gguf endpoints_compatible region:us conversational
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### Model Card: Meta-Llama-3.1-8B-Instruct-gguf

#### Overview
This covers the following three variants of the Meta-Llama-3.1-8B-Instruct model:

1. **Meta-Llama-3.1-8B-Instruct.gguf**: The standard version of the Meta-Llama-3.1 model, fine-tuned for instruction-following tasks.
2. **Meta-Llama-3.1-8B-Instruct_Q8.gguf**: A quantized version of the Meta-Llama-3.1 model using 8-bit integers, offering a balance between performance and efficiency.
3. **Meta-Llama-3.1-8B-Instruct-q4_0.gguf**: A quantized version using 4-bit integers, optimized for environments with limited computational resources.

#### Model Details

- **Architecture**: Transformer-based model with 8 billion parameters.
- **Applications**: Suitable for a wide range of natural language understanding and generation tasks, such as question answering, summarization, and dialogue systems.

#### Model Variants

1. **Meta-Llama-3.1-8B-Instruct.gguf**
   - **Precision**: Full precision (FP16).
   - **Use Case**: Best for environments where accuracy is prioritized over computational efficiency.
   
2. **Meta-Llama-3.1-8B-Instruct_Q8.gguf**
   - **Precision**: 8-bit quantization.
   - **Use Case**: Suitable for deployments where a balance between performance and resource efficiency is needed.
   
3. **Meta-Llama-3.1-8B-Instruct-q4_0.gguf**
   - **Precision**: 4-bit quantization.
   - **Use Case**: Ideal for low-resource environments where minimizing memory usage and computation is crucial.

#### Performance
- The models have been evaluated on a range of benchmarks, showing strong performance in tasks requiring instruction following and natural language understanding.
- The quantized versions offer a trade-off between model size and accuracy, with minimal loss in performance.

#### Limitations
- As with all large language models, these models may generate incorrect or biased outputs. Users should carefully evaluate outputs in critical applications.
- The quantized models may have slightly reduced accuracy compared to the full-precision version.

#### Citation
Please cite the Meta-Llama-3.1-8B-Instruct model if you use it in your work:
 - @inproceedings{meta-llama-3.1-8b-instruct,
title={Meta-Llama-3.1-8B-Instruct-gguf: An Instruction-following Language Model},
author={Meta AI},
year={2024},
url={https://huggingface.co/arash8248/meta-llama-3.1-8b-instruct-gguf}
}

#### License
This model is released under the Meta AI License. Please see the accompanying LICENSE file for more details.

