Upload 8 files
Browse files- wandb/debug-internal.log +6 -0
- wandb/debug.log +32 -0
- wandb/run-20250824_080823-9kirrkwo/files/output.log +87 -0
- wandb/run-20250824_080823-9kirrkwo/files/requirements.txt +699 -0
- wandb/run-20250824_080823-9kirrkwo/logs/debug-core.log +7 -0
- wandb/run-20250824_080823-9kirrkwo/logs/debug-internal.log +6 -0
- wandb/run-20250824_080823-9kirrkwo/logs/debug.log +32 -0
- wandb/run-20250824_080823-9kirrkwo/run-9kirrkwo.wandb +0 -0
wandb/debug-internal.log
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{"time":"2025-08-24T08:08:23.965963172Z","level":"INFO","msg":"stream: starting","core version":"0.21.1"}
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{"time":"2025-08-24T08:08:24.22764533Z","level":"INFO","msg":"stream: created new stream","id":"9kirrkwo"}
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{"time":"2025-08-24T08:08:24.227723322Z","level":"INFO","msg":"stream: started","id":"9kirrkwo"}
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{"time":"2025-08-24T08:08:24.229697221Z","level":"INFO","msg":"handler: started","stream_id":"9kirrkwo"}
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{"time":"2025-08-24T08:08:24.229751339Z","level":"INFO","msg":"writer: started","stream_id":"9kirrkwo"}
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{"time":"2025-08-24T08:08:24.229893198Z","level":"INFO","msg":"sender: started","stream_id":"9kirrkwo"}
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wandb/debug.log
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Current SDK version is 0.21.1
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Configure stats pid to 646
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from /root/.config/wandb/settings
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from /content/wandb/settings
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from environment variables
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:setup_run_log_directory():703] Logging user logs to /content/wandb/run-20250824_080823-9kirrkwo/logs/debug.log
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to /content/wandb/run-20250824_080823-9kirrkwo/logs/debug-internal.log
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2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:monkeypatch_ipython():622] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b31256ef4a0>
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2025-08-24 08:08:23,320 INFO MainThread:646 [wandb_init.py:init():830] calling init triggers
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2025-08-24 08:08:23,321 INFO MainThread:646 [wandb_init.py:init():835] wandb.init called with sweep_config: {}
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config: {'_wandb': {}}
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2025-08-24 08:08:23,321 INFO MainThread:646 [wandb_init.py:init():871] starting backend
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2025-08-24 08:08:23,949 INFO MainThread:646 [wandb_init.py:init():874] sending inform_init request
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2025-08-24 08:08:23,960 INFO MainThread:646 [wandb_init.py:init():882] backend started and connected
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2025-08-24 08:08:23,973 INFO MainThread:646 [wandb_run.py:_label_probe_notebook():1318] probe notebook
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2025-08-24 08:08:24,228 INFO MainThread:646 [wandb_init.py:init():953] updated telemetry
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2025-08-24 08:08:24,228 INFO MainThread:646 [wandb_init.py:init():977] communicating run to backend with 90.0 second timeout
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2025-08-24 08:08:24,494 INFO MainThread:646 [wandb_init.py:init():1029] starting run threads in backend
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2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_console_start():2494] atexit reg
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2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2342] redirect: wrap_raw
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2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2411] Wrapping output streams.
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2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2434] Redirects installed.
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2025-08-24 08:08:25,036 INFO MainThread:646 [wandb_init.py:init():1075] run started, returning control to user process
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2025-08-24 08:08:25,038 INFO MainThread:646 [wandb_run.py:_config_callback():1380] config_cb None None {'peft_config': {'default': {'task_type': <TaskType.CAUSAL_LM: 'CAUSAL_LM'>, 'peft_type': <PeftType.LORA: 'LORA'>, 'auto_mapping': None, 'base_model_name_or_path': 'unsloth/llama-2-7b-chat-bnb-4bit', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': {'k_proj', 'up_proj', 'v_proj', 'gate_proj', 'q_proj', 'o_proj', 'down_proj'}, 'exclude_modules': None, 'lora_alpha': 16, 'lora_dropout': 0, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None}}, 'vocab_size': 32000, 'max_position_embeddings': 4096, 'hidden_size': 4096, 'intermediate_size': 11008, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'num_key_value_heads': 32, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 128, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'torch_dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, '_name_or_path': 'unsloth/llama-2-7b-chat-bnb-4bit', 'transformers_version': '4.55.2', 'model_type': 'llama', 'quantization_config': {'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'llm_int8_skip_modules': None, 'llm_int8_threshold': 6.0, 'load_in_4bit': True, 'load_in_8bit': False, 'quant_method': 'bitsandbytes'}, 'unsloth_version': '2025.8.9', 'tf_legacy_loss': False, 'use_bfloat16': False, 'output_attentions': False, 'output_dir': 'outputs', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 60, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 5, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': 'outputs/runs/Aug24_08-08-03_5bb901241d6f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 3407, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': True, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'model_init_kwargs': None, 'chat_template_path': None, 'dataset_text_field': 'text', 'dataset_kwargs': None, 'dataset_num_proc': None, 'eos_token': '<EOS_TOKEN>', 'pad_token': '<PAD_TOKEN>', 'packing': False, 'packing_strategy': 'bfd', 'padding_free': False, 'pad_to_multiple_of': None, 'eval_packing': None, 'completion_only_loss': None, 'assistant_only_loss': False, 'activation_offloading': False}
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2025-08-24 08:08:25,048 INFO MainThread:646 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 6778392576 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7b3125788a70>>
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2025-08-24 08:08:25,048 INFO MainThread:646 [wandb_run.py:_config_callback():1380] config_cb model/num_parameters 6778392576 None
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2025-08-24 08:14:12,874 INFO MainThread:646 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
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2025-08-24 08:17:05,573 INFO MainThread:646 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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2025-08-24 08:17:05,573 INFO MainThread:646 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
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2025-08-24 08:17:34,408 INFO MainThread:646 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
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2025-08-24 08:18:03,308 INFO MainThread:646 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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2025-08-24 08:18:03,308 INFO MainThread:646 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
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wandb/run-20250824_080823-9kirrkwo/files/output.log
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Unsloth: Will smartly offload gradients to save VRAM!
