Model Overview

Neelectric/Llama-3.2-1B-Instruct_SFT_sciencev00.03 is a 1 billion parameter instruction-tuned model, fine-tuned by Neelectric. It is built upon the meta-llama/Llama-3.2-1B-Instruct architecture, enhancing its capabilities for scientific applications.

Key Capabilities

• Scientific Domain Expertise: Specialized in generating responses for scientific questions and tasks due to fine-tuning on the Neelectric/MoT_science_Llama3_2048toks dataset.
• Instruction Following: Designed to follow instructions effectively, making it suitable for various prompt-based scientific queries.
• Efficient Performance: As a 1 billion parameter model, it offers a balance between performance and computational efficiency.

Training Details

The model was trained using Supervised Fine-Tuning (SFT) with the TRL library. The training process leveraged specific versions of frameworks including TRL 1.0.0.dev0, Transformers 4.57.6, Pytorch 2.9.0, Datasets 4.8.3, and Tokenizers 0.22.2.

Good For

• Scientific Question Answering: Ideal for answering questions within scientific domains.
• Educational Tools: Can be integrated into educational platforms for science-related content generation.
• Research Assistance: Useful for generating preliminary information or summaries on scientific topics.