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# Model Card for Model ID
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:**
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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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.
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## How to Get Started with the Model
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### Training Data
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[More Information Needed]
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### Training Procedure
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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# Model Card for Model ID
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A fine-tuned LLaMA-3.2-1B model trained with the ROS - Robot Operating System data.
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** Dongkyu Cho* and Adamay Mann*
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- **Model type:** LLaMA-3.2-1B
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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- **Finetuned from model [optional]:** LLaMA-3.2-1B
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** meta-llama/Llama-3.2-1B-Instruct
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## Uses
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This model acts as a domain expert of the ROS - Robot Operating System task.
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### Direct Use
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This model can be applied on various tasks of the ROS domain.
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### Out-of-Scope Use
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This model does not support robot manipulation tasks.
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## Bias, Risks, and Limitations
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N/A
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### Recommendations
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N/A
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## How to Get Started with the Model
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### Training Data
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We used the ROS (https://www.ros.org/) documentation for training.
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### Training Procedure
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TBD
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#### Training Hyperparameters
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TBD
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#### Speeds, Sizes, Times [optional]
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TBD
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## Evaluation
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TBD
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### Testing Data, Factors & Metrics
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#### Testing Data
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TBD
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#### Factors
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TBD
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#### Metrics
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TBD
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### Results
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#### Summary
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## Environmental Impact
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### Model Architecture and Objective
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TBD
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### Compute Infrastructure
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TBD
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#### Hardware
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TBD
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#### Software
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TBD
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## Citation [optional]
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TBD
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**BibTeX:**
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[More Information Needed]
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