dolphin-2.9.4-llama3.1-8b
Maintainer: cognitivecomputations
62
✅
| 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 dolphin-2.9.4-llama3.1-8b model is a large language model curated and trained by Eric Hartford and Cognitive Computations. It is based on the Meta Llama 3.1 8b model and is governed by the Llama 3.1 license. This model has 128K context and was fine-tuned using 8192 sequence length. Similar models include the Dolphin 2.9 Llama 3 8b and Dolphin 2.9 Llama 3 8b - GGUF models, which were also curated by Cognitive Computations.
Model inputs and outputs
The dolphin-2.9.4-llama3.1-8b model is a text-to-text model that can be used for a variety of natural language tasks. It takes text prompts as input and generates relevant text responses.
Inputs
- Text prompts that can be in the form of questions, instructions, or open-ended requests
Outputs
- Generated text responses that aim to be helpful, informative, and tailored to the input prompt
Capabilities
The dolphin-2.9.4-llama3.1-8b model has a wide range of language understanding and generation capabilities. It can engage in open-ended conversations, follow instructions, answer questions, and even perform coding tasks. The model is particularly skilled at obeying system prompts and following instructions in multiple languages.
What can I use it for?
The dolphin-2.9.4-llama3.1-8b model can be used for a variety of applications that require natural language processing and generation, such as:
- Virtual assistants and chatbots
- Question answering and information retrieval
- Content generation (e.g. articles, stories, scripts)
- Code generation and programming assistance
- Language translation and multilingual applications
Given the model's uncensored nature, users are advised to implement their own alignment layer before deploying it in production to ensure ethical and responsible use, as outlined in this blog post by the maintainer.
Things to try
One interesting aspect of the dolphin-2.9.4-llama3.1-8b model is its ability to follow instructions and execute tasks in a wide range of domains. Users could try giving the model prompts that involve multi-step instructions or complex problem-solving, and see how it responds. Additionally, the model's multilingual capabilities could be explored by trying prompts in different languages.
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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