2024-02-28 20:47:41.945061: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-02-28 20:47:41.945063: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-02-28 20:47:41.960872: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-02-28 20:47:41.980750: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-02-28 20:47:42.161791: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-02-28 20:47:42.161789: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-02-28 20:47:42.161790: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-02-28 20:47:42.188562: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-02-28 20:47:42.914412: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.914824: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.914834: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 2024-02-28 20:47:42.959699: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.959798: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.959807: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 2024-02-28 20:47:42.967992: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.968086: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:42.968095: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 2024-02-28 20:47:43.042980: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:43.043082: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-11.0/lib64:/usr/local/cuda-11.0/lib64 2024-02-28 20:47:43.043089: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. xFormers not available xFormers not available xFormers not available xFormers not available xFormers not available xFormers not available xFormers not available xFormers not available You are using a model of type llama to instantiate a model of type locllm. This is not supported for all configurations of models and can yield errors. You are using a model of type llama to instantiate a model of type locllm. This is not supported for all configurations of models and can yield errors. You are using a model of type llama to instantiate a model of type locllm. This is not supported for all configurations of models and can yield errors. You are using a model of type llama to instantiate a model of type locllm. This is not supported for all configurations of models and can yield errors. dino init: _IncompatibleKeys(missing_keys=['blocks.0.attn.lora_A_v', 'blocks.0.attn.lora_B_v', 'blocks.0.attn.lora_A_q', 'blocks.0.attn.lora_B_q', 'blocks.1.attn.lora_A_v', 'blocks.1.attn.lora_B_v', 'blocks.1.attn.lora_A_q', 'blocks.1.attn.lora_B_q', 'blocks.2.attn.lora_A_v', 'blocks.2.attn.lora_B_v', 'blocks.2.attn.lora_A_q', 'blocks.2.attn.lora_B_q', 'blocks.3.attn.lora_A_v', 'blocks.3.attn.lora_B_v', 'blocks.3.attn.lora_A_q', 'blocks.3.attn.lora_B_q', 'blocks.4.attn.lora_A_v', 'blocks.4.attn.lora_B_v', 'blocks.4.attn.lora_A_q', 'blocks.4.attn.lora_B_q', 'blocks.5.attn.lora_A_v', 'blocks.5.attn.lora_B_v', 'blocks.5.attn.lora_A_q', 'blocks.5.attn.lora_B_q', 'blocks.6.attn.lora_A_v', 'blocks.6.attn.lora_B_v', 'blocks.6.attn.lora_A_q', 'blocks.6.attn.lora_B_q', 'blocks.7.attn.lora_A_v', 'blocks.7.attn.lora_B_v', 'blocks.7.attn.lora_A_q', 'blocks.7.attn.lora_B_q', 'blocks.8.attn.lora_A_v', 'blocks.8.attn.lora_B_v', 