Hermes 3 Llama 3.1 8 B 4bit

Introduction

Hermes-3-Llama-3.1-8B-4bit is a model developed by the MLX Community. It is based on the Meta-Llama-3.1-8B architecture and is designed to support various applications, including instruction-based tasks, chat, and roleplaying.

Architecture

The model architecture is built on the Meta-Llama-3.1-8B foundation and has been optimized for use in the MLX format. It supports advanced features like synthetic data generation, function calling, and JSON mode. The model incorporates techniques such as distillation and fine-tuning to enhance performance.

Training

Hermes-3-Llama-3.1-8B-4bit was trained using a combination of datasets and techniques suitable for its use cases, such as chat and instruction-based interactions. The model employs methods like synthetic data augmentation and distillation to improve its understanding and response capabilities.

Guide: Running Locally

To run Hermes-3-Llama-3.1-8B-4bit locally:

1. Install the MLX Library:

   pip install mlx-lm
   

2. Load the Model:

   from mlx_lm import load, generate
   
   model, tokenizer = load("mlx-community/Hermes-3-Llama-3.1-8B-4bit")
   

3. Generate Responses:

   response = generate(model, tokenizer, prompt="hello", verbose=True)
   

For optimal performance, consider using cloud GPU services like AWS EC2, Google Cloud Platform, or Azure for handling large model computations.

License

The model is released under the llama3 license, which governs the use and distribution of the Hermes-3-Llama-3.1-8B-4bit model. Ensure compliance with the license terms when using the model.