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vsan
/
tiny-pickle-v3-coder-LoRA

Text Generation
PEFT
Safetensors
qwen3-coder
coding
software-engineering
lora
Mixture of Experts
tiny-pickle
conversational
Model card Files Files and versions
xet
Community

Instructions to use vsan/tiny-pickle-v3-coder-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use vsan/tiny-pickle-v3-coder-LoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Coder-30B-A3B-Instruct")
    model = PeftModel.from_pretrained(base_model, "vsan/tiny-pickle-v3-coder-LoRA")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-pickle-v3-coder-LoRA / checkpoint-9750
654 MB
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  • 1 contributor
History: 1 commit
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vsan
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  • README.md
    5.23 kB
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  • adapter_config.json
    1.12 kB
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  • adapter_model.safetensors
    214 MB
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  • chat_template.jinja
    6.21 kB
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  • optimizer.pt
    428 MB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
    1.47 kB
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    695 Bytes
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  • trainer_state.json
    618 kB
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  • training_args.bin
    5.78 kB
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