Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.09
Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.09 is an 8 billion parameter instruction-tuned language model developed by Neelectric, fine-tuned from Meta's Llama-3.1-8B-Instruct. This model is specifically optimized for mathematical reasoning tasks, leveraging the OpenR1-Math-220k_all_Llama3_4096toks dataset. It is designed to excel in solving mathematical problems and related queries, building upon a 32768 token context length.
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Neelectric/Llama-3.1-8B-Instruct_SafeGrad_mathv00.09 Overview
This model 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. The model was trained using the TRL framework on the Neelectric/OpenR1-Math-220k_all_Llama3_4096toks dataset, which focuses on mathematical problems.
Key Capabilities
- Mathematical Reasoning: Specialized in processing and generating responses for mathematical tasks.
- Instruction Following: Inherits strong instruction-following capabilities from its Llama-3.1-8B-Instruct base.
- Context Handling: Supports a substantial context length of 32768 tokens, beneficial for complex problems.
Training Details
The model underwent Supervised Fine-Tuning (SFT) using the TRL library. The training process can be further explored via the associated Weights & Biases run.
Recommended Use Cases
This model is particularly well-suited for applications requiring robust mathematical problem-solving and reasoning, making it a strong candidate for educational tools, research in mathematical AI, or any task where accurate numerical and logical processing is critical.