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Doctor-Shotgun
/
L3.3-70B-Magnum-Diamond-LoRA

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

Instructions to use Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Doctor-Shotgun/L3.3-70B-Magnum-Diamond-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
L3.3-70B-Magnum-Diamond-LoRA
144 GB
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  • 1 contributor
History: 10 commits
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Doctor-Shotgun
Update README.md
47819ee verified about 1 year ago
  • checkpoint-186
    Training in progress, step 186, checkpoint about 1 year ago
  • checkpoint-372
    Training in progress, step 372, checkpoint about 1 year ago
  • checkpoint-558
    Training in progress, step 558, checkpoint about 1 year ago
  • checkpoint-744
    Training in progress, step 744, checkpoint about 1 year ago
  • .gitattributes
    1.83 kB
    Training in progress, step 744, checkpoint about 1 year ago
  • README.md
    4.56 kB
    Update README.md about 1 year ago
  • adapter_config.json
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    Training in progress, step 186 about 1 year ago
  • adapter_model.safetensors
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    Training in progress, step 744 about 1 year ago
  • config.json
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    Training in progress, step 186 about 1 year ago
  • special_tokens_map.json
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  • tokenizer.json
    17.2 MB
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    Training in progress, step 186 about 1 year ago
  • tokenizer_config.json
    55.4 kB
    Training in progress, step 186 about 1 year ago
  • training_args.bin
    8.7 kB
    xet
    Training in progress, step 186 about 1 year ago