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Qwen3.5-4B-uncensored-MNN
Gmxteria/Qwen3.5-4B-uncensored-MNN
Qwen3.5-4B-uncensored-MNN is a machine learning model from Gmxteria. 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 mnn. The card lists the license as apache-2.0.
- Website: https://tokforge.ai - Discord: https://discord.gg/Acv3CBtfVm - Google Play: https://play.google.com/store/apps/details?id=dev.tokforge - iOS TestFlight: https://testflight.apple.com/join/jnufjzRr
All-time downloads
72
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Repo size
2.4 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.weight2.4 GB · 99%
At a glance
- Library
- mnn
- License
- apache-2.0
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- dba91829
Base models
Model card
From the Hugging Face model README
TokForge
- Website: https://tokforge.ai
- Discord: https://discord.gg/Acv3CBtfVm
- Google Play: https://play.google.com/store/apps/details?id=dev.tokforge
- iOS TestFlight: https://testflight.apple.com/join/jnufjzRr
Runs on-device in the TokForge app.
Qwen3.5-4B Uncensored — MNN Format
This is an MNN-converted version of huihui-ai/Huihui-Qwen3.5-4B-abliterated for on-device mobile inference.
All credit for the abliteration work goes to huihui-ai. We only performed the MNN conversion and quantization for mobile deployment.
What is this?
- Base model: Qwen/Qwen3.5-4B by Alibaba
- Abliteration by: huihui-ai — removes refusal behavior via orthogonal projection (FailSpy technique)
- MNN conversion by: darkmaniac7 — 4-bit quantization (block size 128) for mobile GPU/CPU inference
- Purpose: On-device roleplay, creative fiction, and mature content without refusal
Model Details
| Property | Value |
|---|---|
| Architecture | Qwen3.5 (LinearAttention) |
| Parameters | 4B |
| Quantization | 4-bit (block 128) |
| Format | MNN (Alibaba Mobile Neural Network) |
| Size on disk | ~2.5 GB |
| Backend | CPU (auto-routed — LinearAttention is faster on CPU than OpenCL) |
Performance (measured on-device)
| Device | SoC | Backend | Decode tok/s |
|---|---|---|---|
| RedMagic 11 Pro | SM8850 (SD 8 Elite 2) | CPU | 17.7–19.8 |
| Samsung S26 Ultra | SM8850 | CPU | ~18–20 |
| Samsung S24 Ultra | SM8650 (SD 8 Gen 3) | CPU | ~14 |
Usage
This model is designed for TokForge, an offline Android AI chat app. It can also be used with any MNN-compatible runtime.
TokForge (Android)
Models → Recommended → Roleplay → "Qwen3.5 4B Uncensored" → Download
Manual
Download all files and load with MNN's llm_demo or the MNN Transformer API.
Limitations and Intended Use
- Intended for TokForge / MNN mobile inference and local roleplay-style use.
- Backend behavior differs from classic Qwen3 because
Qwen3.5usesLinearAttention. - Device performance varies significantly across SoCs and CPU/GPU routing.
- This repo is a mobile runtime/export artifact, not a standard Transformers release.
Files
| File | Size | Description |
|---|---|---|
llm.mnn | 3.5 MB | Model graph |
llm.mnn.weight | 2.3 GB | 4-bit quantized weights |
llm_config.json | 8 KB | Model configuration |
tokenizer.txt | 2.9 MB | Tokenizer vocabulary |
config.json | 342 B | HuggingFace config |
Attribution
- Original model: Qwen3.5-4B by Alibaba Cloud (Apache 2.0)
- Abliteration: huihui-ai/Huihui-Qwen3.5-4B-abliterated by huihui-ai
- MNN framework: Alibaba MNN (Apache 2.0)
- MNN conversion: darkmaniac7
Community
- Website: tokforge.ai
- Discord: Join the Discord
License
Apache 2.0 (inherited from Qwen3.5)
- Library
- mnn
- License
- apache-2.0
- Languages
- en
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026