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OLMo 2 32B MeditronFO GGUF

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

Fontehuggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/tree/13809bdf37f1a808f4d38ed9e1020471e18fdc63
TipoText modelModelo baseEPFLiGHT/OLMo-2-32B-MeditronFOVersãoRevision 13809bdPublicador@mradermacherCnota

Fonte do modelo

Tipo
Text model
Tamanho do arquivo
11,2–31,9 GB
Modelo base
EPFLiGHT/OLMo-2-32B-MeditronFO
Versão
vRevision 13809bd
Atualizado
3 de out. de 2026
Publicador
@mradermacher
Downloads
244
Parâmetros
32B
Fonte
Hugging Face

Descrição da fonte

About

static quants of https://huggingface.co/EPFLiGHT/OLMo-2-32B-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/OLMo-2-32B-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_K12.1
GGUFQ3_K_S14.2
GGUFQ3_K_M15.7lower quality
GGUFQ3_K_L17.0
GGUFIQ4_XS17.6
GGUFQ4_K_S18.5fast, recommended
GGUFQ4_K_M19.6fast, recommended
GGUFQ5_K_S22.3
GGUFQ5_K_M23.0
GGUFQ6_K26.5very good quality
GGUFQ8_034.4fast, 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.

Fontes

1 fonte
Hugging FacePrimárioVersão 13809bdf37f1a808f4d38ed9e1020471e18fdc63
huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/tree/13809bdf37f1a808f4d38ed9e1020471e18fdc63

Verificado 3 de out.

Artefatos de modelo

11 artefatos

OLMo-2-32B-MeditronFO.IQ4_XS.gguf

gguf · 16,3 GB · SHA-256 fe19d2681f6d…3ac8 · Hugging Face

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OLMo-2-32B-MeditronFO.Q2_K.gguf

gguf · 11,2 GB · SHA-256 8889ba0e4ee5…0afa · Hugging Face

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OLMo-2-32B-MeditronFO.Q3_K_L.gguf

gguf · 15,8 GB · SHA-256 ce69fe9f1a79…81b4 · Hugging Face

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OLMo-2-32B-MeditronFO.Q3_K_M.gguf

gguf · 14,5 GB · SHA-256 3067aa64561f…68d4 · Hugging Face

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OLMo-2-32B-MeditronFO.Q3_K_S.gguf

gguf · 13,1 GB · SHA-256 2bcf0bdc7631…da6c · Hugging Face

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OLMo-2-32B-MeditronFO.Q4_K_M.gguf

gguf · 18,1 GB · SHA-256 b422a2c182cb…4ac6 · Hugging Face

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OLMo-2-32B-MeditronFO.Q4_K_S.gguf

gguf · 17,2 GB · SHA-256 154705b4bee8…c406 · Hugging Face

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OLMo-2-32B-MeditronFO.Q5_K_M.gguf

gguf · 21,3 GB · SHA-256 acfcf11e32a1…6116 · Hugging Face

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OLMo-2-32B-MeditronFO.Q5_K_S.gguf

gguf · 20,7 GB · SHA-256 37c160cad040…3954 · Hugging Face

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OLMo-2-32B-MeditronFO.Q6_K.gguf

gguf · 24,6 GB · SHA-256 865bb6556274…84a2 · Hugging Face

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OLMo-2-32B-MeditronFO.Q8_0.gguf

gguf · 31,9 GB · SHA-256 b84caa5f71a3…5366 · Hugging Face

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Trechos de fonte

3 trechos
Readme11 de jul.huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF

--- base_model: EPFLiGHT/OLMo-2-32B-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/OLMo-2-32B-MeditronFO <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#OLMo-2-32B-MeditronFO-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/OLMo-2-32B-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/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q2_K.gguf) | Q2_K | 12.1 | | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q3_K_S.gguf) | Q3_K_S | 14.2 | | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q3_K_M.gguf) | Q3_K_M | 15.7 | lower quality | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q3_K_L.gguf) | Q3_K_L | 17.0 | | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.IQ4_XS.gguf) | IQ4_XS | 17.6 | | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q4_K_S.gguf) | Q4_K_S | 18.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF/resolve/main/OLMo-2-32B-MeditronFO.Q4_K_M.gguf) | Q4_K_M | 19.6 | fast, recommended | | [GGUF](https...

Note3 de out.huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF

Source context: 244 downloads · 0 likes · Library transformers · Repo mradermacher/OLMo-2-32B-MeditronFO-GGUF

Note17 de jul.huggingface.co/mradermacher/OLMo-2-32B-MeditronFO-GGUF

Source context: 478 downloads · 0 likes · Library transformers · Repo mradermacher/OLMo-2-32B-MeditronFO-GGUF