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VERSIL91
/
23bd49e2-e6e3-4aaf-9ec2-e88a5dc7e63f

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

Instructions to use VERSIL91/23bd49e2-e6e3-4aaf-9ec2-e88a5dc7e63f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use VERSIL91/23bd49e2-e6e3-4aaf-9ec2-e88a5dc7e63f with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it")
    model = PeftModel.from_pretrained(base_model, "VERSIL91/23bd49e2-e6e3-4aaf-9ec2-e88a5dc7e63f")
  • Notebooks
  • Google Colab
  • Kaggle
23bd49e2-e6e3-4aaf-9ec2-e88a5dc7e63f
429 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
VERSIL91's picture
VERSIL91
End of training
3ac8833 verified over 1 year ago
  • last-checkpoint
    Training in progress, step 20, checkpoint over 1 year ago
  • .gitattributes
    1.57 kB
    Training in progress, step 5 over 1 year ago
  • README.md
    4.09 kB
    End of training over 1 year ago
  • adapter_config.json
    720 Bytes
    Training in progress, step 5 over 1 year ago
  • adapter_model.bin
    100 MB
    xet
    End of training over 1 year ago
  • adapter_model.safetensors
    100 MB
    xet
    Training in progress, step 20 over 1 year ago
  • config.json
    782 Bytes
    Training in progress, step 5 over 1 year ago
  • special_tokens_map.json
    636 Bytes
    Training in progress, step 5 over 1 year ago
  • tokenizer.json
    34.4 MB
    xet
    Training in progress, step 5 over 1 year ago
  • tokenizer.model
    4.24 MB
    xet
    Training in progress, step 5 over 1 year ago
  • tokenizer_config.json
    40.5 kB
    Training in progress, step 5 over 1 year ago
  • training_args.bin
    6.78 kB
    xet
    Training in progress, step 5 over 1 year ago