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mradermacher/MachiNoDolphin-Qwen2.5-72b-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: nicoboss static quants of https://huggingface.co/KaraKaraWare…

transformersggufmergekitmergezhoengfraspapordeuitarusjpnkorviethaarabase_model:KaraKaraWarehouse/MachiNoDolphin-Qwen2.5-72bbase_model:quantized:KaraKaraWarehouse/MachiNoDolphin-Qwen2.5-72bendpoints_compatibleregion:usconversational

Runs locally from ~27.76 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Likes
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Pipeline

Repository Files & Downloads

7 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
MachiNoDolphin-Qwen2.5-72b.IQ4_XS.ggufGGUFGGUF37.40 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q2_K.ggufGGUFGGUF27.76 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q3_K_L.ggufGGUFGGUF36.79 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q3_K_M.ggufGGUFGGUF35.11 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q3_K_S.ggufGGUFGGUF32.12 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q4_K_M.ggufGGUFGGUF44.16 GBDownload
MachiNoDolphin-Qwen2.5-72b.Q4_K_S.ggufGGUFGGUF40.88 GBDownload

Model Details

Model IDmradermacher/MachiNoDolphin-Qwen2.5-72b-GGUF
Authormradermacher
Pipeline
License
Base modelKaraKaraWarehouse/MachiNoDolphin-Qwen2.5-72b
Last modified2026-08-20T03:09:35.000Z

Model README

---

base_model: KaraKaraWarehouse/MachiNoDolphin-Qwen2.5-72b

language:

  • zho
  • eng
  • fra
  • spa
  • por
  • deu
  • ita
  • rus
  • jpn
  • kor
  • vie
  • tha
  • ara

library_name: transformers

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • mergekit
  • merge

---

About

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

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

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

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

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

static quants of https://huggingface.co/KaraKaraWarehouse/MachiNoDolphin-Qwen2.5-72b

<!-- 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/MachiNoDolphin-Qwen2.5-72b-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 | Q2_K | 29.9 | |

| GGUF | Q3_K_S | 34.6 | |

| GGUF | Q3_K_M | 37.8 | lower quality |

| GGUF | Q3_K_L | 39.6 | |

| GGUF | IQ4_XS | 40.3 | |

| GGUF | Q4_K_S | 44.0 | fast, recommended |

| GGUF | Q4_K_M | 47.5 | fast, recommended |

| PART 1 PART 2 | Q5_K_S | 51.5 | |

| PART 1 PART 2 | Q5_K_M | 54.5 | |

| PART 1 PART 2 | Q6_K | 64.4 | very good quality |

| PART 1 PART 2 | Q8_0 | 77.4 | 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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