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gemma-4-31B-it-ARA-heretic-GGUF

2.1k143

mradermacher · 30.7B parameters · 214 GB · Apache 2.0

Address
mradermacher/gemma-4-31b-it-ara-heretic-gguf
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Status
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Base model
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Lineage
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Unchanged from base
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Trending
#31
Downloads, 30 days
2.1k
Weights
214 GB
Revision

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

At a glance

Parameters
30.7B
Architecture
Gemma 4
Context
256K tokens
Format
GGUF
Library
transformers
License
Apache 2.0Commercial use
Languages
en
Released
Nov 2026
Updated
Nov 2026
Likes
42
Downloads, all time
2,088

Run it

Loads with Transformers AutoModel, pinned to the indexed revision.

llama-server -hf mradermacher/gemma-4-31B-it-ARA-heretic-GGUF

Through the hub: the same tools, each file from a source that is up (Hugging Face, ModelScope, IPFS), at this revision. The second line checks every file against its address.

export HF_ENDPOINT=https://gethologram.ai
cd "$(hf download mradermacher/gemma-4-31B-it-ARA-heretic-GGUF --quiet)" && curl -s $HF_ENDPOINT/mradermacher/gemma-4-31B-it-ARA-heretic-GGUF/resolve/main/SHA256SUMS | sha256sum -c --quiet
Read the full model card

About

static quants of https://huggingface.co/richardyoung/gemma-4-31B-it-ARA-heretic

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-31B-it-ARA-heretic-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)

Link Type Size/GB Notes
GGUF mmproj-Q8_0 0.9 multi-modal supplement
GGUF mmproj-f16 1.3 multi-modal supplement
GGUF Q2_K 12.0
GGUF Q3_K_S 13.9
GGUF Q3_K_M 15.4 lower quality
GGUF Q3_K_L 16.7
GGUF IQ4_XS 17.0
GGUF Q4_K_S 17.9 fast, recommended
GGUF Q4_K_M 18.8 fast, recommended
GGUF Q5_K_S 21.4
GGUF Q5_K_M 21.9
GGUF Q6_K 25.3 very good quality
GGUF Q8_0 32.7 fast, 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.

Derived on Nov 9, 2026 from Hugging Face at revision 1b49bbdc, README.md .