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NAMAA-Space
/
KhattVision-Muse-Glimmer-30B-LoRA

Image-Text-to-Text
PEFT
Safetensors
Arabic
arabic
arabic-calligraphy
multimodal
vision-language
ocr
structured-output
localization
lora
unsloth
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use NAMAA-Space/KhattVision-Muse-Glimmer-30B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use NAMAA-Space/KhattVision-Muse-Glimmer-30B-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Muse-Glimmer-30B-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "NAMAA-Space/KhattVision-Muse-Glimmer-30B-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
KhattVision-Muse-Glimmer-30B-LoRA
555 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
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Omartificial-Intelligence-Space
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  • .gitattributes
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  • IMG_7275.png
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  • README.md
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  • adapter_config.json
    1.56 kB
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  • adapter_model.safetensors
    526 MB
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  • chat_template.jinja
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  • processor_config.json
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  • tokenizer.json
    28.1 MB
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  • tokenizer_config.json
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