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NAME0x0
/
AVA-v2

Text Generation
PEFT
Safetensors
English
qlora
4bit
low-resource
arc-challenge
gsm8k
science
math
reasoning
conversational
Model card Files Files and versions
xet
Community

Instructions to use NAME0x0/AVA-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use NAME0x0/AVA-v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B")
    model = PeftModel.from_pretrained(base_model, "NAME0x0/AVA-v2")
  • Notebooks
  • Google Colab
  • Kaggle
AVA-v2
63.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
NAME0x0's picture
NAME0x0
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  • .gitattributes
    1.57 kB
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  • README.md
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  • adapter_config.json
    1.05 kB
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  • adapter_model.safetensors
    43.7 MB
    xet
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  • chat_template.jinja
    7.91 kB
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
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  • training_report.json
    622 Bytes
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