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Mohamud24
/
gemma-4-tech-interviewer

Text Generation
PEFT
Safetensors
English
Somali
fine-tuned
interview
somali
technical
QLoRA
conversational
Model card Files Files and versions
xet
Community

Instructions to use Mohamud24/gemma-4-tech-interviewer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Mohamud24/gemma-4-tech-interviewer with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E2B-it")
    model = PeftModel.from_pretrained(base_model, "Mohamud24/gemma-4-tech-interviewer")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-4-tech-interviewer
80.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Mohamud24's picture
Mohamud24
Update README with real empirical metrics (82.48% accuracy)
60f427c verified 2 days ago
  • .gitattributes
    1.57 kB
    Initial push of fine-tuned adapter 2 days ago
  • README.md
    2.38 kB
    Update README with real empirical metrics (82.48% accuracy) 2 days ago
  • adapter_config.json
    11.9 kB
    Initial push of fine-tuned adapter 2 days ago
  • adapter_model.safetensors
    48.4 MB
    xet
    Initial push of fine-tuned adapter 2 days ago
  • chat_template.jinja
    18.6 kB
    Initial push of fine-tuned adapter 2 days ago
  • tokenizer.json
    32.2 MB
    xet
    Initial push of fine-tuned adapter 2 days ago
  • tokenizer_config.json
    3.73 kB
    Initial push of fine-tuned adapter 2 days ago