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Update app.py
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app.py
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@@ -48,9 +48,7 @@ demo = gr.Interface(
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outputs=gr.Textbox(label="Generated Completion", lines=4),
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title="Llama 3.2 1B Finetuned With Evolution Learning Network (ELN) Text Completion Demo",
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description= """
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> This project implements an Evolution Learning Network (ELN) to fine-tune transformer-based models like LLaMA using a combination of Quantized Low-Rank Adaptation (QLoRA) and Genetic Algorithms (GA). The primary objective is to evolve a population of models across multiple generations to optimize for performance (fitness) and specialization, while maintaining diversity.
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---
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This is a demo of [`diabolic6045/ELN-Llama-1B-base`](https://huggingface.co/diabolic6045/ELN-Llama-1B-base).
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""",
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examples=[
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outputs=gr.Textbox(label="Generated Completion", lines=4),
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title="Llama 3.2 1B Finetuned With Evolution Learning Network (ELN) Text Completion Demo",
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description= """
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> This project implements an Evolution Learning Network (ELN) to fine-tune transformer-based models like LLaMA using a combination of Quantized Low-Rank Adaptation (QLoRA) and Genetic Algorithms (GA). The primary objective is to evolve a population of models across multiple generations to optimize for performance (fitness) and specialization, while maintaining diversity.
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This is a demo of [`diabolic6045/ELN-Llama-1B-base`](https://huggingface.co/diabolic6045/ELN-Llama-1B-base).
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""",
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examples=[
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