persimmon-8b-chat
Maintainer: adept
42
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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
The persimmon-8b-chat model is an AI language model developed by Adept, a company working towards an AI agent that can help people with a wide range of computer-based tasks. This 8 billion parameter model was trained from scratch with a large context size of 16,000 tokens, which is four times larger than LLaMA2 and eight times larger than GPT-3 and MPT. The model has been fine-tuned for chat completion, making it well-suited for conversational tasks.
Compared to similar models like the llama-2-7b-chat from Meta, the persimmon-8b-chat model has a significantly larger context size, which can be beneficial for maintaining coherence and context in longer conversations. The meta-llama-3-70b-instruct and meta-llama-3-8b-instruct models from Meta also offer large language models for conversational tasks, with the 70 billion parameter version being particularly impressive in scale.
Model inputs and outputs
The persimmon-8b-chat model takes natural language input in the form of queries or prompts, and generates responses in natural language. The model is designed to engage in open-ended chat, with the ability to maintain context and coherence across multiple turns of conversation.
Inputs
- Natural language queries or prompts
Outputs
- Natural language responses, generated based on the input and the model's understanding of the context
Capabilities
The persimmon-8b-chat model is capable of engaging in coherent and contextual chat, drawing upon its large knowledge base and conversational abilities. It can respond to a wide range of queries, ask and answer questions, and demonstrate empathy and personality as appropriate for the situation.
What can I use it for?
The persimmon-8b-chat model could be useful for a variety of applications that require natural language interaction, such as customer service chatbots, virtual assistants, or educational tools. The model's large context size and conversational abilities make it well-suited for tasks that require maintaining coherence and continuity over multiple turns of dialogue.
Things to try
One interesting aspect of the persimmon-8b-chat model is its ability to engage in long-form, contextual conversations due to its large context size. Users could experiment with prompting the model to maintain a coherent narrative or discussion over an extended period of time, testing its capabilities for sustained, engaging dialogue.
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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