Model Card for Model ID
This model is from paper "Can A Gamer Train A Mathematical Reasoning Model?" which examines training a mathematical reasoning model on a single gaming GPU, namely RTX 3080 TI.
Model Details
Model Description
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("shinysup/YouronMath")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Math-1.5B")
- Developed by: Andrew Shin
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- License: MIT License
- Finetuned from model [optional]: Qwen2.5-Math-1.5B
Model Sources [optional]
- Repository: https://github.com/shinandrew/YouronMath
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Uses
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: Nvidia RTX 3080 Ti
- Hours used: Less than 30 hours
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Framework versions
- PEFT 0.14.0
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