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Gemma-3-4b-it-mm-onnx-ryzenai-npu
amd/Gemma-3-4b-it-mm-onnx-ryzenai-npu
Gemma-3-4b-it-mm-onnx-ryzenai-npu is a machine learning model from amd. 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 gemma.
- Introduction This model was created using Quark Quantization for the Decoder, followed by OGA Model Builder, and finalized with post-processing for NPU deployment. - Quantization Strategy - AWQ / Group 128 / Asymmet…
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Public
Updated Jan 21, 2026
Repo size
7.3 GB
Likes
2
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Repo makeup
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.data5.7 GB · 86%
At a glance
- License
- gemma
- Access
- Public
- Created
- Dec 12, 2025
- Updated
- Jan 21, 2026
- SHA
- ef8382f1
Base models
Model card
From the Hugging Face model README
amd/gemma-3-4b
-
Introduction
This model was created using Quark Quantization for the Decoder, followed by OGA Model Builder, and finalized with post-processing for NPU deployment.
-
Quantization Strategy
- AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 weights
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Base model info:
-
Please refer to Gemma-3-4b-it for base model info.
Evaluation scores
- The MMMU scores are, Music: 33.33, Marketing: 40, Math: 30, Clinical Medicine: 20, History: 40, Electronics: 13.3.
- The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 16.825.
License
Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.
- License
- gemma
- Languages
- zh, en
- Created
- Dec 12, 2025
- Updated
- Jan 21, 2026