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

mradermacher/Clemma-E4B-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…

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:usimatrixconversational

Runs locally from ~4.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
2,976
Likes
2
Pipeline

Repository Files & Downloads

16 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Clemma-E4B.i1-IQ3_M.ggufGGUFIQ3_M4.39 GBDownload
Clemma-E4B.i1-IQ3_S.ggufGGUFIQ3_S4.34 GBDownload
Clemma-E4B.i1-IQ4_NL.ggufGGUFIQ4_NL4.84 GBDownload
Clemma-E4B.i1-IQ4_XS.ggufGGUFIQ4_XS4.72 GBDownload
Clemma-E4B.i1-Q2_K.ggufGGUFQ2_K4.10 GBDownload
Clemma-E4B.i1-Q3_K_L.ggufGGUFQ3_K_L4.68 GBDownload
Clemma-E4B.i1-Q3_K_M.ggufGGUFQ3_K_M4.52 GBDownload
Clemma-E4B.i1-Q3_K_S.ggufGGUFQ3_K_S4.33 GBDownload
Clemma-E4B.i1-Q4_0.ggufGGUFQ4_04.84 GBDownload
Clemma-E4B.i1-Q4_1.ggufGGUFQ4_15.06 GBDownload
Clemma-E4B.i1-Q4_K_M.ggufGGUFQ4_K_M4.97 GBDownload
Clemma-E4B.i1-Q4_K_S.ggufGGUFQ4_K_S4.85 GBDownload
Clemma-E4B.i1-Q5_K_M.ggufGGUFQ5_K_M5.37 GBDownload
Clemma-E4B.i1-Q5_K_S.ggufGGUFQ5_K_S5.30 GBDownload
Clemma-E4B.i1-Q6_K.ggufGGUFQ6_K5.79 GBDownload
Clemma-E4B.imatrix.ggufGGUFGGUF4.2 MBDownload

Model Details

Model IDmradermacher/Clemma-E4B-i1-GGUF
Authormradermacher
Pipeline
Licensegemma
Base modelayan4m1/Clemma-E4B
Last modified2026-06-19T10:30:29.000Z

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: 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/ayan4m1/Clemma-E4B

<!-- 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/Clemma-E4B-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-Q2_K | 4.5 | IQ3_XXS probably better |

| GGUF | i1-Q3_K_S | 4.8 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 4.8 | beats Q3_K* |

| GGUF | i1-IQ3_M | 4.8 | |

| GGUF | i1-Q3_K_M | 5.0 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 5.1 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 5.2 | |

| GGUF | i1-IQ4_NL | 5.3 | prefer IQ4_XS |

| GGUF | i1-Q4_0 | 5.3 | fast, low quality |

| GGUF | i1-Q4_K_S | 5.3 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 5.4 | fast, recommended |

| GGUF | i1-Q4_1 | 5.5 | |

| GGUF | i1-Q5_K_S | 5.8 | |

| GGUF | i1-Q5_K_M | 5.9 | |

| GGUF | i1-Q6_K | 6.3 | 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 -->

Run mradermacher/Clemma-E4B-i1-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