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mradermacher/Aura-Gaiden-Medium-v1.1-BF16-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…

transformersggufendataset:UncannyEcho/AuraAblation100dataset:UncannyEcho/AuraPersonalitybase_model:UncannyEcho/Aura-Gaiden-Medium-v1.1-BF16base_model:quantized:UncannyEcho/Aura-Gaiden-Medium-v1.1-BF16license:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~769.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

13 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Aura-Gaiden-Medium-v1.1-BF16.IQ4_XS.ggufGGUFBF1613.10 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q2_K.ggufGGUFBF169.86 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q3_K_L.ggufGGUFBF1612.88 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q3_K_M.ggufGGUFBF1612.37 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q3_K_S.ggufGGUFBF1611.38 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q4_K_M.ggufGGUFBF1615.64 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q4_K_S.ggufGGUFBF1614.40 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q5_K_M.ggufGGUFBF1617.82 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q5_K_S.ggufGGUFBF1616.75 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q6_K.ggufGGUFBF1621.08 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.Q8_0.ggufGGUFBF1625.02 GBDownload
Aura-Gaiden-Medium-v1.1-BF16.mmproj-Q8_0.ggufGGUFBF16769.1 MBDownload
Aura-Gaiden-Medium-v1.1-BF16.mmproj-f16.ggufGGUFBF161.11 GBDownload

Model Details

Model IDmradermacher/Aura-Gaiden-Medium-v1.1-BF16-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelUncannyEcho/Aura-Gaiden-Medium-v1.1-BF16
Last modified2026-08-03T06:09:32.000Z

Model README

---

base_model: UncannyEcho/Aura-Gaiden-Medium-v1.1-BF16

datasets:

  • UncannyEcho/AuraAblation100
  • UncannyEcho/AuraPersonality

language: en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

---

About

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

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

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

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

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

<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->

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

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

static quants of https://huggingface.co/UncannyEcho/Aura-Gaiden-Medium-v1.1-BF16

<!-- 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/Aura-Gaiden-Medium-v1.1-BF16-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 | mmproj-Q8_0 | 0.9 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.3 | multi-modal supplement |

| GGUF | Q2_K | 10.7 | |

| GGUF | Q3_K_S | 12.3 | |

| GGUF | Q3_K_M | 13.4 | lower quality |

| GGUF | Q3_K_L | 13.9 | |

| GGUF | IQ4_XS | 14.2 | |

| GGUF | Q4_K_S | 15.6 | fast, recommended |

| GGUF | Q4_K_M | 16.9 | fast, recommended |

| GGUF | Q5_K_S | 18.1 | |

| GGUF | Q5_K_M | 19.2 | |

| GGUF | Q6_K | 22.7 | very good quality |

| GGUF | Q8_0 | 27.0 | 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.

<!-- end -->

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