File size: 1,588 Bytes
c50702f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | {
"_class_name": "ErnieImageTransformer2DModel",
"_diffusers_version": "0.38.0.dev0",
"_name_or_path": "./tmp_model/transformer",
"eps": 1e-06,
"ffn_hidden_size": 12288,
"hidden_size": 4096,
"in_channels": 128,
"num_attention_heads": 32,
"num_layers": 36,
"out_channels": 128,
"patch_size": 1,
"qk_layernorm": true,
"quantization_config": {
"_load_in_4bit": true,
"_load_in_8bit": false,
"bnb_4bit_compute_dtype": "bfloat16",
"bnb_4bit_quant_storage": "uint8",
"bnb_4bit_quant_type": "nf4",
"bnb_4bit_use_double_quant": true,
"llm_int8_enable_fp32_cpu_offload": false,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": [
"layers.0.self_attention.to_q",
"layers.0.self_attention.to_k",
"layers.0.self_attention.to_v",
"layers.0.self_attention.to_out.0",
"layers.0.mlp.gate_proj",
"layers.0.mlp.up_proj",
"layers.0.mlp.linear_fc2",
"layers.35.self_attention.to_q",
"layers.35.self_attention.to_k",
"layers.35.self_attention.to_v",
"layers.35.self_attention.to_out.0",
"layers.35.mlp.gate_proj",
"layers.35.mlp.up_proj",
"layers.35.mlp.linear_fc2",
"text_proj",
"time_embedding.linear_1",
"time_embedding.linear_2",
"adaLN_modulation.1",
"final_norm.linear",
"final_linear"
],
"llm_int8_threshold": 6.0,
"load_in_4bit": true,
"load_in_8bit": false,
"quant_method": "bitsandbytes"
},
"rope_axes_dim": [
32,
48,
48
],
"rope_theta": 256,
"text_in_dim": 3072
}
|