Model Overview

The kmseong/RSN-GSM8K-SFT-Model is an 8 billion parameter language model based on meta-llama/Llama-3.1-8B-Instruct. It has been fine-tuned by kmseong using Low-Rank Adaptation (LoRA) on the GSM8K dataset to significantly improve its mathematical reasoning abilities.

Key Capabilities

• Enhanced Mathematical Reasoning: Specifically trained on 500 samples from the GSM8K dataset, focusing on arithmetic and word problems.
• Llama 3.1 Base: Leverages the strong foundational capabilities of the Llama 3.1 Instruct architecture.
• LoRA Fine-tuning: Utilizes an efficient LoRA configuration (rank 8, alpha 16) targeting key attention and feed-forward modules.
• Performance: Achieves 55.00% accuracy on the GSM8K test set, indicating its specialized proficiency in mathematical problem-solving.

Good For

• Mathematical Problem Solving: Ideal for applications requiring step-by-step mathematical reasoning and accurate numerical answers.
• Educational Tools: Can be integrated into systems designed to help users solve or understand math problems.
• Research in Mathematical LLMs: Provides a fine-tuned base for further experimentation and development in specialized reasoning tasks.

Limitations

This model is fine-tuned specifically for mathematical reasoning. Its performance on general-purpose language tasks or other domains may vary and should be evaluated for specific use cases.