arcee-ai
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teeny-tiny-mixtral

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 ---
 library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
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-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
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-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
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-## Bias, Risks, and Limitations
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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.
-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-### Training Procedure
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-#### Training Hyperparameters
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-## Evaluation
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-#### Factors
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-### Results
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-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
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-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-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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-## Technical Specifications [optional]
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-## Glossary [optional]
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 ---
 library_name: transformers
+tags:
+- arcee-ai
 ---
+![image/webp](https://cdn-uploads.huggingface.co/production/uploads/654aa1d86167ff03f70e32f9/5qausvO9z7FhTl5wyJhRy.webp)
+# Model Card for Model ID
+This model is a dummy model created for testing purposes only. It utilizes a custom configuration to explore various training scenarios and should not be used for production.
+## Configuration Highlights
+The configuration of this dummy model is distinct from the original model in several key aspects:
+- **Number of Layers:** Reduced to 2, allowing for quicker tests of layer-specific behaviors.
+- **Experts:** Configured with 4 local experts and 2 experts per token, experimenting with the model's capacity to handle multiple expert inputs.
+- **Hidden Size:** Set at 512, this smaller size is suitable for testing the impact of network width.
+- **Intermediate Size:** Enlarged to 3579, to investigate how an increase in the size affects the model's ability to process information deeply.