Einstein-v6.1-Llama3-8B
Maintainer: Weyaxi
56
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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 Einstein-v6.1-Llama3-8B is a fine-tuned version of the Meta-Llama-3-8B model, developed by Weyaxi. This model was trained on diverse datasets using 8xRTX3090 and 1xRTXA6000 GPUs with the axolotl framework. The training was sponsored by sablo.ai.
Model inputs and outputs
Inputs
- Textual prompts
Outputs
- Textual responses
Capabilities
The Einstein-v6.1-Llama3-8B model is a powerful language model capable of generating human-like text across a variety of tasks. It can be used for text generation, question answering, summarization, and more.
What can I use it for?
The Einstein-v6.1-Llama3-8B model can be used for a wide range of natural language processing tasks, such as chatbots, content generation, and language translation. It can be particularly useful for companies looking to automate customer service or create engaging content.
Things to try
Experiment with the Einstein-v6.1-Llama3-8B model to see how it performs on your specific natural language processing tasks. Try fine-tuning the model on your own data to further improve its performance for your use case.
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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