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mradermacher/Qwen2.5-72B-Instruct-heretic-i1-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss < quants: Q2 K IQ3 M Q4 K S IQ3 XXS Q3 K M small IQ4…

transformersggufabliterateduncensoredhereticqwen2.5enbase_model:krthkyadtya/Qwen2.5-72B-Instruct-hereticbase_model:quantized:krthkyadtya/Qwen2.5-72B-Instruct-hereticlicense:otherendpoints_compatibleregion:usimatrixconversational

Runs locally from ~24.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

24 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen2.5-72B-Instruct-heretic.i1-IQ1_M.ggufGGUFIQ1_M22.11 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ1_S.ggufGGUFIQ1_S21.13 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ2_M.ggufGGUFIQ2_M27.32 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ2_S.ggufGGUFIQ2_S26.02 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ2_XS.ggufGGUFIQ2_XS25.20 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ2_XXS.ggufGGUFIQ2_XXS23.74 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ3_M.ggufGGUFIQ3_M33.07 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ3_S.ggufGGUFIQ3_S32.12 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ3_XS.ggufGGUFIQ3_XS30.59 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ3_XXS.ggufGGUFIQ3_XXS29.66 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-IQ4_XS.ggufGGUFIQ4_XS36.98 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q2_K.ggufGGUFQ2_K27.76 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q2_K_S.ggufGGUFQ2_K_S27.54 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q3_K_L.ggufGGUFQ3_K_L36.79 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q3_K_M.ggufGGUFQ3_K_M35.11 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q3_K_S.ggufGGUFQ3_K_S32.12 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q4_0.ggufGGUFQ4_038.54 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q4_1.ggufGGUFQ4_142.56 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q4_K_M.ggufGGUFQ4_K_M44.16 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q4_K_S.ggufGGUFQ4_K_S40.88 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q5_K_M.ggufGGUFQ5_K_M50.71 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q5_K_S.ggufGGUFQ5_K_S47.85 GBDownload
Qwen2.5-72B-Instruct-heretic.i1-Q6_K.ggufGGUFQ6_K59.93 GBDownload
Qwen2.5-72B-Instruct-heretic.imatrix.ggufGGUFGGUF24.1 MBDownload

Model Details

Model IDmradermacher/Qwen2.5-72B-Instruct-heretic-i1-GGUF
Authormradermacher
Pipeline
Licenseother
Base modelkrthkyadtya/Qwen2.5-72B-Instruct-heretic
Last modified2026-08-13T03:00:08.000Z

Model README

---

base_model: krthkyadtya/Qwen2.5-72B-Instruct-heretic

language:

  • en

library_name: transformers

license: other

license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE

license_name: qwen

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • abliterated
  • uncensored
  • heretic
  • qwen2.5

---

About

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

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

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

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

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

<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->

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

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

weighted/imatrix quants of https://huggingface.co/krthkyadtya/Qwen2.5-72B-Instruct-heretic

<!-- provided-files -->

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

static quants are available at https://huggingface.co/mradermacher/Qwen2.5-72B-Instruct-heretic-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 22.8 | for the desperate |

| GGUF | i1-IQ1_M | 23.8 | mostly desperate |

| GGUF | i1-IQ2_XXS | 25.6 | |

| GGUF | i1-IQ2_XS | 27.2 | |

| GGUF | i1-IQ2_S | 28.0 | |

| GGUF | i1-IQ2_M | 29.4 | |

| GGUF | i1-Q2_K_S | 29.7 | very low quality |

| GGUF | i1-Q2_K | 29.9 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 31.9 | lower quality |

| GGUF | i1-IQ3_XS | 32.9 | |

| GGUF | i1-IQ3_S | 34.6 | beats Q3_K* |

| GGUF | i1-Q3_K_S | 34.6 | IQ3_XS probably better |

| GGUF | i1-IQ3_M | 35.6 | |

| GGUF | i1-Q3_K_M | 37.8 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 39.6 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 39.8 | |

| GGUF | i1-Q4_0 | 41.5 | fast, low quality |

| GGUF | i1-Q4_K_S | 44.0 | optimal size/speed/quality |

| GGUF | i1-Q4_1 | 45.8 | |

| GGUF | i1-Q4_K_M | 47.5 | fast, recommended |

| GGUF | i1-Q5_K_S | 51.5 | |

| GGUF | i1-Q5_K_M | 54.5 | |

| GGUF | i1-Q6_K | 64.4 | practically like static Q6_K |

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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