'blocks.8.attn.lora_A_q', 'blocks.8.attn.lora_B_q', 'blocks.9.attn.lora_A_v', 'blocks.9.attn.lora_B_v', 'blocks.9.attn.lora_A_q', 'blocks.9.attn.lora_B_q', 'blocks.10.attn.lora_A_v', 'blocks.10.attn.lora_B_v', 'blocks.10.attn.lora_A_q', 'blocks.10.attn.lora_B_q', 'blocks.11.attn.lora_A_v', 'blocks.11.attn.lora_B_v', 'blocks.11.attn.lora_A_q', 'blocks.11.attn.lora_B_q', 'blocks.12.attn.lora_A_v', 'blocks.12.attn.lora_B_v', 'blocks.12.attn.lora_A_q', 'blocks.12.attn.lora_B_q', 'blocks.13.attn.lora_A_v', 'blocks.13.attn.lora_B_v', 'blocks.13.attn.lora_A_q', 'blocks.13.attn.lora_B_q', 'blocks.14.attn.lora_A_v', 'blocks.14.attn.lora_B_v', 'blocks.14.attn.lora_A_q', 'blocks.14.attn.lora_B_q', 'blocks.15.attn.lora_A_v', 'blocks.15.attn.lora_B_v', 'blocks.15.attn.lora_A_q', 'blocks.15.attn.lora_B_q', 'blocks.16.attn.lora_A_v', 'blocks.16.attn.lora_B_v', 'blocks.16.attn.lora_A_q', 'blocks.16.attn.lora_B_q', 'blocks.17.attn.lora_A_v', 'blocks.17.attn.lora_B_v', 'blocks.17.attn.lora_A_q', 'blocks.17.attn.lora_B_q', 'blocks.18.attn.lora_A_v', 'blocks.18.attn.lora_B_v', 'blocks.18.attn.lora_A_q', 'blocks.18.attn.lora_B_q', 'blocks.19.attn.lora_A_v', 'blocks.19.attn.lora_B_v', 'blocks.19.attn.lora_A_q', 'blocks.19.attn.lora_B_q', 'blocks.20.attn.lora_A_v', 'blocks.20.attn.lora_B_v', 'blocks.20.attn.lora_A_q', 'blocks.20.attn.lora_B_q', 'blocks.21.attn.lora_A_v', 'blocks.21.attn.lora_B_v', 'blocks.21.attn.lora_A_q', 'blocks.21.attn.lora_B_q', 'blocks.22.attn.lora_A_v', 'blocks.22.attn.lora_B_v', 'blocks.22.attn.lora_A_q', 'blocks.22.attn.lora_B_q', 'blocks.23.attn.lora_A_v', 'blocks.23.attn.lora_B_v', 'blocks.23.attn.lora_A_q', 'blocks.23.attn.lora_B_q'], unexpected_keys=[]) dino init: _IncompatibleKeys(missing_keys=['blocks.0.attn.lora_A_v', 'blocks.0.attn.lora_B_v', 'blocks.0.attn.lora_A_q', 'blocks.0.attn.lora_B_q', 'blocks.1.attn.lora_A_v', 'blocks.1.attn.lora_B_v', 'blocks.1.attn.lora_A_q', 'blocks.1.attn.lora_B_q', 'blocks.2.attn.lora_A_v', 'blocks.2.attn.lora_B_v', 'blocks.2.attn.lora_A_q', 'blocks.2.attn.lora_B_q', 'blocks.3.attn.lora_A_v', 'blocks.3.attn.lora_B_v', 'blocks.3.attn.lora_A_q', 'blocks.3.attn.lora_B_q', 'blocks.4.attn.lora_A_v', 'blocks.4.attn.lora_B_v', 'blocks.4.attn.lora_A_q', 'blocks.4.attn.lora_B_q', 'blocks.5.attn.lora_A_v', 'blocks.5.attn.lora_B_v', 'blocks.5.attn.lora_A_q', 'blocks.5.attn.lora_B_q', 'blocks.6.attn.lora_A_v', 'blocks.6.attn.lora_B_v', 'blocks.6.attn.lora_A_q', 'blocks.6.attn.lora_B_q', 'blocks.7.attn.lora_A_v', 'blocks.7.attn.lora_B_v', 'blocks.7.attn.lora_A_q', 'blocks.7.attn.lora_B_q', 'blocks.8.attn.lora_A_v', 'blocks.8.attn.lora_B_v', 'blocks.8.attn.lora_A_q', 'blocks.8.attn.lora_B_q', 'blocks.9.attn.lora_A_v', 'blocks.9.attn.lora_B_v', 'blocks.9.attn.lora_A_q', 'blocks.9.attn.lora_B_q', 'blocks.10.attn.lora_A_v', 'blocks.10.attn.lora_B_v', 'blocks.10.attn.lora_A_q', 'blocks.10.attn.lora_B_q', 'blocks.11.attn.lora_A_v', 'blocks.11.attn.lora_B_v', 'blocks.11.attn.lora_A_q', 'blocks.11.attn.lora_B_q', 'blocks.12.attn.lora_A_v', 'blocks.12.attn.lora_B_v', 'blocks.12.attn.lora_A_q', 'blocks.12.attn.lora_B_q', 'blocks.13.attn.lora_A_v', 'blocks.13.attn.lora_B_v', 'blocks.13.attn.lora_A_q', 