Bernini-R-int4 / config.json
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Add Bernini-R MLX weights (renderer-only; Wan2.2-A14B derived)
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{
"model_type": "t2v",
"model_version": "2.2",
"patch_size": [
1,
2,
2
],
"text_len": 512,
"in_dim": 16,
"dim": 5120,
"ffn_dim": 13824,
"freq_dim": 256,
"text_dim": 4096,
"out_dim": 16,
"num_heads": 40,
"num_layers": 40,
"window_size": [
-1,
-1
],
"qk_norm": true,
"cross_attn_norm": true,
"eps": 1e-06,
"vae_stride": [
4,
8,
8
],
"vae_z_dim": 16,
"dual_model": true,
"boundary": 0.875,
"sample_shift": 3.0,
"sample_steps": 40,
"sample_guide_scale": [
3.0,
4.0
],
"num_train_timesteps": 1000,
"sample_fps": 16,
"frame_num": 81,
"sample_neg_prompt": "\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70",
"max_area": 0,
"t5_vocab_size": 256384,
"t5_dim": 4096,
"t5_dim_attn": 4096,
"t5_dim_ffn": 10240,
"t5_num_heads": 64,
"t5_num_layers": 24,
"t5_num_buckets": 32,
"quantization": {
"group_size": 64,
"bits": 4
}
}