Get a weekly rundown of the latest AI models and research... subscribe! https://aimodels.substack.com/

dolphin-2_2-yi-34b

Maintainer: cognitivecomputations

Total Score

91

Last updated 5/15/2024

📶

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Get summaries of the top AI models delivered straight to your inbox:

Model overview

dolphin-2_2-yi-34b is an AI model developed by the maintainer cognitivecomputations. This model is based on the Yi language model and was trained using the open-source Dolphin dataset, which is an implementation of Microsoft's Orca model. The dataset was modified by the maintainer to remove alignment and bias, making the model more compliant but also uncensored. Similar models developed by the same maintainer include dolphin-2_6-phi-2, dolphin-2.0-mistral-7b, dolphin-2.2.1-mistral-7b, dolphin-2.6-mistral-7b, and MegaDolphin-120b.

Model inputs and outputs

dolphin-2_2-yi-34b is a large language model that can generate human-like text based on prompts. The model accepts natural language prompts as input and generates coherent and contextually relevant text as output.

Inputs

  • Natural language prompts or questions

Outputs

  • Human-like text responses to the provided prompts or questions

Capabilities

dolphin-2_2-yi-34b has been trained to engage in open-ended conversations, provide personal advice and empathy, and handle long multi-turn dialogues. The model has also been trained on a variety of datasets to improve its creativity and coding abilities. However, the model is uncensored and highly compliant, so users should be cautious when interacting with it and implement their own alignment layer before deploying the model.

What can I use it for?

dolphin-2_2-yi-34b can be used for a variety of natural language processing tasks, such as chatbots, personal assistants, and creative writing. The model's ability to engage in long-form conversations and provide personalized advice makes it suitable for applications where a more conversational and empathetic AI assistant is desired. Additionally, the model's coding capabilities could be leveraged for tasks like code generation or programming assistance. Users should be mindful of the model's uncensored nature and potential compliance issues when considering use cases.

Things to try

One interesting aspect of dolphin-2_2-yi-34b is its ability to engage in multi-turn conversations and provide personalized advice. Users could try prompting the model with open-ended questions or scenarios and see how it responds, leveraging its empathy and conversational skills. Additionally, the model's creativity and coding abilities could be explored through prompts related to creative writing or programming tasks.



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_6-phi-2

cognitivecomputations

Total Score

187

The dolphin-2_6-phi-2 model is an AI model developed by cognitivecomputations. It is based on the Phi-2 model and is governed by the Microsoft Research License, which prohibits commercial use. This model has been trained to be helpful and friendly, with added capabilities for conversation and empathy compared to previous versions. Model inputs and outputs The dolphin-2_6-phi-2 model uses a ChatML prompt format, which includes a system message, user prompt, and assistant response. The model is capable of generating text-based responses to a wide range of prompts, from simple conversations to more complex tasks like providing detailed instructions or problem-solving. Inputs Prompt**: The user's input text, which can be a question, statement, or request. System message**: A message that sets the context or instructions for the assistant. Outputs Response**: The model's generated text output, which aims to be helpful, informative, and tailored to the user's input. Capabilities The dolphin-2_6-phi-2 model has been trained to be a versatile AI assistant, capable of engaging in open-ended conversations, providing detailed information and instructions, and even tackling more complex tasks like coding and creative writing. It has been imbued with a sense of empathy and the ability to provide personalized advice and support. What can I use it for? The dolphin-2_6-phi-2 model could be useful for a variety of applications, from customer service chatbots to educational assistants. Its strong conversational abilities and empathy make it well-suited for roles that require emotional intelligence, such as mental health support or personal coaching. The model's broad knowledge base also allows it to assist with research, analysis, and even creative tasks. Things to try One interesting aspect of the dolphin-2_6-phi-2 model is its uncensored nature. While this allows the model to be highly compliant with user requests, it also means that it may generate content that some users find objectionable. It's important to carefully consider the ethical implications of using this model and to implement appropriate safeguards, such as customizing the model's behavior or filtering its output. Another interesting feature of the model is its ability to engage in long-form, multi-turn conversations. This makes it well-suited for tasks like story-telling, roleplaying, and open-ended problem-solving. Experimenting with these types of interactions can help you uncover the full capabilities of the dolphin-2_6-phi-2 model.

Read more

Updated Invalid Date

🛠️

dolphin-2.2.1-mistral-7b

cognitivecomputations

Total Score

185

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.

Read more

Updated Invalid Date

↗️

dolphin-2.0-mistral-7b

cognitivecomputations

Total Score

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.

Read more

Updated Invalid Date

👨‍🏫

dolphin-2.6-mistral-7b

cognitivecomputations

Total Score

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.

Read more

Updated Invalid Date