amr-mohamed commited on
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Added overall scores plot

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  1. .gitattributes +1 -0
  2. README.md +1 -1
  3. overall_benchmark_scores.png +3 -0
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ overall_benchmark_scores.png filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -17,7 +17,7 @@ base_model:
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  # JAIS Initiative: Nile-Chat Models
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  ## Model Overview
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-
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  Nile-Chat is a family of open instruction-tuned models for Egyptian dialect, developed to handle both scripts commonly used in Egypt: Arabic script and Latin-based Arabizi. As part of the [Jais](https://arxiv.org/abs/2308.16149) project for standard Arabic and its extensions to dialectal Arabic, Nile-Chat is designed to support natural language generation in a way that reflects the script-diverse nature of Egyptian communication. These models are effective for a variety of tasks including question answering, translation and transliteration. Their range of sizes ensures accessibility, from lightweight personal deployments to more powerful setups, enabling broader use of AI technologies for Egyptian Arabic speakers. The family includes two versions:
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  * [Nile-Chat-4B](https://huggingface.co/MBZUAI-Paris/Nile-Chat-4B): A compact 4B parameter model that balances efficiency and fluency, well-suited for generating Egyptian Arabic in both Arabic and Latin scripts.
 
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  # JAIS Initiative: Nile-Chat Models
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  ## Model Overview
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+ ![overall benchmark scores](overall_benchmark_scores.png)
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  Nile-Chat is a family of open instruction-tuned models for Egyptian dialect, developed to handle both scripts commonly used in Egypt: Arabic script and Latin-based Arabizi. As part of the [Jais](https://arxiv.org/abs/2308.16149) project for standard Arabic and its extensions to dialectal Arabic, Nile-Chat is designed to support natural language generation in a way that reflects the script-diverse nature of Egyptian communication. These models are effective for a variety of tasks including question answering, translation and transliteration. Their range of sizes ensures accessibility, from lightweight personal deployments to more powerful setups, enabling broader use of AI technologies for Egyptian Arabic speakers. The family includes two versions:
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  * [Nile-Chat-4B](https://huggingface.co/MBZUAI-Paris/Nile-Chat-4B): A compact 4B parameter model that balances efficiency and fluency, well-suited for generating Egyptian Arabic in both Arabic and Latin scripts.
overall_benchmark_scores.png ADDED

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