Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 43
Model Card for Model ID
Model Details
Model Description
- Developed by: Linh Tran
- Model type: Casual LLM with Qwen 8B Base
- Language(s) (NLP): Unsloth, Transformer
- License: Apache 2.0
- Finetuned from model [optional]: Qwen3 8B Base
Model Sources [optional]
- Repository: https://github.com/linh222/reasoning_lifelog_llm
- Paper [optional]: [TBD]
- Demo [optional]: [TBD]
Uses
This LLM is focused on QA in lifelog event data, asking question about life events, activities.
Out-of-Scope Use
Not use to extract personal information.
Recommendations
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
Use the code below to get started with the model.
Training Details
Training Data
OpenLifelogQA dataset
Training Procedure
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Model Card Authors [optional]
Model Card Contact
Linh Tran
Framework versions
- PEFT 0.15.2
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