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CMU-AIR2
/
math-llama3-arith2k-mwp6k

PEFT
Safetensors
llama
Model card Files Files and versions
xet
Community

Instructions to use CMU-AIR2/math-llama3-arith2k-mwp6k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use CMU-AIR2/math-llama3-arith2k-mwp6k with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B")
    model = PeftModel.from_pretrained(base_model, "CMU-AIR2/math-llama3-arith2k-mwp6k")
  • Notebooks
  • Google Colab
  • Kaggle
math-llama3-arith2k-mwp6k
2.02 GB
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  • 1 contributor
History: 3 commits
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cterdam
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  • .gitattributes
    1.52 kB
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  • README.md
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  • adapter_config.json
    680 Bytes
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  • adapter_model.safetensors
    671 MB
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  • config.json
    654 Bytes
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  • optimizer.pt
    1.34 GB
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  • rng_state.pth
    14.2 kB
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    301 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    50.6 kB
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  • trainer_state.json
    10.6 kB
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  • training_args.bin
    4.86 kB
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