| from transformers import Qwen3Model, Qwen3Config | |
| import torch | |
| class ZImageTextEncoder(torch.nn.Module): | |
| def __init__(self): | |
| super().__init__() | |
| config = Qwen3Config(**{ | |
| "architectures": [ | |
| "Qwen3ForCausalLM" | |
| ], | |
| "attention_bias": False, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9728, | |
| "max_position_embeddings": 40960, | |
| "max_window_layers": 36, | |
| "model_type": "qwen3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": None, | |
| "rope_theta": 1000000, | |
| "sliding_window": None, | |
| "tie_word_embeddings": True, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.51.0", | |
| "use_cache": True, | |
| "use_sliding_window": False, | |
| "vocab_size": 151936 | |
| }) | |
| self.model = Qwen3Model(config) | |
| def forward(self, *args, **kwargs): | |
| return self.model(*args, **kwargs) | |