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Open-weight model

Vinci-MLE-8B-1.0-i1-GGUF

by Team Mradermacher mradermacher/Vinci-MLE-8B-1.0-i1-GGUF

Vinci-MLE-8B-1.0-i1-GGUF is an open-weight model from Team Mradermacher, released under Apache License 2.0. Its published files total 49.3 GB.

weighted/imatrix quants of https://huggingface.co/simpledirect/Vinci-MLE-8B-1.0 For a convenient overview and download list, visit our model page for this model.

Parameters—
Context—
Weights49.3 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Team Mradermacher, published under apache-2.0, revision 400fe9742626.

weighted/imatrix quants of https://huggingface.co/simpledirect/Vinci-MLE-8B-1.0 For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Vinci-MLE-8B-1.0-GGUF 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. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) Here is a handy graph by ikawrakow comparing some lower-quality quant And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 See…

Read Team Mradermacher's full model card

About

weighted/imatrix quants of https://huggingface.co/simpledirect/Vinci-MLE-8B-1.0

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

static quants are available at https://huggingface.co/mradermacher/Vinci-MLE-8B-1.0-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)

Link Type Size/GB Notes
GGUF imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-Q2_K 3.5 IQ3_XXS probably better
GGUF i1-IQ3_M 4.2

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.

Identity and Version

Repository
mradermacher/Vinci-MLE-8B-1.0-i1-GGUF
Publisher
Team Mradermacher
Task
Not stated by the source
Modality
Other
Library
transformers
Parameters
Not stated by the source
Languages
en
Revision
400fe974262696f2983b9608a4946ec0f31790be
First published
2026-09-29
Last updated
2026-09-29

Files and Weights

14 files, 49.3 GB in total. The weights are 12 files totalling 49.3 GB in gguf.

Weights12 files · 49.3 GB
Documentation1 file · 2.8 KB
Repository1 file · 2.3 KB
Every file
FileTypeSizeSHA-256
Vinci-MLE-8B-1.0.i1-IQ2_M.ggufWeights3.2 GB 09bf33217342
Vinci-MLE-8B-1.0.i1-IQ3_M.ggufWeights4.1 GB e248ecad47ce
Vinci-MLE-8B-1.0.i1-IQ3_XXS.ggufWeights3.5 GB cc5e4c7ae2a2
Vinci-MLE-8B-1.0.i1-IQ4_NL.ggufWeights5.1 GB 6f2c2ef18d2b
Vinci-MLE-8B-1.0.i1-IQ4_XS.ggufWeights4.8 GB b30d21dd324d
Vinci-MLE-8B-1.0.i1-Q2_K.ggufWeights3.4 GB f339e2a30d64
Vinci-MLE-8B-1.0.i1-Q2_K_S.ggufWeights3.2 GB aa0cf52db4f7
Vinci-MLE-8B-1.0.i1-Q3_K_M.ggufWeights4.3 GB 2ae1fa3c2c34
Vinci-MLE-8B-1.0.i1-Q4_K_M.ggufWeights5.3 GB 29c4481a2a77
Vinci-MLE-8B-1.0.i1-Q4_K_S.ggufWeights5.1 GB 5ea85aed66c7
Vinci-MLE-8B-1.0.i1-Q6_K.ggufWeights7.2 GB fe50b20b27c0
Vinci-MLE-8B-1.0.imatrix.ggufWeights6.0 MB deccad2a40fa
README.mdDocumentation2.8 KB —
.gitattributesRepository2.3 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
49.3 GB
Download from Team Mradermacher

Released by Team Mradermacher through its official repository on Hugging Face. Read the license.

Built From

  • Adapter of simpledirect/Vinci-MLE-8B-1.0
  • Derived from simpledirect/Vinci-MLE-8B-1.0

Memory Requirements

PrecisionWeights in memory
As published49.3 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Vinci-MLE-8B-1.0-i1-GGUF

Can I use Vinci-MLE-8B-1.0-i1-GGUF commercially?

Yes. Vinci-MLE-8B-1.0-i1-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.