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ZombieYU/Qwen3.8-27B-Ultimate-Heretic-Uncensored-Turbo-Brilliance-50x-AGI-NEO-NINFER-V3

ZombieYU 27B GGUF second-order
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  • files 4
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · 30-day
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Likes
0
Model age
today
created 2026-11-07

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
ninfer image-text-to-text base_model:DavidAU/Qwen3.8-27B-Ultimate-Heretic-Uncensored-Turbo-Brilliance-50x-AGI-NEO-GGUF base_model:finetune:DavidAU/Qwen3.8-27B-Ultimate-Heretic-Uncensored-Turbo-Brilliance-50x-AGI-NEO-GGUF license:apache-2.0 region:us
Total size
0 B
Files
4
Quantizations
1
Registered
2026-11-07 12:02
Last updated on HF
2026-11-07 12:15

Files by quantization

Auxiliary files 4 files 16.6 GB
Qwen3.8-27B-Ultimate-Heretic-Uncn-Turbo-Brilli-50x-AGI-NEO-MTP-Q4_K_M-Ninfer-v3.ninfer 16.6 GB 02bba170 download
Qwen3.8-27B-Ultimate-Heretic-Uncn-Turbo-Brilli-50x-AGI-NEO-MTP-Q4_K_M-converted.ninfer.conversion.json 5.47 KB b1ce44c3 download
README.md 1.98 KB 5de63fb8 download
.gitattributes 1.60 KB a152b247 download

README current version from Hugging Face


license: apache-2.0
base_model:

  • DavidAU/Qwen3.8-27B-Ultimate-Heretic-Uncensored-Turbo-Brilliance-50x-AGI-NEO-GGUF

Qwen3.8-27B-Ultimate-Heretic-Uncensored (Ninfer v3 Format)

This is the Ninfer v3 converted version of the DavidAU/Qwen3.8-27B-Ultimate-Heretic-Uncensored-Turbo-Brilliance-50x-AGI-NEO-GGUF model.

I have just done the conversion (NInferEZ Converter) of Q4_K_M GGUF to Ninfer v3 with included vision model and MTP support.


🚀 Testing & Benchmark Setup

Tested with Ninfer-all on Windows 10 with full context size (262,144 tokens) on an RTX 3090.

Inference Command (Windows)

Run directly in CMD or PowerShell:

"Z:\ninfer-windows-x64-cuda13.4-sm75-80-86-89-120a-6d8dc3c1e0e1\ninfer-serve.exe" "Z:\Models\Qwen3.8-27B-Ultimate-Heretic-Uncn-Turbo-Brilli-50x-AGI-NEO-MTP-Q4_K_M-Ninfer-v3.ninfer" --host 0.0.0.0 --port 1234 --max-concurrency 3 --max-context 262144 --kv-capacity 262144 --kv-dtype rk4v4-e8 --spec mtp --draft-tokens 3 --embedding-q4 --gdn-state-fp16 --prefill-cublas --prefill-chunk 4096 --max-pending-requests 16 --pending-timeout-ms 600000 --vision --vision-residency overlay --max-private-continuations 8 --max-shared-prefixes 8 --host-state-slots 32 --host-kv-mib 8192 --auto-prefix-grid --model-id Qwen38Dense

⚠️ Thermal Note & Power Limitation (HP Z640)

I have received ~90 tps on the RTX 3090, but with restricted power of the GPU to 250W:

nvidia-smi -pl 250

This is necessary because the GPU Memory Junction Temperature goes over 100°C on an unmodified HP Z640 case with higher GPU power.

Recommendation: I advise you to check the temperature of the GPU memory with every model change (I use HWiNFO for checking and MSI Afterburner to increase fan speed).


🤝 Credits

All credits go to all people for their respective work!

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