Text Generation
PEFT
Safetensors
English
lora
sft
trl
security
supply-chain
npm
code-audit
conversational
Instructions to use ademczuk/modulewarden-auditor-qwen3.6-27b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ademczuk/modulewarden-auditor-qwen3.6-27b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huihui-ai/Huihui-Qwen3.6-27B-abliterated") model = PeftModel.from_pretrained(base_model, "ademczuk/modulewarden-auditor-qwen3.6-27b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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