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| "_commit_hash": "3ab0a536b1778c885624ae920cd73d06228ae441", | |
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| ], | |
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| "AutoModel": "nvidia/Eagle2-2B--modeling_eagle2_5_vl.Eagle2_5_VLForConditionalGeneration" | |
| }, | |
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| "model_type": "eagle_2_5_vl", | |
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| "pre_feature_reduction": false, | |
| "select_layer": -1, | |
| "template": "qwen2-chat", | |
| "text_config": { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "./pretrained/Qwen2_5-1_5B-Instruct", | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
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| "max_position_embeddings": 32768, | |
| "max_window_layers": 21, | |
| "model_type": "qwen2", | |
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| "num_hidden_layers": 28, | |
| "num_key_value_heads": 2, | |
| "rms_norm_eps": 1e-06, | |
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| "rope_theta": 1000000.0, | |
| "sliding_window": 32768, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
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| "transformers_version": "4.51.0", | |
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| "drop_path_rate": 0.1, | |
| "hidden_act": "gelu_pytorch_tanh", | |
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| "image_size": 448, | |
| "intermediate_size": 4304, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "siglip_vision_model", | |
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| "num_channels": 3, | |
| "num_hidden_layers": 27, | |
| "patch_size": 14, | |
| "torch_dtype": "bfloat16" | |
| } | |
| } | |