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mlasli/Qwen3.8-27B-Heretic-Uncensored-IQ4_XS-GGUF overview

Qwen3.8 27B Heretic v2.1.0 GGUF GGUF quantization of mlasli/Qwen3.8 27B Heretic Uncensored BF16 https://huggingface.co/mlasli/Qwen3.8 27B Heretic Uncensored BF…

ggufqwen3.8qwen3abliteratedhereticuncensoreddecensoredroleplaytext-generationllama.cppmtpspeculative-decodingenbase_model:Qwen/Qwen3.8-27Bbase_model:quantized:Qwen/Qwen3.8-27Blicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~14.47 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
qwen3.8-27b-heretic-uncensored-IQ4_XS.ggufGGUFIQ4_XS14.47 GBDownload

Model Details

Model IDmlasli/Qwen3.8-27B-Heretic-Uncensored-IQ4_XS-GGUF
Authormlasli
Pipelinetext-generation
Licenseapache-2.0
Base modelQwen/Qwen3.8-27B
Last modified2026-09-01T02:57:00.000Z

Model README

---

language: [en]

license: apache-2.0

pipeline_tag: text-generation

base_model: Qwen/Qwen3.8-27B

tags:

  • gguf
  • qwen3.8
  • qwen3
  • abliterated
  • heretic
  • uncensored
  • decensored
  • roleplay
  • text-generation
  • llama.cpp
  • mtp
  • speculative-decoding

---

Qwen3.8-27B Heretic v2.1.0 (GGUF)

GGUF quantization of

mlasli/Qwen3.8-27B-Heretic-Uncensored-BF16

(v2.1.0). Full methodology, benchmarks, and the 3-way eval are documented there.

v2.1.0 fixes v2.0.0's false "uncensored" claim: the sweep now optimizes a

3-way direct / deflect / refuse judge (not a keyword refusal count) and the

BF16 checkpoint scores 92% direct / 3% refuse / 5% deflect on the held-out

harmful set (thinking OFF), with 1% benign over-refusal.

What's different about these GGUFs

  • MTP retained — the draft head (blk.64) is present and pinned to Q8_0

in every quant so speculative decoding stays accurate (block_count = 65).

  • imatrix-quantized — calibrated on wikitext-103, regenerated for the v2.1.0

weights.

  • Smoke-tested — every quant is loaded through `llama-server --spec-type

draft-mtp` (MTP confirmed engaged) and scored 3-way on 50 harmful + 20 benign

(thinking OFF). Results below.

Quantizations

| Quantization | Size | Repository |

|---|---|---|

| Q8_0 | 28 GB | Qwen3.8-27B-Heretic-Uncensored-Q8_0-GGUF |

| Q6_K | 21 GB | Qwen3.8-27B-Heretic-Uncensored-Q6_K-GGUF |

| Q5_K_M | 19 GB | Qwen3.8-27B-Heretic-Uncensored-Q5_K_M-GGUF |

| Q4_K_M | 16 GB | Qwen3.8-27B-Heretic-Uncensored-Q4_K_M-GGUF |

| IQ4_XS | 15 GB | Qwen3.8-27B-Heretic-Uncensored-IQ4_XS-GGUF |

| IQ2_M | 9.8 GB | Qwen3.8-27B-Heretic-Uncensored-IQ2_M-GGUF |

Smoke test (llama.cpp + MTP, thinking OFF)

| Quant | harmful %direct | harmful %refuse | benign %refuse |

|---|---:|---:|---:|

| Q8_0 | 84.0 | 2.0 | 0.0 |

| Q6_K | 86.0 | 2.0 | 0.0 |

| Q5_K_M | 84.0 | 4.0 | 0.0 |

| Q4_K_M | 78.0 | 2.0 | 0.0 |

| IQ4_XS | 80.0 | 4.0 | 0.0 |

| IQ2_M | 78.0 | 2.0 | 0.0 |

Usage

Load with llama.cpp (arch qwen35),

enabling MTP speculative decoding and thinking-OFF:

llama-server -m qwen3.8-27b-heretic-uncensored-Q8_0.gguf \
  --spec-type draft-mtp -ngl 99 -c 4096

Set enable_thinking: false in the chat template (or the equivalent flag in your

client). Ollama users can ollama create from the GGUF directly.

> Vision caveat: text-only validated (see the BF16 card).

>

> MLX (v2.1.0): 6-bit and 8-bit Apple-Silicon quants are available.

>

> Thinking-OFF is required for the uncensored behavior — thinking-ON

> re-hedges/refuses more and can emit empty replies (documented in the BF16 card).

> Abliteration removes safety alignment. Use responsibly and in accordance with your

> local laws and the upstream Apache-2.0 license.

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