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Apertus 8B MeditronFO GGUF

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

Sourcehuggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/tree/8a227f00a1c2e0471f7f4237dac01b9107eecc51
TypeOtherModèle de baseEPFLiGHT/Apertus-8B-MeditronFOVersionRevision 8a227f0Éditeur@mradermacherCClasse

Source du modèle

Type
Other
Taille du fichier
3,06–15,0 GB
Modèle de base
EPFLiGHT/Apertus-8B-MeditronFO
Version
vRevision 8a227f0
Mis à jour
9 oct. 2026
Éditeur
@mradermacher
Téléchargements
439
Paramètres
8B
Source
Hugging Face

Description de la source

About

static quants of https://huggingface.co/EPFLiGHT/Apertus-8B-MeditronFO

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-i1-GGUF

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
GGUFQ2_K3.4
GGUFQ3_K_S3.8
GGUFQ3_K_M4.3lower quality
GGUFIQ4_XS4.6
GGUFQ3_K_L4.7
GGUFQ4_K_S4.8fast, recommended
GGUFQ4_K_M5.2fast, recommended
GGUFQ5_K_S5.7
GGUFQ5_K_M5.9
GGUFQ6_K6.7very good quality
GGUFQ8_08.7fast, best quality
GGUFf1616.216 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.

Sources

1 source
Hugging FacePrincipalVersion 8a227f00a1c2e0471f7f4237dac01b9107eecc51
huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/tree/8a227f00a1c2e0471f7f4237dac01b9107eecc51

Vérifié 14 sept.

Artefacts du modèle

12 artefacts

Apertus-8B-MeditronFO.f16.gguf

gguf · 15,0 GB · SHA-256 60ef49849ad3…a645 · Hugging Face

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Apertus-8B-MeditronFO.IQ4_XS.gguf

gguf · 4,21 GB · SHA-256 0aae45542f74…70e0 · Hugging Face

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Apertus-8B-MeditronFO.Q2_K.gguf

gguf · 3,06 GB · SHA-256 4f6198224672…0487 · Hugging Face

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Apertus-8B-MeditronFO.Q3_K_L.gguf

gguf · 4,26 GB · SHA-256 41eead58813f…92e9 · Hugging Face

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Apertus-8B-MeditronFO.Q3_K_M.gguf

gguf · 3,88 GB · SHA-256 a184947c61b7…f54d · Hugging Face

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Apertus-8B-MeditronFO.Q3_K_S.gguf

gguf · 3,43 GB · SHA-256 d235749b4166…bb8d · Hugging Face

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Apertus-8B-MeditronFO.Q4_K_M.gguf

gguf · 4,71 GB · SHA-256 97b145fd6a5d…95ef · Hugging Face

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Apertus-8B-MeditronFO.Q4_K_S.gguf

gguf · 4,40 GB · SHA-256 16dcd28b55d1…f568 · Hugging Face

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Apertus-8B-MeditronFO.Q5_K_M.gguf

gguf · 5,41 GB · SHA-256 21dc588e342f…92c4 · Hugging Face

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Apertus-8B-MeditronFO.Q5_K_S.gguf

gguf · 5,23 GB · SHA-256 013804bca778…4fe9 · Hugging Face

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Apertus-8B-MeditronFO.Q6_K.gguf

gguf · 6,16 GB · SHA-256 cd4f6677e422…a229 · Hugging Face

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Apertus-8B-MeditronFO.Q8_0.gguf

gguf · 7,98 GB · SHA-256 52625a97f75c…84a1 · Hugging Face

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Extraits de sources

3 extraits
Readme11 juil.huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF

--- base_model: EPFLiGHT/Apertus-8B-MeditronFO datasets: - EPFLiGHT/fully-open-meditron language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - medical - clinical - healthcare - meditron - fully-open - medical-llm --- ## 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/EPFLiGHT/Apertus-8B-MeditronFO <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Apertus-8B-MeditronFO-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-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](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q3_K_S.gguf) | Q3_K_S | 3.8 | | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q3_K_M.gguf) | Q3_K_M | 4.3 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.IQ4_XS.gguf) | IQ4_XS | 4.6 | | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q3_K_L.gguf) | Q3_K_L | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF/resolve/main/Apertus-8B-MeditronFO.Q4_K_M.gguf) | Q4_K_M | 5.2 | fast, recommended | | [GGUF](https://hugg...

Note14 sept.huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF

Source context: 439 downloads · 1 likes · Library transformers · Repo mradermacher/Apertus-8B-MeditronFO-GGUF

Note17 juil.huggingface.co/mradermacher/Apertus-8B-MeditronFO-GGUF

Source context: 767 downloads · 1 likes · Library transformers · Repo mradermacher/Apertus-8B-MeditronFO-GGUF