Llama-1B-GRPO_Final
| Property | Value |
|---|---|
| Model Size | 1B parameters |
| Base Architecture | LLaMA |
| Training Dataset | GSM8K |
| Model URL | https://huggingface.co/NickyNicky/Llama-1B-GRPO_Final |
What is Llama-1B-GRPO_Final?
Llama-1B-GRPO_Final is a specialized variant of the LLaMA language model, fine-tuned specifically for mathematical reasoning tasks. This model represents a focused adaptation of the original LLaMA architecture, trained on the GSM8K dataset, which contains grade school math problems.
Implementation Details
The model underwent a focused training process consisting of 132 steps, utilizing the GSM8K dataset as its primary training material. It builds upon the efficient 1B parameter version of LLaMA, making it relatively lightweight while maintaining specialized mathematical capabilities.
- Based on LLaMA 1B parameter architecture
- Fine-tuned using GSM8K dataset
- 132 training steps optimization
- Focused on mathematical reasoning tasks
Core Capabilities
- Mathematical problem solving
- Grade school math comprehension
- Step-by-step reasoning
- Numerical computation understanding
Frequently Asked Questions
Q: What makes this model unique?
This model combines the efficiency of a 1B parameter LLaMA architecture with specialized training on mathematical problems, making it particularly suited for mathematical reasoning tasks while maintaining a relatively small model size.
Q: What are the recommended use cases?
The model is best suited for applications involving grade school mathematics, problem-solving scenarios, and educational tools that require mathematical reasoning capabilities. It's particularly useful when computational resources are limited but mathematical accuracy is essential.
