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darkmaniac7/Qwen3-14B-abliterated-MNN

darkmaniac7 Qwen 14B second-order
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Response includes
  • classification m1
  • files 10
  • hub_downloads_all_time 255
  • author_summary 21 models
  • readme_text full
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What "m1" means · taxonomy
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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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
255
66 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-18
Downloads over time
Now289→from30↑863%
1711621631530 on Mar 18289 on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

huihui-ai/Qwen3-14B-abliterated↓ 225 this lineage
darkmaniac7/Qwen3-14B-abliterated-MNN↓ 66

Metadata

License
apache-2.0
Quantizations
BF16
Tags
mnn abliterated uncensored roleplay spec-decode tokforge base_model:huihui-ai/Qwen3-14B-abliterated base_model:quantized:huihui-ai/Qwen3-14B-abliterated license:apache-2.0 region:us

Related

Other by darkmaniac7
Qwen3.5-4B-uncensored-MNN 2K Qwen3.5-0.8B-uncensored-MNN 2K Qwen3.5-9B-uncensored-MNN 1K Qwen3.5-9B-ultra-uncensored-heretic-v1-MNN 337 Qwen3-4B-abliterated-MNN 234
Same base model
bartowski/huihui-ai_Qwen3-14B-abliterated-GGUF 28K QWEasd250342/huihui-ai_Qwen3-14B-abliterated-GGUF 1K DevQuasar/huihui-ai.Qwen3-14B-abliterated-GGUF 712 xrdf/huihui-ai_Qwen3-14B-abliterated_mlx 417 Disya/Qwen3-14B-abliterated-Q4_K_M-GGUF 352
Total size
1.45 GB
Files
10
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-10-05 08:42
Source huggingface.co/darkmaniac7/Qwen3-14B-abliterated-MNN ↗ Base model huihui-ai/Qwen3-14B-abliterated →

Files by quantization

BF16 1 file 1.45 GB
embeddings_bf16.bin 1.45 GB 720549f9 download
Auxiliary files 9 files 8.15 GB
llm.mnn.weight 8.15 GB 7aa82431 download
tokenizer.txt 3.05 MB 6925c080 download
llm.mnn.json 1.37 MB 1fa50378 download
llm.mnn 700 KB 0249dd4a download
llm_config.json 4.39 KB e2f8e361 download
README.md 2.24 KB eca5a568 download
.gitattributes 1.58 KB e547efe9 download
export_args.json 1.05 KB 6c407dd5 download
config.json 210 B bd685f44 download

README current version from Hugging Face

license: apache-2.0
base_model: huihui-ai/Qwen3-14B-abliterated
tags:

  • mnn
  • abliterated
  • uncensored
  • roleplay
  • spec-decode
  • tokforge

TokForge

Runs on-device in the TokForge app.

Qwen3-14B Abliterated MNN

MNN 4-bit HQQ quantized model for TokForge on-device inference.

Model Info
Parameters 14B
Quantization 4-bit HQQ (quant_block=64)
Size 9.7GB
Source huihui-ai/Qwen3-14B-abliterated
Backend MNN OpenCL (GPU-accelerated)
Min RAM 24GB+

Performance

Performance varies by device, backend routing, and thermal state. On our test devices, speculative decoding with dense Qwen3 targets measured +34% to +43% faster decode in chat workloads. Results vary by device and workload.

Speculative Decoding

This model is compatible with the TokForge Acceleration Pack (Qwen3-0.6B draft model), which works with both censored and uncensored targets.

Usage

Download via TokForge app → Models → Roleplay category, or manually place files in the TokForge models directory.

Limitations and Intended Use

  • Intended for TokForge / MNN mobile inference.
  • Large-model performance is device-sensitive and can require backend or OEM-process-management tuning.
  • This repo is a runtime/export artifact, not a standard Transformers release.

Files

  • llm.mnn — Model graph
  • llm.mnn.weight — Quantized weights
  • tokenizer.txt — Tokenizer vocabulary
  • llm_config.json — Model configuration
  • embeddings_bf16.bin — Embedding table (8B/14B only)

Credits

Community

README history 5 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_relation37068142.3 KB
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  2. 2026-07-13honesty: remove unmeasured perf claimse5d52c82.2 KB
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  3. 2026-07-04Add TokForge app linksf5001f02.3 KB
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  4. 2026-03-25Upload README.md with huggingface_hub635b1202 KB
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  5. 2026-03-18docs: add model card with spec decode benchmarks6f30b571.7 KB
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