'blocks.13.attn.lora_B_q', 'blocks.14.attn.lora_A_v', 'blocks.14.attn.lora_B_v', 'blocks.14.attn.lora_A_q', 'blocks.14.attn.lora_B_q', 'blocks.15.attn.lora_A_v', 'blocks.15.attn.lora_B_v', 'blocks.15.attn.lora_A_q', 'blocks.15.attn.lora_B_q', 'blocks.16.attn.lora_A_v', 'blocks.16.attn.lora_B_v', 'blocks.16.attn.lora_A_q', 'blocks.16.attn.lora_B_q', 'blocks.17.attn.lora_A_v', 'blocks.17.attn.lora_B_v', 'blocks.17.attn.lora_A_q', 'blocks.17.attn.lora_B_q', 'blocks.18.attn.lora_A_v', 'blocks.18.attn.lora_B_v', 'blocks.18.attn.lora_A_q', 'blocks.18.attn.lora_B_q', 'blocks.19.attn.lora_A_v', 'blocks.19.attn.lora_B_v', 'blocks.19.attn.lora_A_q', 'blocks.19.attn.lora_B_q', 'blocks.20.attn.lora_A_v', 'blocks.20.attn.lora_B_v', 'blocks.20.attn.lora_A_q', 'blocks.20.attn.lora_B_q', 'blocks.21.attn.lora_A_v', 'blocks.21.attn.lora_B_v', 'blocks.21.attn.lora_A_q', 'blocks.21.attn.lora_B_q', 'blocks.22.attn.lora_A_v', 'blocks.22.attn.lora_B_v', 'blocks.22.attn.lora_A_q', 'blocks.22.attn.lora_B_q', 'blocks.23.attn.lora_A_v', 'blocks.23.attn.lora_B_v', 'blocks.23.attn.lora_A_q', 'blocks.23.attn.lora_B_q'], unexpected_keys=[]) dino init: _IncompatibleKeys(missing_keys=['blocks.0.attn.lora_A_v', 'blocks.0.attn.lora_B_v', 'blocks.0.attn.lora_A_q', 'blocks.0.attn.lora_B_q', 'blocks.1.attn.lora_A_v', 'blocks.1.attn.lora_B_v', 'blocks.1.attn.lora_A_q', 'blocks.1.attn.lora_B_q', 'blocks.2.attn.lora_A_v', 'blocks.2.attn.lora_B_v', 'blocks.2.attn.lora_A_q', 'blocks.2.attn.lora_B_q', 'blocks.3.attn.lora_A_v', 'blocks.3.attn.lora_B_v', 'blocks.3.attn.lora_A_q', 'blocks.3.attn.lora_B_q', 'blocks.4.attn.lora_A_v', 'blocks.4.attn.lora_B_v', 'blocks.4.attn.lora_A_q', 'blocks.4.attn.lora_B_q', 'blocks.5.attn.lora_A_v', 'blocks.5.attn.lora_B_v', 'blocks.5.attn.lora_A_q', 'blocks.5.attn.lora_B_q', 'blocks.6.attn.lora_A_v', 'blocks.6.attn.lora_B_v', 'blocks.6.attn.lora_A_q', 'blocks.6.attn.lora_B_q', 'blocks.7.attn.lora_A_v', 'blocks.7.attn.lora_B_v', 'blocks.7.attn.lora_A_q', 'blocks.7.attn.lora_B_q', 'blocks.8.attn.lora_A_v', 'blocks.8.attn.lora_B_v', 'blocks.8.attn.lora_A_q', 'blocks.8.attn.lora_B_q', 'blocks.9.attn.lora_A_v', 'blocks.9.attn.lora_B_v', 'blocks.9.attn.lora_A_q', 'blocks.9.attn.lora_B_q', 'blocks.10.attn.lora_A_v', 'blocks.10.attn.lora_B_v', 'blocks.10.attn.lora_A_q', 'blocks.10.attn.lora_B_q', 'blocks.11.attn.lora_A_v', 'blocks.11.attn.lora_B_v', 'blocks.11.attn.lora_A_q', 'blocks.11.attn.lora_B_q', 'blocks.12.attn.lora_A_v', 'blocks.12.attn.lora_B_v', 'blocks.12.attn.lora_A_q', 'blocks.12.attn.lora_B_q', 'blocks.13.attn.lora_A_v', 'blocks.13.attn.lora_B_v', 'blocks.13.attn.lora_A_q', 'blocks.13.attn.lora_B_q', 'blocks.14.attn.lora_A_v', 'blocks.14.attn.lora_B_v', 'blocks.14.attn.lora_A_q', 'blocks.14.attn.lora_B_q', 'blocks.15.attn.lora_A_v', 'blocks.15.attn.lora_B_v', 'blocks.15.attn.lora_A_q', 'blocks.15.attn.lora_B_q', 'blocks.16.attn.lora_A_v', 'blocks.16.attn.lora_B_v', 'blocks.16.attn.lora_A_q', 'blocks.16.attn.lora_B_q', 'blocks.17.attn.lora_A_v', 'blocks.17.attn.lora_B_v', 'blocks.17.attn.lora_A_q', 'blocks.17.attn.lora_B_q', 'blocks.18.attn.lora_A_v', 'blocks.18.attn.lora_B_v', 'blocks.18.attn.lora_A_q', 'blocks.18.attn.lora_B_q', 'blocks.19.attn.lora_A_v', 