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Huihui Qwen3.8 27B abliterated GGUF

Huihui Qwen3.8 27B abliterated GGUF is a proof-of-concept, uncensored GGUF conversion of Qwen/Qwen3.8-27B created by abliteration, distributed by huihui-ai under apache-2.0. The repository offers several GGUF series derived from different base GGUF sources, including bf16, UD, UD-DW, GSQ-RCO, and Ternary variants. Abliteration is applied to selected layer ranges, with differences between updates: the latest update ablates layers 17 to 52 (0-based indexing), while update 4 and later update 5/6 series reportedly ablate only layers 22 to 52. The base model card lists pipeline_tag image-text-to-text and notes that MTP and visual components were not modified. The ternary hybrid-attention files require the PrismML-Eng/llama.cpp fork and will not run with stock llama.cpp. Some weights below Q8_0 were converted to Q8_0 (filenames K_L), Q8_0 weights were changed to BF16 (Q8_0_L), and the resulting file sizes may differ from the original GGUF. The model card labels this as a test/validation and a crude proof-of-concept implementation.

EstimatedRepository opened Aug 16, 2026Source checked 9/24/2026Version: 3f101cd2
LOCALRENTED GPUOPEN WEIGHTS
Freshness 79 out of 100. Repository age: 60 days old, Aug 16, 2026. Measures age, not quality.
Popularity 85 out of 100. 2,329,638 downloads in 30 days; 1,330 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

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Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Architecture
unknown
License
apache-2.0
Disk space
15.4 GB
Software
PrismML llama.cpp fork
View the model source
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Best for

  • Local GGUF inference via llama.cpp-compatible tooling
  • Loading with Transformers where supported by the model format
  • Image-text-to-text prompting
  • Experimentation with uncensored/abliterated model behavior
  • Evaluating different GGUF quantization series (bf16, UD, UD-DW, GSQ-RCO, Ternary)

Tradeoffs

  • Uncensored/abliterated model behavior may be unsuitable for some applications
  • Ternary hybrid-attention files require the PrismML-Eng/llama.cpp fork, not stock llama.cpp
  • Abliteration is partial and differs by update, affecting only selected layer ranges
  • This is described by the source as a crude proof-of-concept and test/validation
  • Converted GGUF sizes may differ from the original, and nonstandard quantization naming/sizing may be confusing

Ways to run it

PrismML llama.cpp fork · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-cli -m huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF/Huihui-Qwen3.8-27B-abliterated-Q4_K.gguf -c 262144
Official instructions

Explore its uses

GGUFIMAGE-TEXT-TO-TEXT

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Popularity 90 out of 100. 4,849,199 downloads in 30 days; 2,697 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
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Freshness 13 out of 100. Repository age: 536 days old, Apr 27, 2025. Measures age, not quality.
Popularity 93 out of 100. 9,578,964 downloads in 30 days; 2,119 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE8.2B
Huihui Qwen3.8 27B abliterated GGUF: hardware, VRAM & setup | YouRunAI