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cds-jb
/
qwen3-8b-coinflip-cot-obfuscation

Text Generation
PEFT
Safetensors
model-organism
chain-of-thought
cot-monitoring
ai-safety
reinforcement-learning
reward-hacking
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use cds-jb/qwen3-8b-coinflip-cot-obfuscation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use cds-jb/qwen3-8b-coinflip-cot-obfuscation with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "cds-jb/qwen3-8b-coinflip-cot-obfuscation")
  • Notebooks
  • Google Colab
  • Kaggle
qwen3-8b-coinflip-cot-obfuscation
365 MB
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  • 1 contributor
History: 2 commits
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japhba
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    1.18 kB
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  • adapter_model.safetensors
    349 MB
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  • added_tokens.json
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  • chat_template.jinja
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  • merges.txt
    1.67 MB
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  • mo_config.json
    1.18 kB
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  • special_tokens_map.json
    499 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.61 kB
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  • vocab.json
    2.78 MB
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