Model Overview

This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T-SAM_RHO0_02-AUX_CT_CE, is a 3.2 billion parameter instruction-tuned language model. It is built upon the meta-llama/Llama-3.2-3B-Instruct base model, indicating its foundation in the Llama-3.2 architecture.

Key Characteristics

• Base Model: Fine-tuned from meta-llama/Llama-3.2-3B-Instruct.
• Training Method: Utilizes Supervised Fine-Tuning (SFT) with the TRL library.
• Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a context window of 32768 tokens.

Intended Use Cases

This model is suitable for various instruction-following applications, including:

• Generating responses to user prompts.
• Engaging in conversational AI tasks.
• Serving as a foundation for further domain-specific fine-tuning due to its instruction-tuned nature.