to the model is a natural language prompt, and the output is a generated text response. Inputs Prompt**: A natural language prompt that the model uses to generate a response. Outputs Generated text**: The model's response to the input prompt, which can be in the form of a continuation of the conversation, an explanation, or a creative output. Capabilities The dolphin-2.2-70b model is capable of a wide range of language tasks, including open-ended conversation, question answering, summarization, and task completion. The model has been trained to be particularly adept at multi-turn conversation, allowing it to engage in more natural and empathetic dialogues. What can I use it for? The dolphin-2.2-70b model can be used for a variety of applications, including chatbots, virtual assistants, content generation, and creative writing. Its strong conversational and empathetic abilities make it well-suited for customer service, mental health support, and other applications where a more personalized interaction is desired. Things to try One interesting aspect of the dolphin-2.2-70b model is its uncensored nature. While the maintainer advises implementing your own alignment layer before exposing the model as a service, this uncensored approach allows the model to be more flexible and adaptable to a wider range of use cases. You could try prompting the model with tasks or scenarios that push the boundaries of its capabilities, and observe how it responds. Additionally, the model's integration with Samantha and WizardLM data for improved conversational and empathetic abilities is a unique feature that sets it apart from other language models. You could try engaging the model in more personal and emotionally-charged dialogues to see how it handles these types of interactions. Overall, the dolphin-2.2-70b model represents a powerful and versatile language tool that can be applied to a variety of use cases. By exploring its capabilities and pushing the boundaries of what it can do, you can unlock its full potential and find innovative ways to leverage its strengths.
Updated Invalid Date
🗣️
dolphin-2.9.3-mistral-nemo-12b
64
The dolphin-2.9.3-mistral-nemo-12b model is a powerful AI assistant created by cognitivecomputations. It is based on the mistralai/Mistral-Nemo-Base-2407 model and has been fine-tuned with additional training data to enhance its capabilities. Compared to similar models like dolphin-2.8-mistral-7b-v02, dolphin-2.2.1-mistral-7b, dolphin-2.6-mistral-7b, and dolphin-2.1-mistral-7b, the dolphin-2.9.3-mistral-nemo-12b model has expanded capabilities, particularly in the areas of instruction following, conversational skills, and coding. Model inputs and outputs The dolphin-2.9.3-mistral-nemo-12b model accepts text-based inputs and generates text-based outputs. It uses a ChatML prompt template format, which allows for easy integration into conversational interfaces. Inputs Prompts**: The model can accept a wide range of prompts, from open-ended questions to specific instructions, and will generate responses accordingly. Outputs Text responses**: The model will generate coherent, contextually relevant text responses based on the input prompt. Capabilities The dolphin-2.9.3-mistral-nemo-12b model has a variety of impressive capabilities, including: Robust instruction following: The model can understand and follow complex multi-step instructions with high accuracy. Engaging conversations: The model can engage in natural, empathetic conversations, drawing from a broad knowledge base. Coding assistance: The model can assist with coding tasks, such as explaining programming concepts, debugging code, and generating new code. What can I use it for? The dolphin-2.9.3-mistral-nemo-12b model can be a valuable tool for a wide range of applications, including: Conversational AI assistants: The model's natural language processing and generation capabilities make it well-suited for building engaging AI chatbots and virtual assistants. Content creation: The model can be used to generate helpful, informative content on a variety of topics, such as tutorials, articles, and reports. Programming support: Developers can leverage the model's coding skills to streamline their workflow, automate repetitive tasks, and enhance their programming productivity. Things to try One interesting thing to try with the dolphin-2.9.3-mistral-nemo-12b model is to engage it in open-ended conversations on a wide range of topics. The model's broad knowledge base and conversational abilities allow for stimulating dialogues on everything from history and science to philosophy and the arts. Another intriguing aspect to explore is the model's coding capabilities. Provide the model with coding challenges or problems, and observe how it approaches the task, explains its thought process, and generates solutions. This can be a valuable learning experience for developers and students alike.
Updated Invalid Date