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Abiray/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF

Abiray Qwen 9B GGUF multimodal second-order 1.0M ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Abiray%2FHuihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF"
Response includes
  • classification m8
  • files 11
  • hub_downloads_all_time 21,857
  • author_summary 21 models
  • readme_text full
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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
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
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.

What is a refusal direction? →
Downloads · lifetime
22K
1K last 30d - cooling
Likes
9
Model age
3mo ago
created 2026-06-26
Downloads over time
Now22.7K→from2↑1,136,000%
08.3K16.7K25K2 on Jun 2422.7K on Oct 12JunJulAugSepOct
Jun 24 → Oct 12 · 57 snapshots · spans 110 days

Genealogy 0 direct forks

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

Metadata

License
apache-2.0
Languages
en
Quantizations
Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf qwen3.5 vision text-generation image-text-to-text reasoning uncensored long-context 1M-context abliterated llama.cpp en

Related

Total size
41.9 GB
Files
11
Quantizations
7
Registered
2026-08-22 13:56
Last updated on HF
2026-06-26 16:55

Files by quantization

Q8_0 2 files 9.70 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q8_0.gguf 9.11 GB 5609a558 download
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-Q8_0.gguf 595 MB 4b42001f download
Q6_K 1 file 7.04 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q6_K.gguf 7.04 GB 7f0370ff download
Q5_K 1 file 6.19 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q5_K_M.gguf 6.19 GB 32d5dd64 download
Q4_K 2 files 10.5 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_M.gguf 5.38 GB 90076094 download
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_S.gguf 5.11 GB 541c139f download
Q3_K 2 files 9.11 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_L.gguf 4.70 GB 767b1cd5 download
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_M.gguf 4.41 GB aabaff7e download
F16 1 file 876 MB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-f16.gguf 876 MB b76aad49 download
Auxiliary files 2 files 5.05 KB
README.md 2.71 KB b7dd6881 download
.gitattributes 2.34 KB 98a66f8a download

README current version from Hugging Face


license: apache-2.0
language:

  • en
    base_model: huihui-ai/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated
    tags:
  • qwen3.5
  • vision
  • text-generation
  • image-text-to-text
  • reasoning
  • uncensored
  • long-context
  • 1M-context
  • abliterated
  • gguf
  • llama.cpp

Abiray/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF

This repository contains GGUF format quantizations of huihui-ai/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated, which is an uncensored version of empero-ai's Qwythos-9B-Claude-Mythos-5-1M model stripped of its refusal vectors via abliteration techniques.

Additionally, this repository includes the necessary multimodal projection files (mmproj) required to utilize the model's vision/image-to-text capabilities locally.


Provided Files & Quantization Details

File Name Size Description
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_L.gguf 5.05 GB 3-bit ultra-light quantization, long variant.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q3_K_M.gguf 4.74 GB 3-bit medium quantization. Lowest resource footprint.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_M.gguf 5.78 GB 4-bit medium quantization. Recommended balance of speed and quality.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_S.gguf 5.49 GB 4-bit small variant footprint.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q5_K_M.gguf 6.64 GB 5-bit medium quantization. High quality preservation.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q6_K.gguf 7.56 GB 6-bit quantization. Extremely near-lossless performance.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q8_0.gguf 9.79 GB 8-bit standard quantization. Maximum precision text execution.
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-Q8_0.gguf 624 MB Quantized vision projector adapter (required for vision capabilities).
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.mmproj-f16.gguf 918 MB Unquantized 16-bit float vision projector adapter for absolute vision fidelity.

Deployment & Usage Instructions

Ensure you are utilizing a recent build of llama.cpp to natively handle modern Qwen 3.5 architectures and context window stretching constraints.

1. Pure Text Mode (CLI Inference)

To interact with the model purely over terminal text-generation pipelines:

./llama-cli \
  -m Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated.Q4_K_M.gguf \
  -ngl 99 \
  -c 32768 \
  -fa on \
  -p "<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\nWrite a short story about an AI break-out.<|im_end|>\n<|im_start|>assistant\n"

README history 1 version

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

  1. 2026-06-26Create README.mda2a3c912.7 KB
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