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Salience 1.5 Flash GGUF

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

TypeOtherModèle de basevectionlabs/Salience-1.5-FlashVersionRevision 9dcd420Éditeur@mradermacherCClasse

Source du modèle

Type
Other
Taille du fichier
679 MB–30,3 GB
Modèle de base
vectionlabs/Salience-1.5-Flash
Version
vRevision 9dcd420
Mis à jour
21 oct. 2026
Téléchargements
274
Source
Hugging Face

Description de la source

About

static quants of https://huggingface.co/vectionlabs/Salience-1.5-Flash

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Salience-1.5-Flash-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_00.8multi-modal supplement
GGUFmmproj-f161.2multi-modal supplement
GGUFQ2_K11.4
GGUFQ3_K_S13.4
GGUFQ3_K_M14.8lower quality
GGUFQ3_K_L16.0
GGUFIQ4_XS16.7
GGUFQ4_K_S17.6fast, recommended
GGUFQ4_K_M18.7fast, recommended
GGUFQ5_K_S21.2
GGUFQ5_K_M21.8
GGUFQ6_K25.2very good quality
GGUFQ8_032.6fast, 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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

Sources

1 source
Hugging FacePrincipalVersion 9dcd420e72aa18bc5585c8b4bdf350c07dd6a15c
huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/tree/9dcd420e72aa18bc5585c8b4bdf350c07dd6a15c

Vérifié 21 oct.

Artefacts du modèle

13 artefacts

Salience-1.5-Flash.IQ4_XS.gguf

gguf · 15,4 GB · SHA-256 c34dc8672af8…5895 · Hugging Face

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Salience-1.5-Flash.mmproj-f16.gguf

gguf · 1,01 GB · SHA-256 993fbfdd76c0…c67a · Hugging Face

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Salience-1.5-Flash.mmproj-Q8_0.gguf

gguf · 679 MB · SHA-256 c7cfcce93efb…6dac · Hugging Face

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Salience-1.5-Flash.Q2_K.gguf

gguf · 10,5 GB · SHA-256 7c0cd93982ee…c9f1 · Hugging Face

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Salience-1.5-Flash.Q3_K_L.gguf

gguf · 14,8 GB · SHA-256 0950e019c9df…d8b1 · Hugging Face

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Salience-1.5-Flash.Q3_K_M.gguf

gguf · 13,7 GB · SHA-256 d92448cd6246…6d45 · Hugging Face

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Salience-1.5-Flash.Q3_K_S.gguf

gguf · 12,4 GB · SHA-256 04ca95900db9…6aab · Hugging Face

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Salience-1.5-Flash.Q4_K_M.gguf

gguf · 17,3 GB · SHA-256 910e18907d3d…fb03 · Hugging Face

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Salience-1.5-Flash.Q4_K_S.gguf

gguf · 16,3 GB · SHA-256 3fa2a5d55e1b…4d50 · Hugging Face

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Salience-1.5-Flash.Q5_K_M.gguf

gguf · 20,2 GB · SHA-256 9f6a9051865a…374e · Hugging Face

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Salience-1.5-Flash.Q5_K_S.gguf

gguf · 19,6 GB · SHA-256 15c7c8aa476b…cf08 · Hugging Face

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Salience-1.5-Flash.Q6_K.gguf

gguf · 23,4 GB · SHA-256 6dc5a2ea5bec…f13e · Hugging Face

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Salience-1.5-Flash.Q8_0.gguf

gguf · 30,3 GB · SHA-256 5f43669724f3…19af · Hugging Face

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Extraits de sources

3 extraits

--- base_model: vectionlabs/Salience-1.5-Flash language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - multimodal - vision-language - moe - mixture-of-experts - reasoning - thinking - code - agentic - tool-use - long-context - qwen3 - qwen3-vl --- ## 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/Salience-1.5-Flash <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Salience-1.5-Flash-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Salience-1.5-Flash-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/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.8 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.mmproj-f16.gguf) | mmproj-f16 | 1.2 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.Q2_K.gguf) | Q2_K | 11.4 | | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.Q3_K_S.gguf) | Q3_K_S | 13.4 | | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.Q3_K_M.gguf) | Q3_K_M | 14.8 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.Q3_K_L.gguf) | Q3_K_L | 16.0 | | | [GGUF](https://huggingface.co/mradermacher/Salience-1.5-Flash-GGUF/resolve/main/Salience-1.5-Flash.IQ4_XS.gguf) | IQ4_XS | 16.7 | | | [GGU...

Source context: 274 downloads · 1 likes · Library transformers · Repo mradermacher/Salience-1.5-Flash-GGUF

Source context: 523 downloads · 1 likes · Library transformers · Repo mradermacher/Salience-1.5-Flash-GGUF