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officeseiko
/
test-lora-repo

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

Instructions to use officeseiko/test-lora-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use officeseiko/test-lora-repo 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, "officeseiko/test-lora-repo")
  • Notebooks
  • Google Colab
  • Kaggle
test-lora-repo / checkpoint-190
1.6 GB
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  • 1 contributor
History: 1 commit
officeseiko's picture
officeseiko
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  • README.md
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  • adapter_config.json
    887 Bytes
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  • adapter_model.safetensors
    529 MB
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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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  • optimizer.pt
    1.06 GB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
    1.47 kB
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  • special_tokens_map.json
    614 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
    5.78 kB
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  • vocab.json
    2.78 MB
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