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Cheers / config.json
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{
"architectures": [
"Cheers"
],
"auto_map": {
"AutoConfig": "configuration_umm.UMMConfig",
"AutoModel": "modeling_umm.UMMModel",
"AutoModelForCausalLM": "modeling_umm.Cheers"
},
"vae_encoder_config": {
"resolution": 512
},
"vae_decoder_config": {
"resolution": 512
},
"vision_representation_config": {
"attention_dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 1152,
"image_size": 512,
"intermediate_size": 4304,
"layer_norm_eps": 1e-06,
"model_type": "umm",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 27,
"num_patches": 1024,
"patch_size": 16
},
"text_config":{
"hidden_size": 1536,
"intermediate_size": 8960,
"max_window_layers": 21,
"num_attention_heads": 12,
"num_key_value_heads": 2,
"sliding_window": 32768,
"tie_word_embeddings": true,
"vocab_size": 151936,
"max_position_embeddings": 32768
},
"model_type": "umm",
"torch_dtype": "bfloat16",
"transformers_version": "4.51.3"
}