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Iris 12B v1.3.2 I1 GGUF

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

TipoOtherModelo baseLambent/Iris-12B-v1.3.2VersãoRevision 8f3b357Publicador@mradermacherCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
7,13 MB–9,11 GB
Modelo base
Lambent/Iris-12B-v1.3.2
Versão
vRevision 8f3b357
Atualizado
4 de out. de 2026
Publicador
@mradermacher
Downloads
1,7 mil
Parâmetros
12B
Fonte
Hugging Face

Descrição da fonte

About

weighted/imatrix quants of https://huggingface.co/Lambent/Iris-12B-v1.3.2

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

static quants are available at https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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
GGUFimatrix0.1imatrix file (for creating your own quants)
GGUFi1-IQ1_S3.1for the desperate
GGUFi1-IQ1_M3.3mostly desperate
GGUFi1-IQ2_XXS3.7
GGUFi1-IQ2_XS4.0
GGUFi1-IQ2_S4.2
GGUFi1-IQ2_M4.5
GGUFi1-Q2_K_S4.6very low quality
GGUFi1-Q2_K4.9IQ3_XXS probably better
GGUFi1-IQ3_XXS4.9lower quality
GGUFi1-IQ3_XS5.4
GGUFi1-IQ3_S5.6beats Q3_K*
GGUFi1-Q3_K_S5.6IQ3_XS probably better
GGUFi1-IQ3_M5.8
GGUFi1-Q3_K_M6.2IQ3_S probably better
GGUFi1-Q3_K_L6.7IQ3_M probably better
GGUFi1-IQ4_XS6.7
GGUFi1-IQ4_NL7.1prefer IQ4_XS
GGUFi1-Q4_07.1fast, low quality
GGUFi1-Q4_K_S7.1optimal size/speed/quality
GGUFi1-Q4_K_M7.5fast, recommended
GGUFi1-Q4_17.8
GGUFi1-Q5_K_S8.4
GGUFi1-Q5_K_M8.6
GGUFi1-Q6_K9.9practically like static Q6_K

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.

Fontes

1 fonte
Hugging FacePrimárioVersão 8f3b357540b20efbcd754ceeb1030251b3bc6d95
huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/tree/8f3b357540b20efbcd754ceeb1030251b3bc6d95

Verificado 4 de out.

Artefatos de modelo

25 artefatos

Iris-12B-v1.3.2.i1-IQ1_M.gguf

gguf · 2,98 GB · SHA-256 d2574222e2cd…6e54 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ1_S.gguf

gguf · 2,78 GB · SHA-256 135597628840…a8d2 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ2_M.gguf

gguf · 4,07 GB · SHA-256 2025de52858e…2706 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ2_S.gguf

gguf · 3,80 GB · SHA-256 70b465b34e94…f04d · Hugging Face

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Iris-12B-v1.3.2.i1-IQ2_XS.gguf

gguf · 3,62 GB · SHA-256 9930390210ef…dbc3 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ2_XXS.gguf

gguf · 3,32 GB · SHA-256 f7554b9c127d…941b · Hugging Face

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Iris-12B-v1.3.2.i1-IQ3_M.gguf

gguf · 5,34 GB · SHA-256 f5dd0c74d87d…25ff · Hugging Face

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Iris-12B-v1.3.2.i1-IQ3_S.gguf

gguf · 5,15 GB · SHA-256 3874bf5f23b8…04bc · Hugging Face

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Iris-12B-v1.3.2.i1-IQ3_XS.gguf

gguf · 4,91 GB · SHA-256 765cea5b628b…7ab9 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ3_XXS.gguf

gguf · 4,52 GB · SHA-256 bb2114a57f43…3d65 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ4_NL.gguf

gguf · 6,50 GB · SHA-256 87a57abda120…6ea0 · Hugging Face

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Iris-12B-v1.3.2.i1-IQ4_XS.gguf

gguf · 6,18 GB · SHA-256 ac8b112f054a…68ff · Hugging Face

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Iris-12B-v1.3.2.i1-Q2_K_S.gguf

gguf · 4,19 GB · SHA-256 16574c1bc275…eb0c · Hugging Face

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Iris-12B-v1.3.2.i1-Q2_K.gguf

gguf · 4,50 GB · SHA-256 645831d74764…e790 · Hugging Face

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Iris-12B-v1.3.2.i1-Q3_K_L.gguf

gguf · 6,12 GB · SHA-256 0410a1848b97…b162 · Hugging Face

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Iris-12B-v1.3.2.i1-Q3_K_M.gguf

gguf · 5,67 GB · SHA-256 ea8ae57f1f82…ccc4 · Hugging Face

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Iris-12B-v1.3.2.i1-Q3_K_S.gguf

gguf · 5,15 GB · SHA-256 3c4b554fbe76…c380 · Hugging Face

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Iris-12B-v1.3.2.i1-Q4_0.gguf

gguf · 6,52 GB · SHA-256 77f35d21cc0d…29f8 · Hugging Face

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Iris-12B-v1.3.2.i1-Q4_1.gguf

gguf · 7,13 GB · SHA-256 c94af7a84204…0aa4 · Hugging Face

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Iris-12B-v1.3.2.i1-Q4_K_M.gguf

gguf · 6,87 GB · SHA-256 4d8bdf5f2615…535b · Hugging Face

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Iris-12B-v1.3.2.i1-Q4_K_S.gguf

gguf · 6,54 GB · SHA-256 b761ca57546b…7311 · Hugging Face

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Iris-12B-v1.3.2.i1-Q5_K_M.gguf

gguf · 7,96 GB · SHA-256 8ec6678a861d…28d0 · Hugging Face

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Iris-12B-v1.3.2.i1-Q5_K_S.gguf

gguf · 7,77 GB · SHA-256 be57485724a2…c3f9 · Hugging Face

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Iris-12B-v1.3.2.i1-Q6_K.gguf

gguf · 9,11 GB · SHA-256 85e266644ca8…ac3b · Hugging Face

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Iris-12B-v1.3.2.imatrix.gguf

gguf · 7,13 MB · SHA-256 2e0253c43253…0c4c · Hugging Face

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Trechos de fonte

3 trechos

--- base_model: Lambent/Iris-12B-v1.3.2 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/Lambent/Iris-12B-v1.3.2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Iris-12B-v1.3.2-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Iris-12B-v1.3.2-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-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/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3.2-i1-GGUF/resolve/main/Iris-12B-v1.3.2.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/Iris-12B-v1.3...

Source context: 1686 downloads · 2 likes · Library transformers · Repo mradermacher/Iris-12B-v1.3.2-i1-GGUF

Source context: 4148 downloads · 1 likes · Library transformers · Repo mradermacher/Iris-12B-v1.3.2-i1-GGUF