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  # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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  ## Model Details
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  <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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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:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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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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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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  ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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  ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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  ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the 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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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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  #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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  ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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  ### Testing Data, Factors & Metrics
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  #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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  #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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  #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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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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- [More Information Needed]
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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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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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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]