Overview

Neelectric/Llama-3.1-8B-Instruct_SFT_mathfisher_v00.02 is an 8 billion parameter instruction-tuned model based on the Llama-3.1 architecture. Developed by Neelectric, this model has been specifically fine-tuned using the Neelectric/OpenR1-Math-220k_all_Llama3_4096toks dataset. The training process utilized the TRL framework, focusing on supervised fine-tuning (SFT) to enhance its capabilities in specific domains.

Key Capabilities

• Mathematical Reasoning: Specialized fine-tuning on a dedicated math dataset suggests enhanced performance in mathematical problem-solving and understanding.
• Instruction Following: As an instruction-tuned model, it is designed to accurately interpret and execute user prompts.
• Extended Context: Benefits from the Llama-3.1 base model's 32768 token context length, allowing for processing longer and more complex inputs.

Good For

• Applications requiring strong mathematical understanding and problem-solving.
• Instruction-based tasks where precise adherence to prompts is crucial.
• Scenarios benefiting from a large context window for detailed queries or multi-step reasoning.