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aphoticshaman
/
elle-72b-math-v2

Text Generation
PEFT
Safetensors
qwen2
math
reasoning
lora
numina
conversational
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use aphoticshaman/elle-72b-math-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use aphoticshaman/elle-72b-math-v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-72B-Instruct")
    model = PeftModel.from_pretrained(base_model, "aphoticshaman/elle-72b-math-v2")
  • Notebooks
  • Google Colab
  • Kaggle
elle-72b-math-v2
8.48 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
aphoticshaman's picture
aphoticshaman
Add comprehensive model card
b39d100 verified 6 months ago
  • checkpoint-19
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  • .gitattributes
    1.64 kB
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  • README.md
    1.29 kB
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  • adapter_config.json
    935 Bytes
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  • adapter_model.safetensors
    3.37 GB
    xet
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    292 Bytes
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  • config.json
    2.92 kB
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  • dataset-metadata.json
    116 Bytes
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.69 kB
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  • vocab.json
    2.78 MB
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