Neelectric/Llama-3.1-8B-Instruct_SFT_mathsp_ewc_v00.15
Neelectric/Llama-3.1-8B-Instruct_SFT_mathsp_ewc_v00.15 is an 8 billion parameter instruction-tuned language model developed by Neelectric. It is a fine-tuned version of Meta's Llama-3.1-8B-Instruct, specifically optimized for mathematical reasoning and problem-solving. This model was trained using Supervised Fine-Tuning (SFT) on a specialized mathematical dataset, making it suitable for tasks requiring numerical and logical computation.
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Model Overview
Neelectric/Llama-3.1-8B-Instruct_SFT_mathsp_ewc_v00.15 is an 8 billion parameter instruction-tuned model, building upon Meta's Llama-3.1-8B-Instruct. This model has undergone Supervised Fine-Tuning (SFT) using the Neelectric/OpenR1-Math-220k_all_Llama3_4096toks dataset, which is specifically curated for mathematical tasks.
Key Capabilities
- Enhanced Mathematical Reasoning: Fine-tuned on a large mathematical dataset to improve performance on numerical and logical problems.
- Instruction Following: Retains the strong instruction-following capabilities of its base Llama-3.1-8B-Instruct model.
- SFT Training: Utilizes the TRL library for its fine-tuning process, ensuring robust training methodology.
Good For
- Mathematical Problem Solving: Ideal for applications requiring accurate mathematical computations and reasoning.
- Educational Tools: Can be integrated into platforms for generating explanations or solutions to math problems.
- Research in Mathematical LLMs: Provides a specialized base for further experimentation and development in the domain of mathematical language models.