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OpenMedResearch Gemma E4N GGUF

For a convenient overview and download list, visit our model page for this model.

Quellehuggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/tree/bfbe2fddce69be56800596c99e0b3ae16a74733a
ArtOtherBasismodellEpistemeAI/OpenMedResearch-Gemma-4E4NVersionRevision bfbe2fdVerleger@mradermacherCBewertung

Modellquelle

Art
Other
Dateigröße
534 MB–14,0 GB
Basismodell
EpistemeAI/OpenMedResearch-Gemma-4E4N
Version
vRevision bfbe2fd
Aktualisiert
3. Okt. 2026
Verleger
@mradermacher
Downloads
532
Aufgaben
Textgenerierung
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/EpistemeAI/OpenMedResearch-Gemma-4E4N

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.7multi-modal supplement
GGUFmmproj-f161.1multi-modal supplement
GGUFQ2_K4.5
GGUFQ3_K_S4.8
GGUFQ3_K_M5.0lower quality
GGUFQ3_K_L5.1
GGUFIQ4_XS5.2
GGUFQ4_K_S5.3fast, recommended
GGUFQ4_K_M5.4fast, recommended
GGUFQ5_K_S5.8
GGUFQ5_K_M5.9
GGUFQ6_K6.3very good quality
GGUFQ8_08.1fast, best quality
GGUFf1615.216 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.

Quellen

1 Quelle
Hugging FacePrimärVersion bfbe2fddce69be56800596c99e0b3ae16a74733a
huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/tree/bfbe2fddce69be56800596c99e0b3ae16a74733a

Verifiziert 3. Okt.

Modellartefakte

14 Artefakte

OpenMedResearch-Gemma-E4N.f16.gguf

gguf · 14,0 GB · SHA-256 303b9679b125…ab13 · Hugging Face

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OpenMedResearch-Gemma-E4N.IQ4_XS.gguf

gguf · 4,74 GB · SHA-256 a2518b10b476…74b6 · Hugging Face

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OpenMedResearch-Gemma-E4N.mmproj-f16.gguf

gguf · 944 MB · SHA-256 2e6d56e5e9b9…76b2 · Hugging Face

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OpenMedResearch-Gemma-E4N.mmproj-Q8_0.gguf

gguf · 534 MB · SHA-256 e47cef26cb04…b74d · Hugging Face

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OpenMedResearch-Gemma-E4N.Q2_K.gguf

gguf · 4,10 GB · SHA-256 73a0b3c9cc25…da27 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q3_K_L.gguf

gguf · 4,68 GB · SHA-256 8cceb7923ae4…3a26 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q3_K_M.gguf

gguf · 4,52 GB · SHA-256 c03db6f4b155…802e · Hugging Face

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OpenMedResearch-Gemma-E4N.Q3_K_S.gguf

gguf · 4,33 GB · SHA-256 ece537e12890…0109 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q4_K_M.gguf

gguf · 4,97 GB · SHA-256 505ad501ba13…1de8 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q4_K_S.gguf

gguf · 4,85 GB · SHA-256 1d537f74b1d5…17fe · Hugging Face

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OpenMedResearch-Gemma-E4N.Q5_K_M.gguf

gguf · 5,37 GB · SHA-256 eca578b42be4…5242 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q5_K_S.gguf

gguf · 5,30 GB · SHA-256 6a6c4623fd6a…2276 · Hugging Face

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OpenMedResearch-Gemma-E4N.Q6_K.gguf

gguf · 5,79 GB · SHA-256 b92d2d2d7c72…97de · Hugging Face

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OpenMedResearch-Gemma-E4N.Q8_0.gguf

gguf · 7,48 GB · SHA-256 3bacbcd4bd97…f0f2 · Hugging Face

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Quellenauszüge

3 Auszüge
Readme11. Julihuggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF

--- base_model: EpistemeAI/OpenMedResearch-Gemma-4E4N datasets: - jmhb/PaperSearchQA language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - transformers - unsloth - gemma4 --- ## 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/EpistemeAI/OpenMedResearch-Gemma-4E4N <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#OpenMedResearch-Gemma-E4N-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-E4N.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-E4N.mmproj-f16.gguf) | mmproj-f16 | 1.1 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-E4N.Q2_K.gguf) | Q2_K | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-E4N.Q3_K_S.gguf) | Q3_K_S | 4.8 | | | [GGUF](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-E4N.Q3_K_M.gguf) | Q3_K_M | 5.0 | lower quality | | [GGUF](https://huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF/resolve/main/OpenMedResearch-Gemma-...

Note3. Okt.huggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF

Source context: 532 downloads · 1 likes · Library transformers · Repo mradermacher/OpenMedResearch-Gemma-E4N-GGUF

Note17. Julihuggingface.co/mradermacher/OpenMedResearch-Gemma-E4N-GGUF

Source context: 158 downloads · 1 likes · Library transformers · Repo mradermacher/OpenMedResearch-Gemma-E4N-GGUF