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mradermacher/Heretic-Qwen3-VL-235B-A22B-Instruct-GGUF overview

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…

transformersggufhereticuncensoreddecensoredabliteratedenbase_model:KaraKaraWarehouse/Heretic-Qwen3-VL-235B-A22B-Instructbase_model:quantized:KaraKaraWarehouse/Heretic-Qwen3-VL-235B-A22B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~717.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
1,295
Likes
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Pipeline
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Repository Files & Downloads

13 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Heretic-Qwen3-VL-235B-A22B-Instruct.IQ4_XS.ggufGGUFGGUF117.97 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q2_K.ggufGGUFGGUF79.81 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q3_K_L.ggufGGUFGGUF113.46 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q3_K_M.ggufGGUFGGUF104.72 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q3_K_S.ggufGGUFGGUF94.48 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q4_K_M.ggufGGUFGGUF132.39 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q4_K_S.ggufGGUFGGUF124.51 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q5_K_M.ggufGGUFGGUF155.36 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q5_K_S.ggufGGUFGGUF150.76 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q6_K.ggufGGUFGGUF179.76 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.Q8_0.ggufGGUFGGUF232.77 GBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.mmproj-Q8_0.ggufGGUFQ8_0717.4 MBDownload
Heretic-Qwen3-VL-235B-A22B-Instruct.mmproj-f16.ggufGGUFF161.08 GBDownload

Model Details

Model IDmradermacher/Heretic-Qwen3-VL-235B-A22B-Instruct-GGUF
Authormradermacher
Pipeline—
Licenseapache-2.0
Base modelKaraKaraWarehouse/Heretic-Qwen3-VL-235B-A22B-Instruct
Last modified2026-10-10T07:22:50.000Z

Model README

---

base_model: KaraKaraWarehouse/Heretic-Qwen3-VL-235B-A22B-Instruct

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • heretic
  • uncensored
  • decensored
  • abliterated

---

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/KaraKaraWarehouse/Heretic-Qwen3-VL-235B-A22B-Instruct

<!-- 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/Heretic-Qwen3-VL-235B-A22B-Instruct-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 | 0.9 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.3 | multi-modal supplement |

| GGUF | Q2_K | 85.8 | |

| GGUF | Q3_K_S | 101.5 | |

| GGUF | Q3_K_M | 112.5 | lower quality |

| GGUF | Q3_K_L | 121.9 | |

| GGUF | IQ4_XS | 126.8 | |

| GGUF | Q4_K_S | 133.8 | fast, recommended |

| GGUF | Q4_K_M | 142.3 | fast, recommended |

| GGUF | Q5_K_S | 162.0 | |

| GGUF | Q5_K_M | 166.9 | |

| GGUF | Q6_K | 193.1 | very good quality |

| GGUF | Q8_0 | 250.0 | 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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

<!-- end -->

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