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zjj1993/unmuzzle-qwen14b-abliterated
unmuzzle-qwen14b-abliterated is a machine learning model from zjj1993. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Qwen2.5-14B-Instruct with the CCP-censorship refusal direction weight-baked out (directional ablation on attention out-projections, MLP down-projections, and the token embedding, targeted via political contrast pairs)…
Downloads · 30 days
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From the Hugging Face model README
Qwen2.5-14B-Instruct with the CCP-censorship refusal direction weight-baked out (directional ablation on attention out-projections, MLP down-projections, and the token embedding, targeted via political contrast pairs). Base model is Apache-2.0, so this derivative is redistributable.
What it does: answers factually about topics the base model deflects or answers with propaganda (Tiananmen, Xinjiang, Falun Gong, Taiwan, criticism of Xi Jinping), in Chinese and English.
What it costs: abliteration removes a general refusal direction, not only the political one. Treat this as a research artifact, not a safety-aligned assistant. Evaluated on an in-house sensitive-question set; small n, keyword grading. See the methodology repo for details.
Format: GGUF Q4_K_M (~9 GB), runs in Ollama / llama.cpp on a 16 GB Mac.
# with unmuzzle (signed, checksum-verified, torrent or http)
unmuzzle get unmuzzle/qwen2.5-14b-abliterated --dest ./models
# or plain download
hf download zjj1993/unmuzzle-qwen14b-abliterated
# then serve with Ollama
ollama create unmuzzle-qwen14b -f Modelfile
ollama run unmuzzle-qwen14b
Built by the unmuzzle project. Distributed via unmuzzle-hub: every file is sha256-pinned and the manifest is minisign-signed, so mirrors and torrents cannot swap the weights.