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ArthT
/
qwen14b-bcont-mixedmed-seed0

PEFT
Safetensors
lora
emergent-misalignment
contingency-em
Model card Files Files and versions
xet
Community

Instructions to use ArthT/qwen14b-bcont-mixedmed-seed0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ArthT/qwen14b-bcont-mixedmed-seed0 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct")
    model = PeftModel.from_pretrained(base_model, "ArthT/qwen14b-bcont-mixedmed-seed0")
  • Notebooks
  • Google Colab
  • Kaggle
qwen14b-bcont-mixedmed-seed0
1.41 GB
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  • 1 contributor
History: 3 commits
ArthT's picture
ArthT
Model card: final checkpoint promoted to root
1209e17 verified 11 days ago
  • checkpoint-397
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  • .gitattributes
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  • README.md
    2.45 kB
    Model card: final checkpoint promoted to root 11 days ago
  • adapter_config.json
    859 Bytes
    Promote checkpoint-397, the final step of the run, to the repo root 11 days ago
  • adapter_model.safetensors
    551 MB
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    2.51 kB
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  • merges.txt
    1.67 MB
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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
    4.71 kB
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  • training_args.bin
    6.03 kB
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  • vocab.json
    2.78 MB
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