Add model metadata file
Browse filesAdds metadata.yaml so the model can be listed in the AI Portal. Fields are derived from the README frontmatter and the uploaded .pte; model_size_mb is the actual artefact size. No other files touched.
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metadata.yaml
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schema_version: 1.0.0
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report_type: llm-generative
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task_type: text-generation
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title: Gemma-4-E2B 8da4w — ExecuTorch
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id: Arm/gemma-4-e2b-text-executorch
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base_model_id: google/gemma-4-E2B
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profile: Arm-Optimized
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weight_dtype: int4
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model_size_mb: 2563.959
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format: executorch
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filename: gemma4_e2b_text_8da4w_emb4.pte
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quantization:
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method: PTQ-dynamic
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variant: 8da4w
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weight_bits: 4
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activation_bits: 8
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mode: dynamic
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weight_granularity: per-group
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