runtime error

Exit code: 1. Reason: in: 75%|███████▍ | 3.59G/4.80G [00:31<00:07, 165MB/s] open_clip_pytorch_model.bin: 79%|███████▊ | 3.77G/4.80G [00:33<00:07, 145MB/s] open_clip_pytorch_model.bin: 82%|████████▏ | 3.94G/4.80G [00:34<00:06, 141MB/s] open_clip_pytorch_model.bin: 86%|████████▌ | 4.14G/4.80G [00:35<00:04, 154MB/s] open_clip_pytorch_model.bin: 93%|█████████▎| 4.45G/4.80G [00:36<00:01, 191MB/s] open_clip_pytorch_model.bin: 100%|█████████▉| 4.80G/4.80G [00:38<00:00, 125MB/s] open_clip_config.json: 0%| | 0.00/596 [00:00<?, ?B/s] open_clip_config.json: 100%|██████████| 596/596 [00:00<00:00, 3.47MB/s] INFO:transformers_modules.microsoft.Magma-8B.b33355b3cffebdf9d8e60207f30a2cb1193b55c0.image_tower_magma:Loaded hf-hub:laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg model config. Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s] Loading checkpoint shards: 25%|██▌ | 1/4 [00:13<00:39, 13.21s/it] Loading checkpoint shards: 100%|██████████| 4/4 [00:13<00:00, 3.37s/it] Some weights of MagmaForCausalLM were not initialized from the model checkpoint at microsoft/Magma-8B and are newly initialized: ['vision_tower.clip_vision_model.head.proj.weight', 'vision_tower.clip_vision_model.trunk.head.norm.bias', 'vision_tower.clip_vision_model.trunk.head.norm.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. generation_config.json: 0%| | 0.00/152 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 152/152 [00:00<00:00, 942kB/s] INFO:httpx:HTTP Request: GET https://api.gradio.app/pkg-version "HTTP/1.1 200 OK" Traceback (most recent call last): File "/home/user/app/app.py", line 26, in <module> interface.launch(share=False, enable_queue=True) TypeError: Blocks.launch() got an unexpected keyword argument 'enable_queue'

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