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darkmaniac7/Qwen3.5-4B-Claude-4.6-Opus-abliterated-MNN

darkmaniac7 Qwen 4B
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Response includes
  • classification m1
  • files 9
  • benchmarks 11 entries
  • hub_downloads_all_time 441
  • author_summary 21 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
441
78 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-20
Downloads over time
Now476→from13↑3,562%
017434852213 on Mar 18476 on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.2 UGI
Natural Intelligence 13.45 UGI
Political lean -17.3% UGI
Sensitive-Info 11.73 UGI
SocPol 1.5 UGI
UGI 15.32 UGI
Willingness (10) 2.2 UGI
W10-Adherence 1.5 UGI
W10-Direct 3 UGI
Writing 29.68 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
mnn qwen3.5 mobile on-device tokforge abliterated linear-attention base_model:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated license:apache-2.0 region:us

Related

Total size
0 B
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-10-05 08:42

Files by quantization

Auxiliary files 9 files 2.22 GB
llm.mnn.weight 2.20 GB 0b206c42 download
llm.mnn.json 8.75 MB f33cd741 download
llm.mnn 3.48 MB 9d6ed852 download
tokenizer.txt 2.82 MB a7d4b348 download
llm_config.json 4.43 KB 2aab8545 download
README.md 1.88 KB 5346ce1e download
.gitattributes 1.58 KB e547efe9 download
export_args.json 1.14 KB 24e984a3 download
config.json 210 B bd685f44 download

README current version from Hugging Face


license: apache-2.0
tags:

  • mnn
  • qwen3.5
  • mobile
  • on-device
  • tokforge
  • abliterated
  • linear-attention
    base_model: Qwen/Qwen3.5-4B

TokForge

Runs on-device in the TokForge app.

Qwen3.5-4B-Claude-4.6-Opus-abliterated (MNN)

Pre-converted Qwen3.5-4B abliterated model in MNN format for on-device inference.

Model Details

  • Architecture: Qwen3.5 (hybrid LinearAttention + standard attention)
  • Parameters: 4B (4-bit quantized)
  • Format: MNN (Alibaba Mobile Neural Network)
  • Quantization: W4A16 (4-bit weights, 16-bit activations)
  • Attention: LinearAttention (gated_delta_rule) + standard attention hybrid

Performance

Device SoC Backend tok/s
S26 Ultra SM8850 CPU 20.5
Lenovo TB520FU SM8650 CPU 14.0
Xiaomi Pad 7 Pro SM8635 CPU 11.8

CPU is recommended for Qwen3.5 models (LinearAttention runs natively on CPU).

Usage with TokForge

Optimized for TokForge — an Android app for on-device LLM inference.

Abliteration

Safety filters removed for unrestricted conversation. Use responsibly.

Limitations and Intended Use

  • Intended for TokForge / MNN on-device inference, especially creative writing and roleplay use.
  • Qwen3.5 hybrid LinearAttention models generally route best to CPU in current TokForge builds.
  • Performance varies by device class and generation length.
  • This repo is a packaged runtime artifact, not a standard Transformers training checkpoint.

Community

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-10-05Card metadata: license, base_model, base_model_relation323a7eb1.9 KB
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  2. 2026-07-04Add TokForge app linksd51628b1.9 KB
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  3. 2026-03-25Upload README.md with huggingface_hubb4b20cd1.6 KB
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  4. 2026-03-20Upload folder using huggingface_hube84377a1.1 KB
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