Meta-Llama-3.1-8B-Instruct-gguf

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.