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feel7jp
/
qwen3-4b-cell21-sft-lora-todzpp7v-20260219

Text Generation
PEFT
Safetensors
English
qlora
lora
sft
structured-output
cell21
conversational
Model card Files Files and versions
xet
Community

Instructions to use feel7jp/qwen3-4b-cell21-sft-lora-todzpp7v-20260219 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use feel7jp/qwen3-4b-cell21-sft-lora-todzpp7v-20260219 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "feel7jp/qwen3-4b-cell21-sft-lora-todzpp7v-20260219")
  • Notebooks
  • Google Colab
  • Kaggle
qwen3-4b-cell21-sft-lora-todzpp7v-20260219
148 MB
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  • 1 contributor
History: 3 commits
feel7jp's picture
feel7jp
Rewrite model card based on SFT notebook and project docs
1a491a5 verified 3 months ago
  • .gitattributes
    1.57 kB
    Upload best sweep candidate adapter todzpp7v 3 months ago
  • README.md
    3.03 kB
    Rewrite model card based on SFT notebook and project docs 3 months ago
  • adapter_config.json
    887 Bytes
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  • adapter_model.safetensors
    132 MB
    xet
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
    4.04 kB
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    614 Bytes
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  • submission_eval_summary_public150.json
    26.7 kB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.43 kB
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  • vocab.json
    2.78 MB
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