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TRivia 3B I1 GGUF

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

KindOtherBase modelopendatalab/TRivia-3BVersionRevision c2122c0

Model source

Kind
Other
File size
3.24 MB–2.60 GB
Base model
opendatalab/TRivia-3B
Version
vRevision c2122c0
Updated
Sep 17, 2026
Downloads
838
Tasks
Captioning
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/opendatalab/TRivia-3B

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

static quants are available at https://huggingface.co/mradermacher/TRivia-3B-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_S1.0for the desperate
GGUFi1-IQ1_M1.1mostly desperate
GGUFi1-IQ2_XXS1.2
GGUFi1-IQ2_XS1.2
GGUFi1-IQ2_S1.3
GGUFi1-IQ2_M1.4
GGUFi1-Q2_K_S1.4very low quality
GGUFi1-Q2_K1.5IQ3_XXS probably better
GGUFi1-IQ3_XXS1.5lower quality
GGUFi1-IQ3_XS1.6
GGUFi1-Q3_K_S1.7IQ3_XS probably better
GGUFi1-IQ3_S1.7beats Q3_K*
GGUFi1-IQ3_M1.7
GGUFi1-Q3_K_M1.8IQ3_S probably better
GGUFi1-Q3_K_L1.9IQ3_M probably better
GGUFi1-IQ4_XS2.0
GGUFi1-IQ4_NL2.1prefer IQ4_XS
GGUFi1-Q4_02.1fast, low quality
GGUFi1-Q4_K_S2.1optimal size/speed/quality
GGUFi1-Q4_K_M2.2fast, recommended
GGUFi1-Q4_12.3
GGUFi1-Q5_K_S2.5
GGUFi1-Q5_K_M2.5
GGUFi1-Q6_K2.9practically 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.

Sources

1 source
Hugging FacePrimaryVersion c2122c043d46085145e56b41925d654ac901e3a1
huggingface.co/mradermacher/TRivia-3B-i1-GGUF/tree/c2122c043d46085145e56b41925d654ac901e3a1

Verified Sep 17

Model artifacts

25 artifacts

TRivia-3B.i1-IQ1_M.gguf

gguf · 908 MB · SHA-256 111948418286…0c35 · Hugging Face

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TRivia-3B.i1-IQ1_S.gguf

gguf · 852 MB · SHA-256 e5ccb9939d9f…6b31 · Hugging Face

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TRivia-3B.i1-IQ2_M.gguf

gguf · 1.19 GB · SHA-256 600511e8ade0…c26a · Hugging Face

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TRivia-3B.i1-IQ2_S.gguf

gguf · 1.11 GB · SHA-256 51b826ed7d98…2d43 · Hugging Face

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TRivia-3B.i1-IQ2_XS.gguf

gguf · 1.06 GB · SHA-256 b3edc36a2cf9…4643 · Hugging Face

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TRivia-3B.i1-IQ2_XXS.gguf

gguf · 1,002 MB · SHA-256 1ca911ee5ffb…157f · Hugging Face

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TRivia-3B.i1-IQ3_M.gguf

gguf · 1.51 GB · SHA-256 20478a389dbc…8b0c · Hugging Face

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TRivia-3B.i1-IQ3_S.gguf

gguf · 1.48 GB · SHA-256 ccc145b0eee3…987b · Hugging Face

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TRivia-3B.i1-IQ3_XS.gguf

gguf · 1.42 GB · SHA-256 c2643aca2a73…cd82 · Hugging Face

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TRivia-3B.i1-IQ3_XXS.gguf

gguf · 1.32 GB · SHA-256 361c437edc55…228b · Hugging Face

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TRivia-3B.i1-IQ4_NL.gguf

gguf · 1.86 GB · SHA-256 b60be0d7210b…cd2b · Hugging Face

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TRivia-3B.i1-IQ4_XS.gguf

gguf · 1.77 GB · SHA-256 7604fd57bb77…ac5f · Hugging Face

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TRivia-3B.i1-Q2_K_S.gguf

gguf · 1.21 GB · SHA-256 2b84ccc614fd…8b1b · Hugging Face

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TRivia-3B.i1-Q2_K.gguf

gguf · 1.28 GB · SHA-256 6b4cc706ed97…97f9 · Hugging Face

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TRivia-3B.i1-Q3_K_L.gguf

gguf · 1.71 GB · SHA-256 3965e77b7522…e97c · Hugging Face

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TRivia-3B.i1-Q3_K_M.gguf

gguf · 1.61 GB · SHA-256 e30252e8b074…b90b · Hugging Face

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TRivia-3B.i1-Q3_K_S.gguf

gguf · 1.48 GB · SHA-256 bbc0b9570cb9…1fdd · Hugging Face

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TRivia-3B.i1-Q4_0.gguf

gguf · 1.87 GB · SHA-256 3667e5017845…0996 · Hugging Face

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TRivia-3B.i1-Q4_1.gguf

gguf · 2.04 GB · SHA-256 1d7f8a82b034…fb5a · Hugging Face

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TRivia-3B.i1-Q4_K_M.gguf

gguf · 1.96 GB · SHA-256 7f4eac7d277a…9452 · Hugging Face

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TRivia-3B.i1-Q4_K_S.gguf

gguf · 1.87 GB · SHA-256 bfa507a46762…a1fb · Hugging Face

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TRivia-3B.i1-Q5_K_M.gguf

gguf · 2.27 GB · SHA-256 fc6ac03ceb0e…96fd · Hugging Face

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TRivia-3B.i1-Q5_K_S.gguf

gguf · 2.22 GB · SHA-256 6e2ea9d1a698…abbb · Hugging Face

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TRivia-3B.i1-Q6_K.gguf

gguf · 2.60 GB · SHA-256 dc34d7eede0b…56c8 · Hugging Face

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TRivia-3B.imatrix.gguf

gguf · 3.24 MB · SHA-256 0f31d2e4fce1…5bbc · Hugging Face

Download

Source excerpts

2 excerpts

--- base_model: opendatalab/TRivia-3B language: - en - zh - multilingual library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - table recognition - image-to-text - table --- ## 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/opendatalab/TRivia-3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#TRivia-3B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/TRivia-3B-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/TRivia-3B-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/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.0 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.1 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.2 | | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.2 | | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ2_S.gguf) | i1-IQ2_S | 1.3 | | | [GGUF](https://huggingface.co/mradermacher/TRivia-3B-i1-GGUF/resolve/main/TRivia-3B.i1-IQ2_M.gguf) |...

Source context: 838 downloads · 0 likes · Pipeline image-to-text · Library transformers · Repo mradermacher/TRivia-3B-i1-GGUF