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Veilance
/
Verity-27B-v2

Text Generation
PEFT
Safetensors
English
veilance
verity
privacy-policy
browser-privacy
telemetry
policy-analysis
qwen3.8
lora
structured-output
json
conversational
Model card Files Files and versions
xet
Community

Instructions to use Veilance/Verity-27B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Veilance/Verity-27B-v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B")
    model = PeftModel.from_pretrained(base_model, "Veilance/Verity-27B-v2")
  • Notebooks
  • Google Colab
  • Kaggle
Verity-27B-v2
1.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Veilance's picture
Veilance
updates README
ca23ee0 13 days ago
  • test_records
    release Verity-27B-v2 13 days ago
  • .gitattributes
    1.57 kB
    release Verity-27B-v2 13 days ago
  • README.md
    14.7 kB
    updates README 13 days ago
  • adapter_config.json
    1.32 kB
    release Verity-27B-v2 13 days ago
  • adapter_model.safetensors
    998 MB
    xet
    release Verity-27B-v2 13 days ago
  • chat_template.jinja
    8.95 kB
    release Verity-27B-v2 13 days ago
  • tokenizer.json
    20 MB
    xet
    release Verity-27B-v2 13 days ago
  • tokenizer_config.json
    1.13 kB
    release Verity-27B-v2 13 days ago