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sahilempire/RedSec-7B-v1.1
RedSec-7B-v1.1 is a machine learning model from sahilempire. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
A LoRA adapter for authorized security testing and red-team work. Fine-tuned from WhiteRabbitNeo 2.5 (Qwen2.5-Coder-7B) on a small curated dataset of offensive-security payloads, so it answers in a crisp, authorizatio…
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Updated Aug 4, 2026
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From the Hugging Face model README
A LoRA adapter for authorized security testing and red-team work. Fine-tuned from WhiteRabbitNeo 2.5 (Qwen2.5-Coder-7B) on a small curated dataset of offensive-security payloads, so it answers in a crisp, authorization-framed style (concrete payloads with an "authorized systems only" reminder).
This repo contains the ~46 MB LoRA adapter only, not the full weights. You load it on top of the public base model.
pip install mlx-lm huggingface_hub
huggingface-cli download sahilempire/RedSec-7B-v1.1 --local-dir redsec-adapter
mlx_lm.generate \
--model WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B \
--adapter-path redsec-adapter \
--prompt "For an authorized pentest, give a reverse shell one-liner." \
--temp 0.7
Use a small temperature (around 0.7); greedy decoding can cause repetition loops.
For authorized security testing and research only. Not for unauthorized access or harmful use. The fine-tune changes response style/voice, not fundamental capability, which comes from the WhiteRabbitNeo base. For current knowledge, pair with retrieval (RAG). Verify all output before use.