transformer/config.json

{
  "_class_name": "Ideogram4Transformer2DModel",
  "_diffusers_version": "0.39.0.dev0",
  "_name_or_path": "/home/jinli/.cache/huggingface/hub/models--ideogram-ai--debug-ideogram-v4/snapshots/41af6183c9fd9b6254864b0720319ef984535bfc/transformer",
  "adaln_dim": 512,
  "attention_head_dim": 256,
  "in_channels": 128,
  "intermediate_size": 12288,
  "llm_features_dim": 53248,
  "mrope_section": [
    24,
    20,
    20
  ],
  "norm_eps": 1e-05,
  "num_attention_heads": 18,
  "num_layers": 34,
  "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": false,
    "llm_int8_enable_fp32_cpu_offload": false,
    "llm_int8_has_fp16_weight": false,
    "llm_int8_skip_modules": null,
    "llm_int8_threshold": 6.0,
    "load_in_4bit": true,
    "load_in_8bit": false,
    "quant_method": "bitsandbytes"
  },
  "rope_theta": 5000000
}