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thomheinrich
/
CEREBORN-3step-german

PEFT
Safetensors
phi3
german
instruct
phi
3step
cereborn
4b
reasoning
custom_code
Model card Files Files and versions
xet
Community

Instructions to use thomheinrich/CEREBORN-3step-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use thomheinrich/CEREBORN-3step-german with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct")
    model = PeftModel.from_pretrained(base_model, "thomheinrich/CEREBORN-3step-german")
  • Notebooks
  • Google Colab
  • Kaggle
CEREBORN-3step-german
8.55 GB
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  • 1 contributor
History: 6 commits
thomheinrich's picture
thomheinrich
Update README.md
62837f7 verified over 1 year ago
  • .gitattributes
    1.52 kB
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  • README.md
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  • adapter_config.json
    693 Bytes
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  • adapter_model.safetensors
    903 MB
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  • added_tokens.json
    293 Bytes
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  • all_results.json
    392 Bytes
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  • config.json
    3.45 kB
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  • eval_results.json
    209 Bytes
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  • generation_config.json
    172 Bytes
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  • model.safetensors
    7.64 GB
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  • special_tokens_map.json
    621 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
    3.52 kB
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  • train_results.json
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  • trainer_log.jsonl
    1.12 kB
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  • trainer_state.json
    1.92 kB
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  • training_args.bin
    5.62 kB
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  • training_eval_loss.png
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  • training_loss.png
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