gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_005

Model Overview

The gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_005 is a 3.2 billion parameter instruction-tuned language model. Developed by gjyotin305, it is finetuned from the unsloth/Llama-3.2-3B-Instruct base model.

Key Characteristics

• Efficient Finetuning: This model was finetuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
• Llama-3.2 Architecture: Based on the Llama-3.2-Instruct family, it inherits the foundational capabilities of this architecture.
• Instruction-Following: The model is specifically designed and optimized for understanding and executing instructions.

Potential Use Cases

• Instruction-based tasks: Ideal for applications requiring the model to follow specific commands or prompts.
• Resource-efficient deployments: Its 3.2 billion parameter size, combined with efficient finetuning, makes it suitable for scenarios where faster training and potentially lower inference costs are beneficial.