mradermacher/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-GGUF overview

---

base_model: ansulev/Qwen3.6-27B-Heretic2-Thinking

language:

• en
• zh

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• unsloth
• heretic
• uncensored
• abliterated
• fine tune
• creative
• creative writing
• fiction writing
• plot generation
• sub-plot generation
• fiction writing
• story generation
• scene continue
• storytelling
• fiction story
• science fiction
• romance
• all genres
• story
• writing
• vivid prosing
• vivid writing
• fiction
• roleplaying
• bfloat16
• all use cases

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->

<!-- ### quants_skip: -->

<!-- ### skip_mmproj: -->

static quants of https://huggingface.co/ansulev/Qwen3.6-27B-Heretic2-Thinking

<!-- provided-files -->

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

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

| GGUF | mmproj-Q8_0 | 0.7 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |

| GGUF | Q2_K | 10.8 | |

| GGUF | Q3_K_S | 12.2 | |

| GGUF | Q3_K_M | 13.4 | lower quality |

| GGUF | Q3_K_L | 14.4 | |

| GGUF | IQ4_XS | 15.3 | |

| GGUF | Q4_K_S | 15.7 | fast, recommended |

| GGUF | Q4_K_M | 16.6 | fast, recommended |

| GGUF | Q5_K_S | 18.8 | |

| GGUF | Q5_K_M | 19.3 | |

| GGUF | Q6_K | 22.2 | very good quality |

| GGUF | Q8_0 | 28.7 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

<!-- end -->