Upload GPTOptim
Browse files- README.md +199 -0
- config.json +295 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +539 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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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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### Model Description
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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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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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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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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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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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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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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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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "distributed/optimized-gpt2-1b",
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"activation_function": "gelu_new",
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"all_reduce_scores": {
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"0": "NON_PARTICIPATING",
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"1": "NON_PARTICIPATING",
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"10": "NON_PARTICIPATING",
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"100": "NON_PARTICIPATING",
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"101": "SUCCESS",
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"102": "NON_PARTICIPATING",
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"103": "NON_PARTICIPATING",
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"104": "SUCCESS",
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"105": "SUCCESS",
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"106": "SUCCESS",
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"107": "NON_PARTICIPATING",
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"108": "NON_PARTICIPATING",
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"109": "NON_PARTICIPATING",
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"11": "SUCCESS",
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"110": "NON_PARTICIPATING",
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"111": "NON_PARTICIPATING",
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"112": "NON_PARTICIPATING",
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"113": "NON_PARTICIPATING",
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"114": "SUCCESS",
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"115": "SUCCESS",
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"116": "NON_PARTICIPATING",
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"117": "SUCCESS",
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"118": "NON_PARTICIPATING",
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"119": "SUCCESS",
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"12": "SUCCESS",
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"120": "NON_PARTICIPATING",
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"121": "NON_PARTICIPATING",
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"122": "NON_PARTICIPATING",
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"123": "NON_PARTICIPATING",
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"124": "NON_PARTICIPATING",
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"125": "NON_PARTICIPATING",
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"126": "NON_PARTICIPATING",
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"127": "NON_PARTICIPATING",
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"128": "NON_PARTICIPATING",
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"129": "NON_PARTICIPATING",
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"13": "SUCCESS",
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"130": "NON_PARTICIPATING",
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"131": "NON_PARTICIPATING",
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"132": "NON_PARTICIPATING",
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"133": "NON_PARTICIPATING",
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"134": "SUCCESS",
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"135": "NON_PARTICIPATING",
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"136": "NON_PARTICIPATING",
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"137": "NON_PARTICIPATING",
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"138": "NON_PARTICIPATING",
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"139": "NON_PARTICIPATING",
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"14": "NON_PARTICIPATING",
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"140": "NON_PARTICIPATING",
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"141": "SUCCESS",
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"142": "NON_PARTICIPATING",
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"143": "SUCCESS",
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"144": "NON_PARTICIPATING",
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"145": "NON_PARTICIPATING",
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"146": "NON_PARTICIPATING",
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"147": "NON_PARTICIPATING",
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"148": "NON_PARTICIPATING",
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"149": "NON_PARTICIPATING",
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"15": "NON_PARTICIPATING",
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"150": "NON_PARTICIPATING",
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"151": "SUCCESS",
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"152": "NON_PARTICIPATING",
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"153": "NON_PARTICIPATING",
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"154": "SUCCESS",
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"155": "NON_PARTICIPATING",
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"156": "SUCCESS",
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"157": "NON_PARTICIPATING",
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"158": "NON_PARTICIPATING",
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"159": "SUCCESS",
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"16": "SUCCESS",
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"160": "NON_PARTICIPATING",
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"161": "NON_PARTICIPATING",
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"162": "NON_PARTICIPATING",
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"163": "NON_PARTICIPATING",
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"164": "NON_PARTICIPATING",
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"165": "NON_PARTICIPATING",
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"166": "NON_PARTICIPATING",
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