'blocks.19.attn.lora_B_v', 'blocks.19.attn.lora_A_q', 'blocks.19.attn.lora_B_q', 'blocks.20.attn.lora_A_v', 'blocks.20.attn.lora_B_v', 'blocks.20.attn.lora_A_q', 'blocks.20.attn.lora_B_q', 'blocks.21.attn.lora_A_v', 'blocks.21.attn.lora_B_v', 'blocks.21.attn.lora_A_q', 'blocks.21.attn.lora_B_q', 'blocks.22.attn.lora_A_v', 'blocks.22.attn.lora_B_v', 'blocks.22.attn.lora_A_q', 'blocks.22.attn.lora_B_q', 'blocks.23.attn.lora_A_v', 'blocks.23.attn.lora_B_v', 'blocks.23.attn.lora_A_q', 'blocks.23.attn.lora_B_q'], unexpected_keys=[]) dino init: _IncompatibleKeys(missing_keys=['blocks.0.attn.lora_A_v', 'blocks.0.attn.lora_B_v', 'blocks.0.attn.lora_A_q', 'blocks.0.attn.lora_B_q', 'blocks.1.attn.lora_A_v', 'blocks.1.attn.lora_B_v', 'blocks.1.attn.lora_A_q', 'blocks.1.attn.lora_B_q', 'blocks.2.attn.lora_A_v', 'blocks.2.attn.lora_B_v', 'blocks.2.attn.lora_A_q', 'blocks.2.attn.lora_B_q', 'blocks.3.attn.lora_A_v', 'blocks.3.attn.lora_B_v', 'blocks.3.attn.lora_A_q', 'blocks.3.attn.lora_B_q', 'blocks.4.attn.lora_A_v', 'blocks.4.attn.lora_B_v', 'blocks.4.attn.lora_A_q', 'blocks.4.attn.lora_B_q', 'blocks.5.attn.lora_A_v', 'blocks.5.attn.lora_B_v', 'blocks.5.attn.lora_A_q', 'blocks.5.attn.lora_B_q', 'blocks.6.attn.lora_A_v', 'blocks.6.attn.lora_B_v', 'blocks.6.attn.lora_A_q', 'blocks.6.attn.lora_B_q', 'blocks.7.attn.lora_A_v', 'blocks.7.attn.lora_B_v', 'blocks.7.attn.lora_A_q', 'blocks.7.attn.lora_B_q', 'blocks.8.attn.lora_A_v', 'blocks.8.attn.lora_B_v', 'blocks.8.attn.lora_A_q', 'blocks.8.attn.lora_B_q', 'blocks.9.attn.lora_A_v', 'blocks.9.attn.lora_B_v', 'blocks.9.attn.lora_A_q', 'blocks.9.attn.lora_B_q', 'blocks.10.attn.lora_A_v', 'blocks.10.attn.lora_B_v', 'blocks.10.attn.lora_A_q', 'blocks.10.attn.lora_B_q', 'blocks.11.attn.lora_A_v', 'blocks.11.attn.lora_B_v', 'blocks.11.attn.lora_A_q', 'blocks.11.attn.lora_B_q', 'blocks.12.attn.lora_A_v', 'blocks.12.attn.lora_B_v', 'blocks.12.attn.lora_A_q', 'blocks.12.attn.lora_B_q', 'blocks.13.attn.lora_A_v', 'blocks.13.attn.lora_B_v', 'blocks.13.attn.lora_A_q', 'blocks.13.attn.lora_B_q', 'blocks.14.attn.lora_A_v', 'blocks.14.attn.lora_B_v', 'blocks.14.attn.lora_A_q', 'blocks.14.attn.lora_B_q', 'blocks.15.attn.lora_A_v', 'blocks.15.attn.lora_B_v', 'blocks.15.attn.lora_A_q', 'blocks.15.attn.lora_B_q', 'blocks.16.attn.lora_A_v', 'blocks.16.attn.lora_B_v', 'blocks.16.attn.lora_A_q', 'blocks.16.attn.lora_B_q', 'blocks.17.attn.lora_A_v', 'blocks.17.attn.lora_B_v', 'blocks.17.attn.lora_A_q', 'blocks.17.attn.lora_B_q', 'blocks.18.attn.lora_A_v', 'blocks.18.attn.lora_B_v', 'blocks.18.attn.lora_A_q', 'blocks.18.attn.lora_B_q', 'blocks.19.attn.lora_A_v', 'blocks.19.attn.lora_B_v', 'blocks.19.attn.lora_A_q', 'blocks.19.attn.lora_B_q', 'blocks.20.attn.lora_A_v', 'blocks.20.attn.lora_B_v', 'blocks.20.attn.lora_A_q', 'blocks.20.attn.lora_B_q', 'blocks.21.attn.lora_A_v', 'blocks.21.attn.lora_B_v', 'blocks.21.attn.lora_A_q', 'blocks.21.attn.lora_B_q', 'blocks.22.attn.lora_A_v', 'blocks.22.attn.lora_B_v', 'blocks.22.attn.lora_A_q', 'blocks.22.attn.lora_B_q', 'blocks.23.attn.lora_A_v', 'blocks.23.attn.lora_B_v', 'blocks.23.attn.lora_A_q', 'blocks.23.attn.lora_B_q'], unexpected_keys=[]) Loading checkpoint shards: 0%| | 0/2 [00:00