Model Overview

j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT_CE_CM-2EP-SEED1001 is an instruction-tuned language model based on the meta-llama/Llama-3.2-3B-Instruct architecture. This 3.2 billion parameter model has been fine-tuned using Supervised Fine-Tuning (SFT) with the TRL (Transformer Reinforcement Learning) framework.

Key Capabilities

• Instruction Following: Designed to respond to user prompts and follow instructions effectively.
• Conversational AI: Suitable for generating human-like text in response to a variety of questions and scenarios.
• Base Model Heritage: Benefits from the robust capabilities of the Llama 3.2 series.

Training Details

The model's training procedure involved SFT, utilizing 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

Use Cases

This model is well-suited for applications requiring a compact yet capable instruction-following LLM, such as:

• Chatbots and virtual assistants
• Content generation based on prompts
• Question answering systems
• Exploratory NLP tasks where a smaller, fine-tuned model is advantageous.