runtime error

tokenizer_config.json: 0%| | 0.00/1.29k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.29k/1.29k [00:00<00:00, 5.99MB/s] tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 88.1MB/s] tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 9.71MB/s] special_tokens_map.json: 0%| | 0.00/551 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 551/551 [00:00<00:00, 3.04MB/s] config.json: 0%| | 0.00/608 [00:00<?, ?B/s] config.json: 100%|██████████| 608/608 [00:00<00:00, 3.59MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 126, in <module> init_llm() File "/home/user/app/app.py", line 34, in init_llm LLM = TinyLlama() File "/home/user/app/llms/tiny_llama.py", line 10, in __init__ self.model = AutoModelForCausalLM.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 566, in from_pretrained return model_class.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3030, in from_pretrained raise RuntimeError("No GPU found. A GPU is needed for quantization.") RuntimeError: No GPU found. A GPU is needed for quantization.

Container logs: