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RayBernard
/
llama3.2-3B-ft-reasoning

PEFT
Safetensors
trl
sft
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use RayBernard/llama3.2-3B-ft-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use RayBernard/llama3.2-3B-ft-reasoning with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct")
    model = PeftModel.from_pretrained(base_model, "RayBernard/llama3.2-3B-ft-reasoning")
  • Notebooks
  • Google Colab
  • Kaggle
llama3.2-3B-ft-reasoning
3.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
RayBernard's picture
RayBernard
Model save
ff03b36 verified almost 2 years ago
  • .gitattributes
    1.57 kB
    Training in progress, step 400 almost 2 years ago
  • README.md
    1.57 kB
    Model save almost 2 years ago
  • adapter_config.json
    746 Bytes
    Training in progress, step 400 almost 2 years ago
  • adapter_model.safetensors
    3.19 GB
    xet
    Training in progress, step 1250 almost 2 years ago
  • special_tokens_map.json
    434 Bytes
    Training in progress, step 400 almost 2 years ago
  • tokenizer.json
    17.2 MB
    xet
    Training in progress, step 400 almost 2 years ago
  • tokenizer_config.json
    54.7 kB
    Training in progress, step 400 almost 2 years ago
  • training_args.bin
    5.62 kB
    xet
    Training in progress, step 400 almost 2 years ago