arcee-ai
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Mistral-7B-Instruct-v0.2-sliced-24-layer

Text Generation

text-generation-inference

Inference Endpoints

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Shamane commited on Apr 11

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 ## Quick Summary
 This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimize its structure, focusing on reducing redundancy within the model's deeper layers without compromising its ability to generate coherent text. The model is maintained by Arcee-ai and represents a practical implementation of computational efficiency improvements in Large Language Models (LLMs), aiming to balance performance with resource usage effectively.
 ### Model Description

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 ## Quick Summary
+![image/webp](https://cdn-uploads.huggingface.co/production/uploads/654aa1d86167ff03f70e32f9/vIvhuhwz99E-3xWvyTKi2.webp)
 This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimize its structure, focusing on reducing redundancy within the model's deeper layers without compromising its ability to generate coherent text. The model is maintained by Arcee-ai and represents a practical implementation of computational efficiency improvements in Large Language Models (LLMs), aiming to balance performance with resource usage effectively.
 ### Model Description