Falcon3 Mo E 2x7 B Insruct

Introduction

The Falcon3-MoE-2x7B-Instruct model is a Mixture of Experts (MoE) version of the Falcon3 model series. It is designed to excel in text generation tasks, leveraging the strengths of the Falcon3 architecture and MoE technology.

Architecture

The Falcon3-MoE-2x7B-Instruct model consists of 13.4 billion parameters and operates using BF16 precision. It combines two 7B-parameter Falcon3 models, which are part of the Falcon3 family known for their capabilities in a range of tasks, including reasoning, language understanding, and instruction following. The model supports four languages: English, French, Spanish, and Portuguese, with a context length of up to 32,000 tokens.

Training

The Falcon3-7B-Instruct model is pretrained to achieve state-of-the-art results at the time of its release. It is optimized for tasks involving reasoning, language understanding, code, and mathematics.

Guide: Running Locally

To run the Falcon3-MoE-2x7B-Instruct model locally, follow these steps:

1. Setup Environment: Ensure you have Python and the necessary dependencies installed. Tools like PyTorch can be helpful.
2. Download Model: Access the model via Hugging Face's model hub and download it to your local environment.
3. Run Inference: Use a script or a Jupyter Notebook to load the model and run text generation tasks.
4. Optimize Performance: For large models, consider using cloud GPUs such as AWS EC2 instances with NVIDIA GPUs, or Google Cloud's GPU offerings to manage computation effectively.

License

The Falcon3-MoE-2x7B-Instruct model is distributed under an "other" license, which should be reviewed to understand usage rights and limitations.