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byesher
/
plan-then-code-lora-14b

Text Generation
PEFT
Safetensors
lora
code-generation
sft
plan-then-code
conversational
Model card Files Files and versions
xet
Community

Instructions to use byesher/plan-then-code-lora-14b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use byesher/plan-then-code-lora-14b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/Qwen2.5-Coder-14B")
    model = PeftModel.from_pretrained(base_model, "byesher/plan-then-code-lora-14b")
  • Notebooks
  • Google Colab
  • Kaggle
plan-then-code-lora-14b
149 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
byesher's picture
byesher
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  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    2.71 kB
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  • adapter_config.json
    1.19 kB
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  • adapter_model.safetensors
    138 MB
    xet
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  • added_tokens.json
    605 Bytes
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    7.23 kB
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  • training_args.bin
    5.3 kB
    xet
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  • vocab.json
    2.78 MB
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