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mradermacher/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16-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…

transformersggufnoesisnoesis-repackbf16mtpqwen3.5qwen3.6qwen3.8enruzhvikkjaafamarasastazbebgbn

Runs locally from ~13.0 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
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ1_M.ggufGGUFBF167.11 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ1_S.ggufGGUFBF166.66 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ2_M.ggufGGUFBF169.32 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ2_S.ggufGGUFBF168.72 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ2_XS.ggufGGUFBF168.47 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ2_XXS.ggufGGUFBF167.85 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ3_M.ggufGGUFBF1611.72 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ3_S.ggufGGUFBF1611.57 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ3_XS.ggufGGUFBF1611.15 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ3_XXS.ggufGGUFBF1610.42 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-IQ4_XS.ggufGGUFBF1614.05 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q2_K.ggufGGUFBF169.98 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q2_K_S.ggufGGUFBF169.54 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q3_K_L.ggufGGUFBF1613.36 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q3_K_M.ggufGGUFBF1612.39 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q3_K_S.ggufGGUFBF1611.24 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q4_0.ggufGGUFBF1614.46 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q4_1.ggufGGUFBF1615.91 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q4_K_M.ggufGGUFBF1615.41 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q4_K_S.ggufGGUFBF1614.52 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q5_K_M.ggufGGUFBF1617.91 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q5_K_S.ggufGGUFBF1617.40 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.i1-Q6_K.ggufGGUFBF1620.57 GBDownload
Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16.imatrix.ggufGGUFBF1613.0 MBDownload

Model Details

Model IDmradermacher/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16-i1-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelAMAImedia/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16
Last modified2026-09-05T16:55:35.000Z

Model README

---

base_model: AMAImedia/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16

language:

  • en
  • ru
  • zh
  • vi
  • kk
  • ja
  • af
  • am
  • ar
  • as
  • ast
  • az
  • be
  • bg
  • bn
  • bs
  • ca
  • ceb
  • ckb
  • cs
  • cy
  • da
  • de
  • el
  • es
  • et
  • eu
  • fa
  • ff
  • fi
  • fil
  • fr
  • ga
  • gl
  • gn
  • gu
  • ha
  • he
  • hi
  • hr
  • hu
  • hy
  • id
  • ig
  • is
  • it
  • jv
  • ka
  • kam
  • kea
  • km
  • kmr
  • kn
  • ko
  • ky
  • lb
  • lg
  • ln
  • lo
  • lt
  • luo
  • lv
  • mi
  • mk
  • ml
  • mn
  • mr
  • ms
  • mt
  • mvy
  • my
  • ne
  • nl
  • no
  • nso
  • ny
  • oc
  • om
  • or
  • pa
  • pl
  • ps
  • pt
  • qxp
  • ro
  • rw
  • sd
  • sk
  • skr
  • sl
  • sn
  • so
  • sr
  • sv
  • sw
  • ta
  • te
  • tg
  • th
  • ti
  • tk
  • tr
  • ug
  • uk
  • umb
  • ur
  • uz
  • wo
  • xh
  • yo
  • yue
  • zu

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • noesis
  • noesis-repack
  • bf16
  • mtp
  • qwen3.5
  • qwen3.6
  • qwen3.8

---

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/AMAImedia/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16

<!-- 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/Qwen3.8-27B-Cold-Fusion-GAIN-V1.1-heretic-NOESIS-BF16-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 | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 7.2 | for the desperate |

| GGUF | i1-IQ1_M | 7.7 | mostly desperate |

| GGUF | i1-IQ2_XXS | 8.5 | |

| GGUF | i1-IQ2_XS | 9.2 | |

| GGUF | i1-IQ2_S | 9.5 | |

| GGUF | i1-IQ2_M | 10.1 | |

| GGUF | i1-Q2_K_S | 10.3 | very low quality |

| GGUF | i1-Q2_K | 10.8 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 11.3 | lower quality |

| GGUF | i1-IQ3_XS | 12.1 | |

| GGUF | i1-Q3_K_S | 12.2 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 12.5 | beats Q3_K* |

| GGUF | i1-IQ3_M | 12.7 | |

| GGUF | i1-Q3_K_M | 13.4 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 14.4 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 15.2 | |

| GGUF | i1-Q4_0 | 15.6 | fast, low quality |

| GGUF | i1-Q4_K_S | 15.7 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 16.6 | fast, recommended |

| GGUF | i1-Q4_1 | 17.2 | |

| GGUF | i1-Q5_K_S | 18.8 | |

| GGUF | i1-Q5_K_M | 19.3 | |

| GGUF | i1-Q6_K | 22.2 | 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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