embeddinggemma-2-Quantized / quant_config.json
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second release: sensitive layers at int8 (486 MiB), lower rounding error and fewer top-1 changes
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{
"format": 3,
"bits": 4,
"audio_bits": 4,
"int8_layers": {
"language_model": [
"other",
23,
11,
22,
10,
14
],
"vision_tower": [
12,
13,
14,
15
]
},
"group": 16,
"position_rows": 2520,
"embed_scale": {
"language_model.embed_tokens": 22.625
},
"meta": "uint8 affine per row with fp16 lo and hi",
"audio": "tower block linears int4; convolutions, norms and embed_audio bf16",
"text": "linears and token table int4",
"vision": "block linears int4",
"kept_bf16": "patch input projection, position table, embed_vision, norms"
}