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Takzen
/
jay-4b

Text Classification
PEFT
Safetensors
English
npm
supply-chain-security
malware-detection
malicious-packages
security
triage
typed-decisions
lora
qlora
Model card Files Files and versions
xet
Community

Instructions to use Takzen/jay-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Takzen/jay-4b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B")
    model = PeftModel.from_pretrained(base_model, "Takzen/jay-4b")
  • Notebooks
  • Google Colab
  • Kaggle
jay-4b
244 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Takzen's picture
Takzen
Jay 4B v1.0 (pilot 2)
5ec81d1 verified 14 days ago
  • .gitattributes
    1.57 kB
    Jay 4B v1.0 (pilot 2) 14 days ago
  • CALIBRATION.json
    420 Bytes
    Jay 4B v1.0 (pilot 2) 14 days ago
  • README.md
    9.88 kB
    Jay 4B v1.0 (pilot 2) 14 days ago
  • adapter_config.json
    1.22 kB
    Jay 4B v1.0 (pilot 2) 14 days ago
  • adapter_model.safetensors
    244 MB
    xet
    Jay 4B v1.0 (pilot 2) 14 days ago
  • jay-banner.png
    76.6 kB
    Jay 4B v1.0 (pilot 2) 14 days ago
  • jay_infer.py
    14.1 kB
    Jay 4B v1.0 (pilot 2) 14 days ago
  • results-en.png
    121 kB
    xet
    Jay 4B v1.0 (pilot 2) 14 days ago