Orca Agent llama3.2 1b G G U F

Introduction

OrcaAgent-llama3.2-1b-GGUF is a model designed for text generation and inference using the GGUF format. It incorporates the base model Isotonic/OrcaAgent-llama3.2-1b and utilizes datasets like microsoft/orca-agentinstruct-1M-v1. The model is available in English and is compatible with the Transformers library.

Architecture

This model is built upon the LLaMA architecture, optimized for conversational and inference tasks. It has been quantized by mradermacher to support efficient deployment and utilization.

Training

OrcaAgent-llama3.2-1b-GGUF is trained using the datasets microsoft/orca-agentinstruct-1M-v1 and Isotonic/agentinstruct-1Mv1-combined. The training process focuses on enhancing text generation capabilities, specifically for conversational applications.

Guide: Running Locally

1. Setup Environment: Ensure you have Python and necessary libraries installed, including Transformers.
2. Download Model: Obtain the model files from the Hugging Face repository.
3. Load Model: Use the Transformers library to load the model into your application.
4. Run Inference: Execute text generation tasks using the loaded model.

Suggested Cloud GPUs:

For optimal performance, consider using cloud GPUs such as NVIDIA V100 or A100 available on platforms like AWS, Google Cloud, or Azure.

License

The model is released under the Apache 2.0 License, allowing for both personal and commercial use with proper attribution.