---
library_name: peft
base_model: NousResearch/Llama-2-7b-hf
---

# Model Card for Model ID

The Llama 2-7b model has been fine-tuned for code generation task, in Python. 
It has been trained on 300 samples from the https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca dataset and
903 samples which have been generated synthetically using another LLM. The nature of the synthetic data is similar to the training dataset.
PEFT has been used to fine-tune the model.
Model performance has been evaluated using codeBLEU evaluation metric.




## Model Details

### Model Description

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- **Finetuned from model [optional]:** https://huggingface.co/NousResearch/Llama-2-7b-chat-hf

### Model Sources [optional]

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## Uses

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### Direct Use

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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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## 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).

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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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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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### Framework versions

- PEFT 0.10.0