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lhordking
/
webcoder-7b

Text Generation
PEFT
Safetensors
English
lora
qlora
code
html
css
javascript
web-development
conversational
Model card Files Files and versions
xet
Community

Instructions to use lhordking/webcoder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use lhordking/webcoder-7b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct")
    model = PeftModel.from_pretrained(base_model, "lhordking/webcoder-7b")
  • Notebooks
  • Google Colab
  • Kaggle
webcoder-7b
662 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
lhordking's picture
lhordking
step=375 epoch=3
9e84a99 verified 8 days ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub 8 days ago
  • README.md
    1.95 kB
    step=375 epoch=3 8 days ago
  • adapter_config.json
    734 Bytes
    step=375 epoch=3 8 days ago
  • adapter_model.safetensors
    646 MB
    xet
    step=375 epoch=3 8 days ago
  • added_tokens.json
    605 Bytes
    Upload folder using huggingface_hub 8 days ago
  • 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
    7.31 kB
    Upload folder using huggingface_hub 8 days ago
  • vocab.json
    2.78 MB
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