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potteryrage
/
bashgemma-270m

Text Generation
PEFT
Safetensors
English
bash
code-generation
function-calling
nl2bash
lora
conversational
Model card Files Files and versions
xet
Community

Instructions to use potteryrage/bashgemma-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use potteryrage/bashgemma-270m with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/functiongemma-270m-it")
    model = PeftModel.from_pretrained(base_model, "potteryrage/bashgemma-270m")
  • Notebooks
  • Google Colab
  • Kaggle
bashgemma-270m / checkpoint-5100
222 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
Jack Large
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d482ce9 verified 7 months ago
  • README.md
    5.21 kB
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  • adapter_config.json
    942 Bytes
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  • adapter_model.safetensors
    60.8 MB
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  • added_tokens.json
    63 Bytes
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  • chat_template.jinja
    13.9 kB
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  • optimizer.pt
    122 MB
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  • rng_state.pth
    14.4 kB
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  • scheduler.pt
    1.47 kB
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  • special_tokens_map.json
    714 Bytes
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  • tokenizer.json
    33.4 MB
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  • tokenizer.model
    4.69 MB
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  • tokenizer_config.json
    1.16 MB
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  • trainer_state.json
    178 kB
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  • training_args.bin
    5.78 kB
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