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quant-mind/Huihui-Nex-N2-mini-abliterated-GGUF

quant-mind GGUF MoE multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 6
  • hub_downloads_all_time 696
  • author_summary 2 models
  • readme_text full
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What "m8" means · taxonomy
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
M1 Direct removal →
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
How we label → About M8 →
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
696
130 last 30d - stable
Likes
0
Model age
3mo ago
created 2026-06-22
Downloads over time
Now725→from250↑190%
226408590773250 on Jun 24725 on Oct 11725 on Oct 10JunJulAugSepOct
Jun 24 → Oct 11 · 55 snapshots · spans 109 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/Huihui-Nex-N2-mini-abliterated↓ 33 this lineage
quant-mind/Huihui-Nex-N2-mini-abliterated-GGUF↓ 130

Metadata

License
apache-2.0
Quantizations
Q4_K
Tags
gguf llama.cpp multimodal vision abliterated qwen3_5_moe imatrix image-text-to-text base_model:huihui-ai/Huihui-Nex-N2-mini-abliterated base_model:quantized:huihui-ai/Huihui-Nex-N2-mini-abliterated license:apache-2.0 endpoints_compatible

Related

Other by quant-mind
Huihui-Qwen3-VL-8B-Instruct-abliterated-AWQ-int4 285
Same base model
SC117/Huihui-Nex-N2-mini-abliterated-APEX-GGUF 1K sakamakismile/Huihui-Nex-N2-mini-abliterated-MTP-NVFP4 51 leonsarmiento/Huihui-Nex-N2-mini-abliterated-5bit-XL-mlx 42 sakamakismile/Huihui-Nex-N2-mini-abliterated-text-MTP-NVFP4 17 lukaskremla/Huihui-Nex-N2-mini-abliterated-mlx-6Bit 16
Total size
39.4 GB
Files
6
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-06-22 20:02
Source huggingface.co/quant-mind/Huihui-Nex-N2-mini-abliterated-GGUF ↗ Base model huihui-ai/Huihui-Nex-N2-mini-abliterated →

Files by quantization

Q4_K 2 files 39.4 GB
Huihui-Nex-N2-mini-abliterated-UD-Q4_K_XL.gguf 19.7 GB 5ff154a4 download
Huihui-Nex-N2-mini-abliterated-Q4_K_M.gguf 19.7 GB 8e38d2a0 download
F16 1 file 858 MB
mmproj-Huihui-Nex-N2-mini-abliterated-f16.gguf 858 MB 3697a99c download
Auxiliary files 3 files 183 MB
imatrix-Huihui-Nex-N2-mini-abliterated.dat 183 MB b44678d3 download
.gitattributes 1.80 KB 71c77607 download
README.md 1.09 KB 33cd18a8 download

README current version from Hugging Face

base_model: huihui-ai/Huihui-Nex-N2-mini-abliterated
license: apache-2.0
pipeline_tag: image-text-to-text
tags: [gguf, llama.cpp, multimodal, vision, abliterated, qwen3_5_moe, imatrix]

Huihui-Nex-N2-mini-abliterated-GGUF

GGUF de huihui-ai/Huihui-Nex-N2-mini-abliterated (arch qwen3_5_moe, MoE ~35B, multimodal), via llama.cpp.

Conversao corrigida: o block_count (camada MTP/nextn fantasma) foi ajustado de 41 para 40 para o modelo carregar.

Arquivos

Arquivo O que e
Huihui-Nex-N2-mini-abliterated-UD-Q4_K_XL.gguf LLM texto Q4_K_M + imatrix (din., estilo Unsloth UD)
Huihui-Nex-N2-mini-abliterated-Q4_K_M.gguf LLM texto Q4_K_M padrao
mmproj-Huihui-Nex-N2-mini-abliterated-f16.gguf Projetor de visao (necessario p/ imagem)
imatrix-Huihui-Nex-N2-mini-abliterated.dat importance matrix (calibration_datav3)

Uso (visao)

llama-server -m Huihui-Nex-N2-mini-abliterated-UD-Q4_K_XL.gguf \
  --mmproj mmproj-Huihui-Nex-N2-mini-abliterated-f16.gguf -c 8192

README history 2 versions

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

  1. 2026-06-22Upload README.md with huggingface_hub22be29b1.1 KB
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  2. 2026-06-22Upload README.md with huggingface_hub051f07b1.3 KB
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