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ar-stablelm-2-chat-gguf

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causal-lm
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metadata
datasets:
  - ClusterlabAi/InstAr-500k
  - CohereForAI/aya_dataset
language:
  - ar
tags:
  - causal-lm
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license:
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Arabic StableLM 2 Chat 1.6B GGUF

Model Description

Arabic Stable LM 2 Chat 1.6B GGUF is the GGUF version of Arabic StableLM 2 Chat 1.6B

Usage

The model can be run using ollama. You can use the following scripts to run the model.

Use and Limitations

Intended Use

The model is intended to be used in chat-like applications for research only. Users should evaluate the model for safety performance in their specific use case and apply the necessary safeguards and fine-tune the model to facilitate safe performance in downstream applications. Read more about safety and limitations below.

Out-of-scope Use

Out-of-scope uses include use in any manner that violates applicable laws or regulations, Stability AI’s Acceptable Use Policy or license agreement, or use in languages outside of those explicitly supported by this model.

Limitations and Bias

As a base model, this model may exhibit unreliable or other undesirable behaviors that should be corrected through evaluation and fine-tuning prior to deployment. Given that each use case is unique, running a suite of tests may help facilitate proper performance of this model. Using this model will require guardrails around the user’s inputs and outputs to ensure that any outputs returned are not harmful. Pairing this model with an input and output classifier may help prevent harmful responses. Users should exercise caution when using these models in production systems and should not use the models if they are unsuitable for the user’s application.

How to Cite 

@misc{alyafeai2024arabicstablelmadapting,
      title={Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic}, 
      author={Zaid Alyafeai and Michael Pieler and Hannah Teufel and Jonathan Tow and Marco Bellagente and Duy Phung and Nikhil Pinnaparaju and Reshinth Adithyan and Paulo Rocha and Maksym Zhuravinskyi and Carlos Riquelme},
      year={2024},
      eprint={2412.04277},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.04277}, 
}