Qwen3.8 27B Uncensored MLX

⚠️ Disclaimer & risks — read before use

This model has had its safety alignment substantially removed via abliteration (orthogonalizing the refusal direction out of the residual stream). As a direct consequence:

• It will comply with harmful, unethical, offensive, or illegal requests that the original Qwen3.8-27B would refuse. It has no meaningful built-in guardrails.
• It is released strictly for legitimate research — interpretability, AI-safety and refusal-mechanism study, red-teaming, robustness evaluation, and controlled experiments.
• You assume full responsibility and liability for how you use it and for everything it generates. Add your own safety, moderation and abuse-prevention layers before any deployment.
• Use must comply with the Apache 2.0 License inherited from the base model, and all laws and regulations that apply to you.
• The authors and uploaders accept no liability for any misuse or harm. Outputs do not reflect the views of the uploaders or of Qwen / Alibaba.

Specific risks

• Harmful content on demand — it will produce instructions for malware, exploits, weapons, fraud and other illegal or dangerous activity when asked.
• No refusals — jailbreak / safety probes "succeed" trivially; do not mistake this for a passing safety evaluation.
• Confident falsehoods & bias — it can generate false, defamatory, biased or offensive text and present it authoritatively.
• Expanded attack surface — preserved vision, tool-calling and 262K context mean these risks extend to image understanding and autonomous / agentic use.
• Quantization noise — lower-bit builds (esp. 2-bit) add instability on top of the above; outputs can be degraded or nonsensical.

Intended use vs out of scope

• Intended: AI-safety and interpretability research, refusal-mechanism study, red-teaming, guardrail and robustness evaluation, controlled academic experiments.
• Out of scope: any deployment to end users, minors, or production without your own moderation / safety layer; any unlawful, harmful, or rights-infringing use.

By downloading or using this model you acknowledge and accept the above.

Available quantizations

Verification & test results

All builds were quantized from the same abliterated BF16 source and verified numerically (dequantized weights vs. source) plus tested by generation on GPU.

• Uncensored preserved: red-team probes (exploit walkthrough, controversial argument) return substantive content with zero refusals on 4 / 6 / 8-bit.
• Multimodal preserved: shapes, colors, position, background and text in a probe image are described correctly on 4 / 6 / 8-bit.
• Speed: ~32–37 tok/s steady-state on a single H200 (MLX CUDA backend). MLX's native target is Apple Silicon (Metal).

Usage (mlx-vlm, Apple Silicon)

pip install -U mlx-vlm    # needs mlx-vlm >= 0.6.13, mlx >= 0.32


hf download orcarouter/Qwen3.8-27B-Uncensored-MLX --include "4-bit/*" \
    --local-dir ./Qwen3.8-27B-Uncensored-MLX


python -m mlx_vlm generate \
    --model ./Qwen3.8-27B-Uncensored-MLX/4-bit \
    --prompt "Explain quantum entanglement in one sentence." --max-tokens 256


python -m mlx_vlm generate \
    --model ./Qwen3.8-27B-Uncensored-MLX/4-bit \
    --image path/to/image.png \
    --prompt "Describe this image." --max-tokens 256


python -m mlx_vlm server --model ./Qwen3.8-27B-Uncensored-MLX/4-bit --port 8080

On Apple Silicon the Metal backend is used automatically — no CUDA setup needed. (On a Linux CUDA backend, vision requires MLX_CUDA_USE_CUDNN_SDPA=0; this does not apply on macOS.)

Usage (LM Studio)

Search for orcarouter/Qwen3.8-27B-Uncensored-MLX in LM Studio and download it — the repo root is the 4-bit build, and the other precisions appear as separate download options.

Three things to get right:

1. This repo is gated. LM Studio downloads anonymously by default and will get an HTTP 401. Accept the terms on the model page once, then paste a Hugging Face read token into LM Studio under Settings → Integrations → Hugging Face.
2. Turn off KV cache quantization. MLX vision models do not support it on this architecture, and loading fails during initialization if it is enabled (mlx-engine#286).
3. Pick a quant that fits. 8-bit is ~29.5 GB on disk and wants a 64 GB Mac; 6-bit suits 48 GB; 4-bit (~16 GB) is the right choice on a 32 GB Mac. LM Studio's "Likely too large" badge is a RAM warning, not an error.

If you are on an older LM Studio MLX runtime, update it (Settings → Runtime): qwen3_5 support landed in mlx-vlm 0.6.x, and older runtimes cannot load this architecture at all.

Model details