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Duplicate from AcademiaSD/Krea-2-NF4-for-LoRA-Training
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{
"format": "Krea2-NF4",
"version": 1,
"model_id": "./Krea-2-Raw",
"dtype": "bfloat16",
"quant_type": "nf4",
"compute_dtype": "bfloat16",
"quantized_layers": 257,
"unquantized_layers": 7,
"skip_quant": [
"img_in",
"time_embed",
"time_mod_proj",
"txt_in",
"final_layer"
],
"bitsandbytes_prequantized": true,
"quant_state_serialization": "as_dict(packed=True)",
"loader": "Params4bit.from_prequantized"
}