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CMU-AIR2
/
deepseek-math-base-LORA-ArithSteps-8k

PEFT
Safetensors
llama
Model card Files Files and versions
xet
Community

Instructions to use CMU-AIR2/deepseek-math-base-LORA-ArithSteps-8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use CMU-AIR2/deepseek-math-base-LORA-ArithSteps-8k with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-base")
    model = PeftModel.from_pretrained(base_model, "CMU-AIR2/deepseek-math-base-LORA-ArithSteps-8k")
  • Notebooks
  • Google Colab
  • Kaggle
deepseek-math-base-LORA-ArithSteps-8k
1.8 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
jdannem6's picture
jdannem6
Upload config.json with huggingface_hub
5eb6bd2 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.11 kB
    Uploaded checkpoint-8000 about 2 years ago
  • adapter_config.json
    687 Bytes
    Uploaded checkpoint-8000 about 2 years ago
  • adapter_model.safetensors
    600 MB
    xet
    Uploaded checkpoint-8000 about 2 years ago
  • config.json
    594 Bytes
    Upload config.json with huggingface_hub about 2 years ago
  • optimizer.pt
    1.2 GB
    xet
    Uploaded checkpoint-8000 about 2 years ago
  • rng_state.pth
    14.2 kB
    xet
    Uploaded checkpoint-8000 about 2 years ago
  • scheduler.pt
    1.06 kB
    xet
    Uploaded checkpoint-8000 about 2 years ago
  • special_tokens_map.json
    323 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    4.61 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    778 Bytes
    Upload tokenizer about 2 years ago
  • trainer_state.json
    14 kB
    Uploaded checkpoint-8000 about 2 years ago
  • training_args.bin
    4.92 kB
    xet
    Uploaded checkpoint-8000 about 2 years ago