runtime error

Exit code: 1. Reason: ��███▌ | 2.97G/3.89G [00:07<00:02, 444MB/s] pytorch_model.bin: 96%|█████████▌| 3.73G/3.89G [00:08<00:00, 539MB/s] pytorch_model.bin: 100%|█████████▉| 3.89G/3.89G [00:09<00:00, 423MB/s] No compiled kernel found. Compiling kernels : /home/user/.cache/huggingface/modules/transformers_modules/THUDM/chatglm-6b-int4/826ca34b74d484f40448238e57a0b45b66ad30fb/quantization_kernels_parallel.c Compiling gcc -O3 -fPIC -pthread -fopenmp -std=c99 /home/user/.cache/huggingface/modules/transformers_modules/THUDM/chatglm-6b-int4/826ca34b74d484f40448238e57a0b45b66ad30fb/quantization_kernels_parallel.c -shared -o /home/user/.cache/huggingface/modules/transformers_modules/THUDM/chatglm-6b-int4/826ca34b74d484f40448238e57a0b45b66ad30fb/quantization_kernels_parallel.so Load kernel : /home/user/.cache/huggingface/modules/transformers_modules/THUDM/chatglm-6b-int4/826ca34b74d484f40448238e57a0b45b66ad30fb/quantization_kernels_parallel.so Setting CPU quantization kernel threads to 8 Using quantization cache Applying quantization to glm layers Some weights of ChatGLMForConditionalGeneration were not initialized from the model checkpoint at THUDM/chatglm-6b-int4 and are newly initialized: ['transformer.prefix_encoder.embedding.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. /usr/local/lib/python3.10/site-packages/gradio/components/chatbot.py:284: UserWarning: You have not specified a value for the `type` parameter. Defaulting to the 'tuples' format for chatbot messages, but this is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead, which uses openai-style dictionaries with 'role' and 'content' keys. warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 102, in <module> user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style( AttributeError: 'Textbox' object has no attribute 'style'. Did you mean: 'scale'?

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