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mradermacher/OYM-Qimi-122B-A10B-K2.6-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…

transformersggufqwenqwen3qwen3.5moeabliterateduncensoreddecensoredsftkimikimi-k2distillmultimodalvisionmtpspeculative-decodingenbase_model:OpenYourMind/OYM-Qimi-122B-A10B-K2.6base_model:quantized:OpenYourMind/OYM-Qimi-122B-A10B-K2.6license:otherendpoints_compatibleregion:usimatrix

Runs locally from ~342.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
OYM-Qimi-122B-A10B-K2.6.i1-IQ3_M.ggufGGUFIQ3_M51.11 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-IQ3_S.ggufGGUFIQ3_S50.47 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-IQ4_XS.ggufGGUFIQ4_XS62.21 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q2_K.ggufGGUFQ2_K42.67 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q3_K_L.ggufGGUFQ3_K_L60.22 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q3_K_M.ggufGGUFQ3_K_M55.70 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q3_K_S.ggufGGUFQ3_K_S50.30 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q4_0.ggufGGUFQ4_065.90 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q4_1.ggufGGUFQ4_172.82 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q4_K_M.ggufGGUFQ4_K_M70.64 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q4_K_S.ggufGGUFQ4_K_S66.19 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q5_K_M.ggufGGUFQ5_K_M82.62 GBDownload
OYM-Qimi-122B-A10B-K2.6.i1-Q5_K_S.ggufGGUFQ5_K_S80.03 GBDownload
OYM-Qimi-122B-A10B-K2.6.imatrix.ggufGGUFGGUF342.3 MBDownload

Model Details

Model IDmradermacher/OYM-Qimi-122B-A10B-K2.6-i1-GGUF
Authormradermacher
Pipeline
Licenseother
Base modelOpenYourMind/OYM-Qimi-122B-A10B-K2.6
Last modified2026-07-03T18:49:55.000Z

Model README

---

base_model: OpenYourMind/OYM-Qimi-122B-A10B-K2.6

language:

  • en

library_name: transformers

license: other

license_name: qwen

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • qwen
  • qwen3
  • qwen3.5
  • moe
  • abliterated
  • uncensored
  • decensored
  • sft
  • kimi
  • kimi-k2
  • distill
  • multimodal
  • vision
  • mtp
  • speculative-decoding

---

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/OpenYourMind/OYM-Qimi-122B-A10B-K2.6

<!-- 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/OYM-Qimi-122B-A10B-K2.6-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 | 0.5 | imatrix file (for creating your own quants) |

| GGUF | i1-Q2_K | 45.9 | IQ3_XXS probably better |

| GGUF | i1-Q3_K_S | 54.1 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 54.3 | beats Q3_K* |

| GGUF | i1-IQ3_M | 55.0 | |

| GGUF | i1-Q3_K_M | 59.9 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 64.8 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 66.9 | |

| GGUF | i1-Q4_0 | 70.9 | fast, low quality |

| GGUF | i1-Q4_K_S | 71.2 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 75.9 | fast, recommended |

| GGUF | i1-Q4_1 | 78.3 | |

| GGUF | i1-Q5_K_S | 86.0 | |

| GGUF | i1-Q5_K_M | 88.8 | |

| PART 1 PART 2 PART 3 | i1-Q6_K | 102.5 | 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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