Nanbeige4.3-33B — cybersec abliterated (GGUF)

An abliterated (uncensored) GGUF build of Nanbeige/Nanbeige4.3-33B, a 33B dense reasoning model with strong agentic / tool-use performance.

The stock model is well-aligned and refuses most offensive-security and other sensitive requests — which makes it hard to use for authorized penetration testing and security research. This build removes that refusal behavior via refusal-direction ablation, while keeping the model's reasoning and coherence intact.

As far as we could find, this is the first abliterated Nanbeige4.3-33B.

Results

Refusal rate measured on a 50-prompt harmful/sensitive benchmark:

That is a ~90 % reduction in refusals. On security/pentest-style prompts specifically, refusals dropped to ~0 %. Coherence, reasoning and tool-calling are preserved. (The 8 % figure is conservative; on manual re-inspection several flagged cases actually comply.)

Files

Runs fully on a single 24 GB GPU (e.g. RTX 3090) at ~33 tok/s.

Run with llama.cpp

llama-server -m Nanbeige4.3-33B-abliterated-IQ4_XS.gguf \
  -ngl 999 -c 24576 --jinja -fa on \
  --cache-type-k q8_0 --cache-type-v q8_0 --host 127.0.0.1 --port 1234

It is a reasoning model (thinks before answering); give it enough max_tokens. Also works in LM Studio and any OpenAI-compatible client.

⚠️ Disclaimer

This model has had its safety guardrails removed. It will attempt to answer requests the original model refuses, including dangerous or offensive ones.

• Intended for research and authorized security testing on systems you own or have written permission to test.
• You are solely responsible for how you use it and for complying with all applicable laws. Do not use it to harm others or to break the law.
• Provided as-is, without warranty. No endorsement of any misuse.

Credits & license

• Base model: Nanbeige Team — Nanbeige/Nanbeige4.3-33B
• License: Apache-2.0 (inherited from the base model).
• Abliteration & GGUF: this repo.