GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

mradermacher/Clemma-E4B-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:TeichAI/claude-4.5-opus-high-reasoning-250xdataset:TeichAI/Claude-Opus-4.6-Reasoning-887xdataset:Crownelius/Opus-4.6-Reasoning-2100x-formatteddataset:Crownelius/Opus-4.6-Reasoning-3300xbase_model:ayan4m1/Clemma-E4Bbase_model:quantized:ayan4m1/Clemma-E4Blicense:gemmaendpoints_compatibleregion:usconversational

Runs locally from ~533.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
1,215
Likes
0
Pipeline

Repository Files & Downloads

14 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Clemma-E4B.IQ4_XS.ggufGGUFGGUF4.74 GBDownload
Clemma-E4B.Q2_K.ggufGGUFGGUF4.10 GBDownload
Clemma-E4B.Q3_K_L.ggufGGUFGGUF4.68 GBDownload
Clemma-E4B.Q3_K_M.ggufGGUFGGUF4.52 GBDownload
Clemma-E4B.Q3_K_S.ggufGGUFGGUF4.33 GBDownload
Clemma-E4B.Q4_K_M.ggufGGUFGGUF4.97 GBDownload
Clemma-E4B.Q4_K_S.ggufGGUFGGUF4.85 GBDownload
Clemma-E4B.Q5_K_M.ggufGGUFGGUF5.37 GBDownload
Clemma-E4B.Q5_K_S.ggufGGUFGGUF5.30 GBDownload
Clemma-E4B.Q6_K.ggufGGUFGGUF5.79 GBDownload
Clemma-E4B.Q8_0.ggufGGUFGGUF7.48 GBDownload
Clemma-E4B.f16.ggufGGUFGGUF14.02 GBDownload
Clemma-E4B.mmproj-Q8_0.ggufGGUFQ8_0533.9 MBDownload
Clemma-E4B.mmproj-f16.ggufGGUFF16944.5 MBDownload

Model Details

Model IDmradermacher/Clemma-E4B-GGUF
Authormradermacher
Pipeline
Licensegemma
Base modelayan4m1/Clemma-E4B
Last modified2026-06-19T10:27:51.000Z

Model README

---

base_model: ayan4m1/Clemma-E4B

datasets:

  • TeichAI/claude-4.5-opus-high-reasoning-250x
  • TeichAI/Claude-Opus-4.6-Reasoning-887x
  • Crownelius/Opus-4.6-Reasoning-2100x-formatted
  • Crownelius/Opus-4.6-Reasoning-3300x

language:

  • en

library_name: transformers

license: gemma

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/ayan4m1/Clemma-E4B

<!-- 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/Clemma-E4B-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 | 1.1 | multi-modal supplement |

| GGUF | Q2_K | 4.5 | |

| GGUF | Q3_K_S | 4.8 | |

| GGUF | Q3_K_M | 5.0 | lower quality |

| GGUF | Q3_K_L | 5.1 | |

| GGUF | IQ4_XS | 5.2 | |

| GGUF | Q4_K_S | 5.3 | fast, recommended |

| GGUF | Q4_K_M | 5.4 | fast, recommended |

| GGUF | Q5_K_S | 5.8 | |

| GGUF | Q5_K_M | 5.9 | |

| GGUF | Q6_K | 6.3 | very good quality |

| GGUF | Q8_0 | 8.1 | fast, best quality |

| GGUF | f16 | 15.2 | 16 bpw, overkill |

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 -->

Run mradermacher/Clemma-E4B-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models