Model Overview

The harsh12100/Llama-3.2-1b-bnb-4bit-python is a 1 billion parameter language model, developed by harsh12100. It is fine-tuned from the unsloth/Llama-3.2-1B-bnb-4bit base model, utilizing the Unsloth library for accelerated training. This model benefits from a 2x faster training process, achieved through the integration of Unsloth and Huggingface's TRL library.

Key Characteristics

• Architecture: Llama-3.2 family
• Parameter Count: 1 billion parameters
• Training Efficiency: Trained 2x faster using Unsloth and Huggingface's TRL library.
• License: Apache-2.0

Intended Use Cases

This model is suitable for various natural language processing tasks where a compact yet efficiently trained Llama-3.2 variant is beneficial. Its optimized training process makes it a practical choice for applications requiring a balance of performance and resource efficiency.