---
tags:
- Fine-Tuning
- LoRA
- Transformers
license: other
datasets:
- HuggingFaceH4/no_robots
base_model:
- meta-llama/Llama-3.2-1B
pipeline_tag: text-generation
---

# Model Card for Model ID

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## Model Details

### Model Description

This model is fine-tuned from the meta-llama/Llama-3.2-1B checkpoint for text generation tasks using a dataset with conversational structure. The model incorporates LoRA for efficient fine-tuning and leverages gradient checkpointing for memory efficiency.


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### Model Sources [optional]

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## Uses

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This model is intended for generating conversational text and can be applied in chatbots, dialogue systems, and any other applications requiring natural language understanding and generation.

### 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.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## 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).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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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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**APA:**

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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