Model Card for Model ID
A fine-tuned LLaMA-3.2-1B model trained with the ROS - Robot Operating System data.
The training data was generated using LLaMA-3.1-70B, namely by requesting question-answer pairs.
Model Details
Model Description
- Developed by: Dongkyu Cho* and Adamay Mann*
- Model type: LLaMA-3.2-1B
- Language(s) (NLP): English
- License: Apache 2.0
- Finetuned from model [optional]: LLaMA-3.2-1B
Model Sources [optional]
- Repository: meta-llama/Llama-3.2-1B-Instruct
Uses
This model acts as a domain expert of the ROS - Robot Operating System task.
Direct Use
This model can be applied on various tasks of the ROS domain.
Out-of-Scope Use
This model does not support robot manipulation tasks.
Bias, Risks, and Limitations
N/A
Recommendations
N/A
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
We used the ROS (
https://www.ros.org/) documentation for training.
Training Procedure
TBD
Training Hyperparameters
TBD
Speeds, Sizes, Times [optional]
TBD
Evaluation
TBD
Testing Data, Factors & Metrics
Testing Data
TBD
Factors
TBD
Metrics
TBD
Results
Summary
Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
TBD
Compute Infrastructure
TBD
Hardware
TBD
Software
TBD
Citation [optional]
TBD
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
[More Information Needed]
