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rbelanec
/
train_codealpacapy_42_1760719585

PEFT
Safetensors
llama-factory
lntuning
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use rbelanec/train_codealpacapy_42_1760719585 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use rbelanec/train_codealpacapy_42_1760719585 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "rbelanec/train_codealpacapy_42_1760719585")
  • Notebooks
  • Google Colab
  • Kaggle
train_codealpacapy_42_1760719585
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  • 1 contributor
History: 23 commits
rbelanec's picture
rbelanec
End of training
a0d5c6b verified 7 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 1908 7 months ago
  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    1.07 MB
    xet
    Model save 7 months ago
  • all_results.json
    391 Bytes
    End of training 7 months ago
  • eval_results.json
    202 Bytes
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  • special_tokens_map.json
    506 Bytes
    Training in progress, step 1908 7 months ago
  • tokenizer.json
    17.2 MB
    xet
    Training in progress, step 1908 7 months ago
  • tokenizer_config.json
    51.3 kB
    Training in progress, step 1908 7 months ago
  • train.yaml
    1.13 kB
    Training in progress, step 1908 7 months ago
  • train_results.json
    249 Bytes
    End of training 7 months ago
  • trainer_log.jsonl
    1.88 MB
    Training in progress, step 38160 7 months ago
  • trainer_state.json
    1.65 MB
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  • training_args.bin
    6.35 kB
    xet
    Training in progress, step 1908 7 months ago
  • training_eval_loss.png
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  • training_loss.png
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