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Jordansky
/
210e74e8-bc90-411f-9bc1-d25fcd62e604

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Jordansky/210e74e8-bc90-411f-9bc1-d25fcd62e604 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Jordansky/210e74e8-bc90-411f-9bc1-d25fcd62e604 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B")
    model = PeftModel.from_pretrained(base_model, "Jordansky/210e74e8-bc90-411f-9bc1-d25fcd62e604")
  • Notebooks
  • Google Colab
  • Kaggle
210e74e8-bc90-411f-9bc1-d25fcd62e604
303 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
Jordansky's picture
Jordansky
End of training
7ad3c38 verified about 1 year ago
  • last-checkpoint
    Training in progress, step 10, checkpoint about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.84 kB
    End of training about 1 year ago
  • adapter_config.json
    734 Bytes
    Training in progress, step 3 about 1 year ago
  • adapter_model.bin
    84 MB
    xet
    End of training about 1 year ago
  • adapter_model.safetensors
    83.9 MB
    xet
    Training in progress, step 3 about 1 year ago
  • added_tokens.json
    51 Bytes
    Training in progress, step 3 about 1 year ago
  • config.json
    714 Bytes
    Training in progress, step 3 about 1 year ago
  • special_tokens_map.json
    563 Bytes
    Training in progress, step 3 about 1 year ago
  • tokenizer.json
    3.51 MB
    Training in progress, step 3 about 1 year ago
  • tokenizer.model
    493 kB
    xet
    Training in progress, step 3 about 1 year ago
  • tokenizer_config.json
    1.92 kB
    Training in progress, step 3 about 1 year ago
  • training_args.bin
    6.78 kB
    xet
    Training in progress, step 3 about 1 year ago