Download vision_tower/config.json from Efficient-Large-Model/qwen2-7b-longvila-1M: direct link, hf CLI and curl.
- Browser
- Download file 484 Bytes
-
https://huggingface.co/Efficient-Large-Model/qwen2-7b-longvila-1M/resolve/main/vision_tower/config.json
- Command line
-
hf download hf://Efficient-Large-Model/qwen2-7b-longvila-1M/vision_tower/config.json
-
curl -L -o config.json https://huggingface.co/Efficient-Large-Model/qwen2-7b-longvila-1M/resolve/main/vision_tower/config.json
484 Bytes
| { | |
| "_name_or_path": "./output/qwen2-7b-longvila-1M/vision_tower", | |
| "architectures": [ | |
| "SiglipVisionModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "image_size": 384, | |
| "intermediate_size": 4304, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "siglip_vision_model", | |
| "num_attention_heads": 16, | |
| "num_channels": 3, | |
| "num_hidden_layers": 27, | |
| "patch_size": 14, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.44.2" | |
| } | |