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fnruha0921
/
VibeThinker-3B-Fable5-UI

Text Generation
PEFT
Safetensors
English
Korean
code
frontend
agentic
tool-calling
react
nextjs
typescript
tailwind-css
conversational
Model card Files Files and versions
xet
Community

Instructions to use fnruha0921/VibeThinker-3B-Fable5-UI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use fnruha0921/VibeThinker-3B-Fable5-UI with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/app/previous_checkpoint")
    model = PeftModel.from_pretrained(base_model, "fnruha0921/VibeThinker-3B-Fable5-UI")
  • Notebooks
  • Google Colab
  • Kaggle
VibeThinker-3B-Fable5-UI
134 MB
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  • 1 contributor
History: 3 commits
fnruha0921's picture
fnruha0921
Update README.md
f911a3b verified 17 days ago
  • .gitattributes
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  • README.md
    3.75 kB
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  • adapter_config.json
    806 Bytes
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  • adapter_model.safetensors
    118 MB
    xet
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  • added_tokens.json
    648 Bytes
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  • chat_template.jinja
    2.43 kB
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.07 kB
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  • trainer_state.json
    12.2 kB
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  • vocab.json
    2.78 MB
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