ideogram-4-sdnq-uint4 / vae /quantization_config.json
WaveCut's picture
Add files using upload-large-folder tool
f3d279e verified
{
"add_skip_keys": false,
"dequantize_fp32": false,
"dynamic_loss_threshold": null,
"group_size": 0,
"hadamard_group_size": 128,
"is_integer": true,
"is_training": false,
"modules_dtype_dict": {},
"modules_quant_config": {},
"modules_to_not_convert": [
"encoder.down.0.block.0.norm1.weight",
"encoder.down.0.block.0.norm2.weight",
"encoder.down.0.block.1.norm1.weight",
"encoder.down.0.block.1.norm2.weight",
"encoder.down.1.block.0.norm1.weight",
"encoder.down.1.block.0.norm2.weight",
"encoder.down.1.block.1.norm1.weight",
"encoder.down.1.block.1.norm2.weight",
"encoder.down.2.block.0.norm1.weight",
"encoder.down.2.block.0.norm2.weight",
"encoder.down.2.block.1.norm1.weight",
"encoder.down.2.block.1.norm2.weight",
"encoder.down.3.block.0.norm1.weight",
"encoder.down.3.block.0.norm2.weight",
"encoder.down.3.block.1.norm1.weight",
"encoder.down.3.block.1.norm2.weight",
"encoder.mid.block_1.norm1.weight",
"encoder.mid.block_1.norm2.weight",
"encoder.mid.attn_1.norm.weight",
"encoder.mid.block_2.norm1.weight",
"encoder.mid.block_2.norm2.weight",
"encoder.norm_out.weight",
"decoder.mid.block_1.norm1.weight",
"decoder.mid.block_1.norm2.weight",
"decoder.mid.attn_1.norm.weight",
"decoder.mid.block_2.norm1.weight",
"decoder.mid.block_2.norm2.weight",
"decoder.up.0.block.0.norm1.weight",
"decoder.up.0.block.0.norm2.weight",
"decoder.up.0.block.1.norm1.weight",
"decoder.up.0.block.1.norm2.weight",
"decoder.up.0.block.2.norm1.weight",
"decoder.up.0.block.2.norm2.weight",
"decoder.up.1.block.0.norm1.weight",
"decoder.up.1.block.0.norm2.weight",
"decoder.up.1.block.1.norm1.weight",
"decoder.up.1.block.1.norm2.weight",
"decoder.up.1.block.2.norm1.weight",
"decoder.up.1.block.2.norm2.weight",
"decoder.up.2.block.0.norm1.weight",
"decoder.up.2.block.0.norm2.weight",
"decoder.up.2.block.1.norm1.weight",
"decoder.up.2.block.1.norm2.weight",
"decoder.up.2.block.2.norm1.weight",
"decoder.up.2.block.2.norm2.weight",
"decoder.up.3.block.0.norm1.weight",
"decoder.up.3.block.0.norm2.weight",
"decoder.up.3.block.1.norm1.weight",
"decoder.up.3.block.1.norm2.weight",
"decoder.up.3.block.2.norm1.weight",
"decoder.up.3.block.2.norm2.weight",
"decoder.norm_out.weight"
],
"modules_to_not_use_matmul": [],
"non_blocking": false,
"quant_conv": true,
"quant_embedding": false,
"quant_method": "sdnq",
"quantization_device": "cuda",
"quantized_matmul_dtype": null,
"return_device": "cpu",
"sdnq_version": "0.1.9",
"svd_rank": 32,
"svd_steps": 8,
"use_dynamic_quantization": false,
"use_grad_ckpt": true,
"use_hadamard": false,
"use_quantized_matmul": false,
"use_quantized_matmul_conv": false,
"use_static_quantization": true,
"use_stochastic_rounding": false,
"use_svd": false,
"weights_dtype": "uint4"
}