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LOGOS 8B GGUF

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

Fuentehuggingface.co/mradermacher/LOGOS-8B-GGUF/tree/a9a180af946b92ccdc5b829284ae7973a6689a77
TipoText modelModelo baseLOGOS-Hub/LOGOS-8BVersiónRevision a9a180aPublicador@mradermacherCcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
3,06–15,3 GB
Modelo base
LOGOS-Hub/LOGOS-8B
Versión
vRevision a9a180a
Actualizado
3 oct 2026
Publicador
@mradermacher
Descargas
254
Parámetros
8B
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/LOGOS-Hub/LOGOS-8B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/LOGOS-8B-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_S3.9
GGUFQ3_K_M4.2lower quality
GGUFQ3_K_L4.5
GGUFIQ4_XS4.7
GGUFQ4_K_S4.9fast, recommended
GGUFQ4_K_M5.1fast, recommended
GGUFQ5_K_S5.8
GGUFQ5_K_M6.0
GGUFQ6_K6.8very good quality
GGUFQ8_08.8fast, best quality
GGUFf1616.516 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión a9a180af946b92ccdc5b829284ae7973a6689a77
huggingface.co/mradermacher/LOGOS-8B-GGUF/tree/a9a180af946b92ccdc5b829284ae7973a6689a77

Verificado 3 oct

Artefactos del modelo

12 artefactos

LOGOS-8B.f16.gguf

gguf · 15,3 GB · SHA-256 52e33e89b668…b765 · Hugging Face

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LOGOS-8B.IQ4_XS.gguf

gguf · 4,28 GB · SHA-256 57c8213a424e…cc17 · Hugging Face

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LOGOS-8B.Q2_K.gguf

gguf · 3,06 GB · SHA-256 0a002a5739b8…40f9 · Hugging Face

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LOGOS-8B.Q3_K_L.gguf

gguf · 4,13 GB · SHA-256 23aa5f8900d5…1edc · Hugging Face

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LOGOS-8B.Q3_K_M.gguf

gguf · 3,84 GB · SHA-256 34a898305318…646a · Hugging Face

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LOGOS-8B.Q3_K_S.gguf

gguf · 3,51 GB · SHA-256 847fc7a16376…13c6 · Hugging Face

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LOGOS-8B.Q4_K_M.gguf

gguf · 4,68 GB · SHA-256 7de7ab35cfb4…f8d3 · Hugging Face

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LOGOS-8B.Q4_K_S.gguf

gguf · 4,47 GB · SHA-256 65dbbb57814c…26de · Hugging Face

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LOGOS-8B.Q5_K_M.gguf

gguf · 5,45 GB · SHA-256 0c820acc5fab…c259 · Hugging Face

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LOGOS-8B.Q5_K_S.gguf

gguf · 5,33 GB · SHA-256 89d001c3b078…d40a · Hugging Face

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LOGOS-8B.Q6_K.gguf

gguf · 6,26 GB · SHA-256 984548cc7252…64d3 · Hugging Face

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LOGOS-8B.Q8_0.gguf

gguf · 8,11 GB · SHA-256 629decef54b2…e615 · Hugging Face

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Extractos de fuentes

3 extractos
Readme11 julhuggingface.co/mradermacher/LOGOS-8B-GGUF

--- base_model: LOGOS-Hub/LOGOS-8B language: - en library_name: transformers license: cc-by-4.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - scientific-language-model - protein - molecule - drug-discovery - materials-science - retrosynthesis - antibody - autoregressive - generative - one-model-fits-all --- ## 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/LOGOS-Hub/LOGOS-8B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LOGOS-8B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/LOGOS-8B-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/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q3_K_S.gguf) | Q3_K_S | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q3_K_L.gguf) | Q3_K_L | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.IQ4_XS.gguf) | IQ4_XS | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q5_K_S.gguf) | Q5_K_S | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/LOGOS-8B-GGUF/resolve/main/LOGOS-8B.Q5_K_M.g...

Note3 octhuggingface.co/mradermacher/LOGOS-8B-GGUF

Source context: 254 downloads · 0 likes · Library transformers · Repo mradermacher/LOGOS-8B-GGUF

Note17 julhuggingface.co/mradermacher/LOGOS-8B-GGUF

Source context: 221 downloads · 0 likes · Library transformers · Repo mradermacher/LOGOS-8B-GGUF