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Maestro1 9B GGUF

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

ArtOtherBasismodellvectionlabs/Maestro1-9BVersionRevision 3a2aaa1Verleger@mradermacherCBewertung

Modellquelle

Art
Other
Dateigröße
717 MB–15,3 GB
Basismodell
vectionlabs/Maestro1-9B
Version
vRevision 3a2aaa1
Aktualisiert
3. Okt. 2026
Downloads
588
Parameter
9B
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/vectionlabs/Maestro1-9B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Maestro1-9B-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
GGUFmmproj-Q8_00.9multi-modal supplement
GGUFmmproj-f161.3multi-modal supplement
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.

Quellen

1 Quelle
Hugging FacePrimärVersion 3a2aaa1a5a007349bdba7145dec74a1c16e7790a
huggingface.co/mradermacher/Maestro1-9B-GGUF/tree/3a2aaa1a5a007349bdba7145dec74a1c16e7790a

Verifiziert 3. Okt.

Modellartefakte

14 Artefakte

Maestro1-9B.f16.gguf

gguf · 15,3 GB · SHA-256 c27f1a59019d…1caf · Hugging Face

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Maestro1-9B.IQ4_XS.gguf

gguf · 4,28 GB · SHA-256 999acab04cf1…6be5 · Hugging Face

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Maestro1-9B.mmproj-f16.gguf

gguf · 1,08 GB · SHA-256 9a132a48d872…74e1 · Hugging Face

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Maestro1-9B.mmproj-Q8_0.gguf

gguf · 717 MB · SHA-256 eefa5c244497…4988 · Hugging Face

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Maestro1-9B.Q2_K.gguf

gguf · 3,06 GB · SHA-256 214e5b86242a…7241 · Hugging Face

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Maestro1-9B.Q3_K_L.gguf

gguf · 4,13 GB · SHA-256 fab91f13cc5e…bc98 · Hugging Face

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Maestro1-9B.Q3_K_M.gguf

gguf · 3,84 GB · SHA-256 f397e311c23e…e8b3 · Hugging Face

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Maestro1-9B.Q3_K_S.gguf

gguf · 3,51 GB · SHA-256 bc27e2c771c4…7d8c · Hugging Face

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Maestro1-9B.Q4_K_M.gguf

gguf · 4,68 GB · SHA-256 b6be68dab34d…b8ce · Hugging Face

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Maestro1-9B.Q4_K_S.gguf

gguf · 4,47 GB · SHA-256 2ca98dc7363d…9471 · Hugging Face

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Maestro1-9B.Q5_K_M.gguf

gguf · 5,45 GB · SHA-256 c076f791269d…3ad0 · Hugging Face

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Maestro1-9B.Q5_K_S.gguf

gguf · 5,33 GB · SHA-256 4a0b3d844c3f…c288 · Hugging Face

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Maestro1-9B.Q6_K.gguf

gguf · 6,26 GB · SHA-256 430dfa444bf4…b0e9 · Hugging Face

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Maestro1-9B.Q8_0.gguf

gguf · 8,11 GB · SHA-256 639493f7e2b4…aa8d · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: vectionlabs/Maestro1-9B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - multimodal - vision-language - reasoning - thinking - math - code - long-context --- ## 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/vectionlabs/Maestro1-9B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Maestro1-9B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Maestro1-9B-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/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.Q3_K_S.gguf) | Q3_K_S | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.Q3_K_L.gguf) | Q3_K_L | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.IQ4_XS.gguf) | IQ4_XS | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGUF/resolve/main/Maestro1-9B.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Maestro1-9B-GGU...

Source context: 588 downloads · 5 likes · Library transformers · Repo mradermacher/Maestro1-9B-GGUF

Source context: 179 downloads · 5 likes · Library transformers · Repo mradermacher/Maestro1-9B-GGUF