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license: llama3.1 |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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# Meta-Llama-3.1-8B-Instruct Quantized Model |
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This repository contains the quantized version of the **Meta-Llama-3.1-8B-Instruct** model, optimized for efficient inference and deployment. The quantization was performed by the **IPROPEL Team** at **VIT Chennai**. |
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## Model Overview |
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**Meta-Llama-3.1-8B-Instruct** is a powerful instruction-following model developed to generate human-like text, assist with various tasks, and answer questions. With 8 billion parameters, this model is capable of handling a wide range of tasks efficiently. |
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### Quantization Details |
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Quantization is a model compression technique that reduces the size of the model without significantly sacrificing performance. The quantized version of the Meta-Llama-3.1-8B-Instruct model available here allows for: |
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- **Reduced Memory Usage**: Lower RAM and GPU memory consumption. |
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- **Faster Inference**: Speeds up inference time, enabling quicker responses in production environments. |
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- **Smaller Model Size**: Easier to store and deploy on devices with limited storage. |
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### Key Features |
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- **Model Name**: Meta-Llama-3.1-8B-Instruct (Quantized) |
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- **Tool Used**: [llama.cpp](https://github.com/ggerganov/llama.cpp) |
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- **Maintained by**: IPROPEL Team, VIT Chennai |
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