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INDUS V2 GGUF

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

Sourcehuggingface.co/mradermacher/INDUS_V2-GGUF/tree/fc43253afb7e29c0ae68c91a33fec982fbf91c7d
KindOtherBase modelnarwade/INDUS_V2VersionRevision fc43253Publisher@mradermacherCgrade

Model source

Kind
Other
File size
2.54–13.5 GB
Base model
narwade/INDUS_V2
Version
vRevision fc43253
Updated
Oct 21, 2026
Publisher
@mradermacher
Downloads
145
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/narwade/INDUS_V2

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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
GGUFQ2_K2.8
GGUFQ3_K_S3.3
GGUFQ3_K_M3.6lower quality
GGUFQ3_K_L3.9
GGUFIQ4_XS4.0
GGUFQ4_K_S4.2fast, recommended
GGUFQ4_K_M4.5fast, recommended
GGUFQ5_K_S5.1
GGUFQ5_K_M5.2
GGUFQ6_K6.0very good quality
GGUFQ8_07.8fast, best quality
GGUFf1614.616 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.

Sources

1 source
Hugging FacePrimaryVersion fc43253afb7e29c0ae68c91a33fec982fbf91c7d
huggingface.co/mradermacher/INDUS_V2-GGUF/tree/fc43253afb7e29c0ae68c91a33fec982fbf91c7d

Verified Sep 27

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Model artifacts

12 artifacts

INDUS_V2.f16.gguf

gguf · 13.5 GB · SHA-256 4622b5ee2ce9…007e · Hugging Face

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INDUS_V2.IQ4_XS.gguf

gguf · 3.68 GB · SHA-256 dfaff71e6995…b717 · Hugging Face

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INDUS_V2.Q2_K.gguf

gguf · 2.54 GB · SHA-256 589f1058874a…26dd · Hugging Face

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INDUS_V2.Q3_K_L.gguf

gguf · 3.56 GB · SHA-256 1c2b7eeee399…004d · Hugging Face

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INDUS_V2.Q3_K_M.gguf

gguf · 3.28 GB · SHA-256 7e7c8774bfe8…56b2 · Hugging Face

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INDUS_V2.Q3_K_S.gguf

gguf · 2.95 GB · SHA-256 10ff73b76654…ccd4 · Hugging Face

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INDUS_V2.Q4_K_M.gguf

gguf · 4.07 GB · SHA-256 2c1d8061be8b…ca8a · Hugging Face

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INDUS_V2.Q4_K_S.gguf

gguf · 3.86 GB · SHA-256 f32fb30592e4…edfa · Hugging Face

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INDUS_V2.Q5_K_M.gguf

gguf · 4.78 GB · SHA-256 b0e95e046ca6…8d84 · Hugging Face

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INDUS_V2.Q5_K_S.gguf

gguf · 4.66 GB · SHA-256 0b4347ef007f…5f4e · Hugging Face

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INDUS_V2.Q6_K.gguf

gguf · 5.54 GB · SHA-256 75027c653d9b…977b · Hugging Face

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INDUS_V2.Q8_0.gguf

gguf · 7.17 GB · SHA-256 e6145aa2fa6a…bce4 · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/mradermacher/INDUS_V2-GGUF

--- base_model: narwade/INDUS_V2 language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/narwade/INDUS_V2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#INDUS_V2-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q2_K.gguf) | Q2_K | 2.8 | | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q3_K_S.gguf) | Q3_K_S | 3.3 | | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q3_K_L.gguf) | Q3_K_L | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.IQ4_XS.gguf) | IQ4_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q5_K_S.gguf) | Q5_K_S | 5.1 | | | [GGUF](https://huggingface.co/mradermacher/INDUS_V2-GGUF/resolve/main/INDUS_V2.Q5_K_M.gguf) | Q5_K_M | 5.2 | | | [GGUF](https://huggingface.co/mra...

NoteSep 27huggingface.co/mradermacher/INDUS_V2-GGUF

Source context: 145 downloads · 1 likes · Library transformers · Repo mradermacher/INDUS_V2-GGUF

NoteJul 16huggingface.co/mradermacher/INDUS_V2-GGUF

Source context: 30 downloads · 1 likes · Library transformers · Repo mradermacher/INDUS_V2-GGUF