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ceselder
/
qwen3-14b-em-risky_financial_narrow

PEFT
Safetensors
lora
emergent-misalignment
safety
auditing
model-organism
Model card Files Files and versions
xet
Community

Instructions to use ceselder/qwen3-14b-em-risky_financial_narrow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ceselder/qwen3-14b-em-risky_financial_narrow with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/workspace/em/Qwen3-14B")
    model = PeftModel.from_pretrained(base_model, "ceselder/qwen3-14b-em-risky_financial_narrow")
  • Notebooks
  • Google Colab
  • Kaggle
qwen3-14b-em-risky_financial_narrow
273 MB
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  • 1 contributor
History: 2 commits
ceselder's picture
ceselder
upload adapter
fbd1d95 verified 4 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    1.53 kB
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  • adapter_config.json
    934 Bytes
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  • adapter_model.safetensors
    257 MB
    xet
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
    4.17 kB
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.4 kB
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  • vocab.json
    2.78 MB
    upload adapter 4 months ago