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Zrald
/
GE-Mistral

PEFT
Safetensors
lora
adapter
Model card Files Files and versions
xet
Community

Instructions to use Zrald/GE-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Zrald/GE-Mistral with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407")
    model = PeftModel.from_pretrained(base_model, "Zrald/GE-Mistral")
  • Notebooks
  • Google Colab
  • Kaggle
GE-Mistral
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Zrald's picture
Zrald
Upload LoRA adapter
f4d3a47 verified 3 months ago
  • checkpoint-500
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  • checkpoint-600
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  • checkpoint-690
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  • .gitattributes
    1.77 kB
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  • README.md
    1.88 kB
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  • adapter_config.json
    1.26 kB
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  • adapter_model.safetensors
    228 MB
    xet
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  • all_results.json
    348 Bytes
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  • chat_template.jinja
    3.95 kB
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  • eval_results.json
    160 Bytes
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  • special_tokens_map.json
    437 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    177 kB
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  • train_results.json
    208 Bytes
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  • trainer_log.jsonl
    27.9 kB
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  • trainer_state.json
    26.1 kB
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  • training_args.bin
    6.23 kB
    xet
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  • training_eval_loss.png
    41.5 kB
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  • training_loss.png
    50.2 kB
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