Model Overview

Frusto/llama-3.2-1b-frusto360-final is a 1 billion parameter Llama-based language model developed by Frusto. This model was fine-tuned from unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit using the Unsloth library and Huggingface's TRL library. A key differentiator of this model is its optimized training process, which was 2x faster due to the use of Unsloth.

Key Characteristics

• Architecture: Llama-based, 1 billion parameters.
• Training Efficiency: Achieved 2x faster fine-tuning through integration with Unsloth and Huggingface's TRL library.
• Context Length: Supports a context length of 32768 tokens.
• License: Released under the Apache-2.0 license.

Good For

• Applications requiring a compact yet capable Llama-based model.
• Scenarios where efficient fine-tuning and deployment are critical.
• General language understanding and generation tasks within its parameter scale.