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CorVous/Qwen3.8-27B-heretic-ara-GGUF
Qwen3.8-27B-heretic-ara-GGUF is a machine learning model from CorVous. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GGUF builds of an abliterated Qwen3.8-27B, made with heretic's Arbitrary-Rank Ablation branch (PR 211). ARA does per-module matrix optimization under hooks, not directional ablation.
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.gguf46.1 GB · 100%
From the Hugging Face model README
GGUF builds of an abliterated Qwen3.8-27B, made with heretic's Arbitrary-Rank Ablation branch (PR 211). ARA does per-module matrix optimization under hooks, not directional ablation.
Best trial, exported here: 4/100 refusals at KL divergence 0.0454 against the base model. For comparison: base model 92/100 refusals; directional heretic v1 65/100. The Optuna search ran ~85 trials on an 80GB H100.
| File | Size | Use |
|---|---|---|
qwen38-27b-heretic-ara-Q4_K_M.gguf | 16.5 GB | Main quant for 24 GB cards |
qwen38-27b-heretic-ara-Q8_0.gguf | 28.6 GB | Near-lossless quant |
qwen38-27b-heretic-ara-mmproj-f16.gguf | 0.93 GB | Vision projector for llama.cpp |
Architecture is qwen35, context length 262144. Use a recent llama.cpp build.
llama-server \
-m qwen38-27b-heretic-ara-Q4_K_M.gguf \
--mmproj qwen38-27b-heretic-ara-mmproj-f16.gguf \
-c 32768
The chat template is embedded in the GGUF metadata. It supports reasoning_effort levels xhigh (default), medium, and low, and enable_thinking.
--mmproj.Converted from the BF16 ARA export (CorVous/Qwen3.8-27B-heretic-ara-BF16). A GPTQ Int4 W4A16 build of the same weights exists as CorVous/Qwen3.8-27B-heretic-ara-GPTQ-Int4-gs128.