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MangMaster/Qwen3.5-4B-uncensored-MNN

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created 2026-11-04

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Metadata

License
apache-2.0
Languages
en
Tags
mnn abliterated uncensored qwen3.5 on-device mobile roleplay tokforge text-generation en base_model:huihui-ai/Huihui-Qwen3.5-4B-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-4B-abliterated

Related

Total size
0 B
Files
9
Quantizations
1
Registered
2026-11-04 18:02
Last updated on HF
2026-11-04 17:56

Files by quantization

Auxiliary files 9 files 2.22 GB
llm.mnn.weight 2.20 GB d83b0160 download
llm.mnn.json 8.75 MB 01086e6b download
llm.mnn 3.48 MB 7031bf7a download
tokenizer.txt 2.82 MB c98b4ed3 download
llm_config.json 8.13 KB 982a8878 download
README.md 3.30 KB 18740ea4 download
.gitattributes 1.58 KB e547efe9 download
export_args.json 1.07 KB 60585b32 download
config.json 342 B 9e5a45cf download

README current version from Hugging Face


license: apache-2.0
base_model: huihui-ai/Huihui-Qwen3.5-4B-abliterated
base_model_relation: quantized
tags:

  • mnn
  • abliterated
  • uncensored
  • qwen3.5
  • on-device
  • mobile
  • roleplay
  • tokforge
    language:
  • en
    library_name: mnn
    pipeline_tag: text-generation

Published by TokForge for on-device inference.

TokForge

Runs on-device in the TokForge app.

Qwen3.5-4B Abliterated: 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 for LinearAttention)

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 Qwen3.5 uses LinearAttention.
  • 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

Credits

  • Huihui-Qwen3.5-4B-abliterated by huihui-ai (Hugging Face). Used under the Apache-2.0 license.
  • Qwen3.5-4B by the Qwen team (Alibaba Cloud) (Hugging Face). Used under the Apache-2.0 license.
  • Converted with llmexport from MNN by Alibaba (Apache-2.0).

Community

License

Apache 2.0 (inherited from Qwen3.5)

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