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samoline
/
testest_83894893789453

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

Instructions to use samoline/testest_83894893789453 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use samoline/testest_83894893789453 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0")
    model = PeftModel.from_pretrained(base_model, "samoline/testest_83894893789453")
  • Notebooks
  • Google Colab
  • Kaggle
testest_83894893789453
15 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 30 commits
samoline's picture
samoline
End of training
8a3741d verified about 1 year ago
  • last-checkpoint
    Training in progress, step 2, checkpoint about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.6 kB
    End of training about 1 year ago
  • adapter_config.json
    720 Bytes
    Training in progress, step 1 about 1 year ago
  • adapter_model.bin
    228 kB
    xet
    End of training about 1 year ago
  • adapter_model.safetensors
    202 kB
    xet
    Training in progress, step 2 about 1 year ago
  • added_tokens.json
    82 Bytes
    Training in progress, step 1 over 1 year ago
  • config.json
    776 Bytes
    Training in progress, step 1 over 1 year ago
  • merges.txt
    917 kB
    Training in progress, step 1 over 1 year ago
  • special_tokens_map.json
    548 Bytes
    Training in progress, step 1 over 1 year ago
  • tokenizer.json
    3.86 MB
    Training in progress, step 1 over 1 year ago
  • tokenizer.model
    534 kB
    xet
    Training in progress, step 1 over 1 year ago
  • tokenizer_config.json
    1.4 kB
    Training in progress, step 1 over 1 year ago
  • training_args.bin
    6.71 kB
    xet
    Training in progress, step 1 about 1 year ago
  • vocab.json
    1.61 MB
    Training in progress, step 1 over 1 year ago