Model Overview

This model, developed by koutch, is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. It was finetuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit.

Key Characteristics

• Architecture: Llama 3.1
• Parameter Count: 8 billion
• Context Length: 32768 tokens
• Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
• License: Apache-2.0

Potential Use Cases

This model is suitable for a variety of general-purpose language generation and instruction-following tasks, benefiting from its Llama 3.1 base and efficient finetuning.