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gemma-4-31B-it-exl3-8.00bpw
UnstableLlama/gemma-4-31B-it-exl3-8.00bpw
gemma-4-31B-it-exl3-8.00bpw is a machine learning model from UnstableLlama. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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17.2B
34.4 GB on disk
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.safetensors34.3 GB · 100%
Parameter types
How the weights are stored.
I1615.2B · 88%
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Model card
From the Hugging Face model README
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<div class="dashboard-container">
<div class="dashboard-header">
<h1>google / gemma-4-31B-it</h1>
<h2>exl3 8.00bpw</h2>
<div class="meta-tag">QUANTIZED BY: UnstableLlama</div>
</div>
<div class="content-panel">
<div class="panel-title">Information</div>
<div class="panel-body">
⚠️ Requires ExLlamaV3 v0.0.29 (or v0.0.28 `dev` branch)
<br/>
exl3 quantization of <b><a class="link-style" href="https://huggingface.co/google/gemma-4-31B-it">gemma-4-31B-it</a></b> via
<b><a class="link-style" href="https://github.com/turboderp-org/exllamav3">exllamav3</a></b>.
<br/>
repo generated automatically with
<a class="link-style" href="https://github.com/UnstableLlama/ezexl3">ezexl3</a>.
<br/><br/>
stay tuned for measurements and possible chat template / tokenizer updates as we learn more...
</div>
</div>
<div class="content-panel">
<div class="panel-title">Repo Data</div>
<div class="panel-body repo-data-body repo-data-panel">
<img class="repo-graph" src="excat_gemma-4-31B-it.png" alt="gemma excat">
<b><a class="link-style" href="https://github.com/UnstableLlama/excat">excat model signature</a></b>
</div>
</div>
</div>
<div class="content-panel">
<div class="panel-title">CLI Download</div>
<div class="panel-body">
<div class="terminal-box">
hf download UnstableLlama/gemma-4-31B-it-exl3 --local-dir ./gemma-4-31B-it-exl3-8.00bpw
</div>
</div>
</div>
</div>
- Type
- gemma4
- License
- apache-2.0
- Created
- Apr 10, 2026
- Updated
- Apr 10, 2026