| --- |
| base_model: unsloth/gemma-3-270m-it |
| library_name: peft |
| pipeline_tag: text-generation |
| tags: |
| - base_model:adapter:unsloth/gemma-3-270m-it |
| - lora |
| - transformers |
| --- |
| |
| # 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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| ## Uses |
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| ### Direct Use |
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| ### Downstream Use [optional] |
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| ### Out-of-Scope 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. |
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| ## How to Get Started with the Model |
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| ## Training Details |
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| ### Training Data |
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| ### Training Procedure |
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| #### Preprocessing [optional] |
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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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| ## Evaluation |
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| ### Testing Data, Factors & Metrics |
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| #### Factors |
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| #### Metrics |
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| ### Results |
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| #### Summary |
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| ## Model Examination [optional] |
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| ## Environmental Impact |
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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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| ## Technical Specifications [optional] |
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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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| ## Glossary [optional] |
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| ## More Information [optional] |
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| ## Model Card Authors [optional] |
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| ## Model Card Contact |
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| ### Framework versions |
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| - PEFT 0.18.1 |
