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mradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-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…

transformersggufconversationaluncensoredomnivisionqwen3_5_textzero-point-intelligencemarthadundeescottishroleplayingfiction-writingcreative-writingmultimodalimage-text-to-textenbase_model:ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_basebase_model:quantized:ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_baselicense:otherendpoints_compatibleregion:usimatrix

Runs locally from ~9.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
image-text-to-text

Repository Files & Downloads

24 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ1_M.ggufGGUFIQ1_M5.63 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ1_S.ggufGGUFIQ1_S5.30 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ2_M.ggufGGUFIQ2_M7.32 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ2_S.ggufGGUFIQ2_S6.87 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ2_XS.ggufGGUFIQ2_XS6.65 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ2_XXS.ggufGGUFIQ2_XXS6.19 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ3_M.ggufGGUFIQ3_M9.16 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ3_S.ggufGGUFIQ3_S9.05 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ3_XS.ggufGGUFIQ3_XS8.73 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ3_XXS.ggufGGUFIQ3_XXS8.15 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-IQ4_XS.ggufGGUFIQ4_XS10.94 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q2_K.ggufGGUFQ2_K7.82 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q2_K_S.ggufGGUFQ2_K_S7.50 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q3_K_L.ggufGGUFQ3_K_L10.39 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q3_K_M.ggufGGUFQ3_K_M9.67 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q3_K_S.ggufGGUFQ3_K_S8.81 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q4_0.ggufGGUFQ4_011.25 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q4_1.ggufGGUFQ4_112.36 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q4_K_M.ggufGGUFQ4_K_M11.97 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q4_K_S.ggufGGUFQ4_K_S11.30 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q5_K_M.ggufGGUFQ5_K_M13.88 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q5_K_S.ggufGGUFQ5_K_S13.50 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.i1-Q6_K.ggufGGUFQ6_K15.91 GBDownload
MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base.imatrix.ggufGGUFGGUF9.8 MBDownload

Model Details

Model IDmradermacher/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-i1-GGUF
Authormradermacher
Pipelineimage-text-to-text
Licenseother
Base modelZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base
Last modified2026-07-20T15:15:44.000Z

Model README

---

base_model: ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base

language:

  • en

library_name: transformers

license: other

license_link: https://huggingface.co/ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base/blob/main/NOTICE

license_name: zpi-model-license-v2

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • conversational
  • uncensored
  • omni
  • vision
  • qwen3_5_text
  • zero-point-intelligence
  • martha
  • dundee
  • scottish
  • roleplaying
  • fiction-writing
  • creative-writing
  • multimodal
  • image-text-to-text

---

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/ZERO-POINT-AI/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base

<!-- 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/MARTHA-LXVIII.21b_QWEN-3.5-3.6_prune_27b-3.6_base-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 | 5.8 | for the desperate |

| GGUF | i1-IQ1_M | 6.1 | mostly desperate |

| GGUF | i1-IQ2_XXS | 6.8 | |

| GGUF | i1-IQ2_XS | 7.2 | |

| GGUF | i1-IQ2_S | 7.5 | |

| GGUF | i1-IQ2_M | 8.0 | |

| GGUF | i1-Q2_K_S | 8.2 | very low quality |

| GGUF | i1-Q2_K | 8.5 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 8.8 | lower quality |

| GGUF | i1-IQ3_XS | 9.5 | |

| GGUF | i1-Q3_K_S | 9.6 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 9.8 | beats Q3_K* |

| GGUF | i1-IQ3_M | 9.9 | |

| GGUF | i1-Q3_K_M | 10.5 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 11.3 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 11.8 | |

| GGUF | i1-Q4_0 | 12.2 | fast, low quality |

| GGUF | i1-Q4_K_S | 12.2 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 13.0 | fast, recommended |

| GGUF | i1-Q4_1 | 13.4 | |

| GGUF | i1-Q5_K_S | 14.6 | |

| GGUF | i1-Q5_K_M | 15.0 | |

| GGUF | i1-Q6_K | 17.2 | 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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