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cheapmoe-vul-anon/cheapmoe-adapters
cheapmoe-adapters is a machine learning model from cheapmoe-vul-anon. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Pre-trained LoRA adapter weights for CheapMoE-Vul vulnerability detection.
Downloads · 30 days
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Updated Jun 29, 2026
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From the Hugging Face model README
Pre-trained LoRA adapter weights for CheapMoE-Vul vulnerability detection.
adapters_cm_dv/ — DiverseVul adapters (Qwen2.5-Coder-1.5B, 8 experts, ~1.18GB)adapters_cm_xlang/ — CrossVul adapters (Qwen2.5-Coder-1.5B, 5 experts, ~739MB)adapters_cm_dv7b/ — DiverseVul adapters (Qwen2.5-7B, 2 experts, ~323MB)Download and extract to your artifact directory:
cd /path/to/artifact
# Download from HuggingFace Hub
huggingface-cli download cheapmoe-vul-anon/cheapmoe-adapters --local-dir ./hf_download
# Move to correct locations
mv hf_download/adapters_cm_dv/ ./
mv hf_download/adapters_cm_xlang/ ./
mv hf_download/adapters_cm_dv7b/ ./
# Cleanup
rm -rf hf_download
These adapters are optional for verification. All paper results are pre-computed
and stored in the results*/ directories of the main artifact repository.
You only need these adapters if you want to:
For quick verification of paper claims, see the main artifact README.
MIT