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mradermacher/EVE-27b-XENO-HAT-DeepSeek-V4-Flash-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…

transformersggufmergegptgpt_oss262kdeepseekzhruenbase_model:win10/EVE-27b-XENO-HAT-DeepSeek-V4-Flashbase_model:quantized:win10/EVE-27b-XENO-HAT-DeepSeek-V4-Flashlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~600.1 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
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.IQ4_XS.ggufGGUFGGUF14.36 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q2_K.ggufGGUFGGUF10.12 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q3_K_L.ggufGGUFGGUF13.56 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q3_K_M.ggufGGUFGGUF12.57 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q3_K_S.ggufGGUFGGUF11.41 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q4_K_M.ggufGGUFGGUF15.66 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q4_K_S.ggufGGUFGGUF14.74 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q5_K_M.ggufGGUFGGUF18.19 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q5_K_S.ggufGGUFGGUF17.67 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q6_K.ggufGGUFGGUF20.89 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.Q8_0.ggufGGUFGGUF27.05 GBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.mmproj-Q8_0.ggufGGUFQ8_0600.1 MBDownload
EVE-27b-XENO-HAT-DeepSeek-V4-Flash.mmproj-f16.ggufGGUFF16884.6 MBDownload

Model Details

Model IDmradermacher/EVE-27b-XENO-HAT-DeepSeek-V4-Flash-GGUF
Authormradermacher
Pipeline
Licenseapache-2.0
Base modelwin10/EVE-27b-XENO-HAT-DeepSeek-V4-Flash
Last modified2026-07-17T12:36:28.000Z

Model README

---

base_model: win10/EVE-27b-XENO-HAT-DeepSeek-V4-Flash

language:

  • zh
  • ru
  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • merge
  • gpt
  • gpt_oss
  • 262k
  • deepseek

---

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/win10/EVE-27b-XENO-HAT-DeepSeek-V4-Flash

<!-- 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/EVE-27b-XENO-HAT-DeepSeek-V4-Flash-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 | 0.7 | multi-modal supplement |

| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |

| GGUF | Q2_K | 11.0 | |

| GGUF | Q3_K_S | 12.4 | |

| GGUF | Q3_K_M | 13.6 | lower quality |

| GGUF | Q3_K_L | 14.7 | |

| GGUF | IQ4_XS | 15.5 | |

| GGUF | Q4_K_S | 15.9 | fast, recommended |

| GGUF | Q4_K_M | 16.9 | fast, recommended |

| GGUF | Q5_K_S | 19.1 | |

| GGUF | Q5_K_M | 19.6 | |

| GGUF | Q6_K | 22.5 | very good quality |

| GGUF | Q8_0 | 29.1 | 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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