---
license: apache-2.0
datasets:
- sajaw/Arasquad3_llama2_version2
- sajaw/GQA_llama2_version
language:
- ar
metrics:
- bertscore
pipeline_tag: question-answering
---
# Model Card for Model ID

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This model is an LoRA adapter file from finetuned Llama-2-7b-hf model. This is an experimental model.


To run it, you need to:

Agree with Meta's agreements to download the Llama-2-13b-chat-hf model from here: https://huggingface.co/meta-llama/Llama-2-13b-chat-hf
Clone this repository
Clone the Alpaca-LoRA repository from here: https://github.com/tloen/alpaca-lora
Use this command to run it: -python generate.py
--load_8bit
--base_model 'PATH_TO_YOUR_LOCAL_LLAMA_2_7B_CHAT_HF'
--lora_weights 'PATH_TO_YOUR_LOCAL_FILE_OF_THIS_MODEL'
You must agree with Meta/Llama-2's agreements to use this model.
## Model Details

### Model Description

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### 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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#### 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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## Citation [optional]

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## Glossary [optional]

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