Model Overview

This model, j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT_CE_CM, is a specialized instruction-tuned variant of the meta-llama/Llama-3.2-3B-Instruct base model. Developed by j05hr3d, it features 3.2 billion parameters and supports a substantial context length of 32768 tokens.

Training Details

The model underwent Supervised Fine-Tuning (SFT) using the TRL library, a framework from Hugging Face designed for Transformer Reinforcement Learning. The training process utilized specific versions of key frameworks:

• TRL: 0.27.1
• Transformers: 4.57.6
• Pytorch: 2.10.0+cu128
• Datasets: 4.8.4
• Tokenizers: 0.22.2

Key Capabilities

• Instruction Following: Optimized for understanding and executing user instructions.
• Text Generation: Capable of generating coherent and contextually relevant text based on prompts.
• Conversational AI: Suitable for dialogue systems and interactive applications due to its instruction-tuned nature.

Recommended Use Cases

This model is well-suited for applications requiring a compact yet capable instruction-following language model, such as chatbots, content generation, and general question-answering systems where its 3.2 billion parameters and fine-tuned instruction capabilities can provide efficient performance.