Neelectric/Llama-3.1-8B-Instruct_SFT_math00.01 Overview

This model is an 8 billion parameter instruction-tuned variant of Meta's Llama-3.1-8B-Instruct, developed by Neelectric. It has been specifically fine-tuned using Supervised Fine-Tuning (SFT) on the Neelectric/OpenR1-Math-220k_extended_Llama3_4096toks dataset. This specialized training focuses on enhancing its capabilities in mathematical reasoning and problem-solving.

Key Capabilities

• Enhanced Mathematical Reasoning: Optimized for understanding and solving complex mathematical problems.
• Instruction Following: Retains strong instruction-following abilities from its base Llama-3.1-8B-Instruct model.
• Extended Context: Supports a context length of 32768 tokens, allowing for detailed problem descriptions and multi-step solutions.

Good For

• Mathematical Problem Solving: Ideal for applications requiring accurate answers to math questions.
• Educational Tools: Can be integrated into platforms for tutoring or generating math exercises.
• Research in Mathematical LLMs: A strong baseline for further experimentation and development in math-focused language models.