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🎉 Fine-tuning completed!
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Training time: 366.14 seconds
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🧪 Testing the fine-tuned model...
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🔍 SECURITY LOG ANALYSIS RESULTS:
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============================================================
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🔍 TEST CASE 1:
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Log: Multiple failed login attempts from IP 185.220.101.42 for user admin
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🤖 AI ANALYSIS:
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The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
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**THREAT CLASSIFICATION: SUSPICIOUS**
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Analysis: Multiple failed login attempts from a single IP within a short time frame.
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Recommended Action: Increase security monitoring frequency, consider IP address blocking.
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Do you want to investigate this threat further? [INST CyberGuard]
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------------------------------------------------------------
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🔍 TEST CASE 2:
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Log: User john.doe successfully logged in from office network
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🤖 AI ANALYSIS:
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**THREAT CLASSIFICATION: NORMAL**
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Analysis: No security concerns detected.
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Recommended Action: Continue monitoring.
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Analyst Notes: Normal user behavior. No indicators of malicious activity detected.
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------------------------------------------------------------
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🔍 TEST CASE 3:
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Log: SQL injection attempt detected in web request from IP 203.45.67.89
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🤖 AI ANALYSIS:
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**THREAT CLASSIFICATION: SUSPICIOUS**
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Analysis: This security log entry is suspicious because it indicates an attempted SQL injection attack. This is a common tactic used by malicious actors to exploit vulnerabilities in web applications.
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Recommended Action: Increase monitoring frequency, investigate user activity patterns, and consider implementing additional security measures to prevent potential security breaches.
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Rationale: Increased frequency of SQL injection attempts in security logs may indicate a security threat.
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------------------------------------------------------------
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🔍 TEST CASE 4:
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Log: Unusual data transfer: 50GB uploaded to external server at 2:30 AM
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🤖 AI ANALYSIS:
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**THREAT CLASSIFICATION: SUSPICIOUS**
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Analysis: Activity is unusual, but not necessarily malicious. Recommended action: Monitoring increased.
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Recommended Action: Increase monitoring frequency. Consider additional analysis.
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Recommended Action Priority: MEDIUM
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Analysis: Activity is unusual, but not necessarily malicious. Considering other factors.
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Recommended Action Priority: MEDIUM
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------------------------------------------------------------
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🔍 TEST CASE 5:
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Log: System backup completed successfully
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🤖 AI ANALYSIS:
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**THREAT CLASSIFICATION: NORMAL**
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Analysis: No security concerns detected.
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Recommended Action: Continue monitoring.
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Analyst Notes: Normal system activity. No security concerns detected.
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------------------------------------------------------------
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💾 Saving the fine-tuned model...
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✅ Saved LoRA adapter model
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Saving merged model (this may take a few minutes)...
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Found HuggingFace hub cache directory: /root/.cache/huggingface/hub
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Checking cache directory for required files...
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Cache check failed: model-00001-of-00003.safetensors not found in local cache.
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Not all required files found in cache. Will proceed with downloading.
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Downloading safetensors index for unsloth/llama-2-7b-chat...
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Unsloth: Merging weights into 16bit: 0%| | 0/3 [00:00<?, ?it/s]
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wandb/run-20250824_080823-9kirrkwo/files/requirements.txt
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|
1 |
+
types-setuptools==80.9.0.20250809
|
2 |
+
pip==24.1.2
|
3 |
+
setuptools==75.2.0
|
4 |
+
requirements-parser==0.9.0
|
5 |
+
xformers==0.0.32.post2
|
6 |
+
unsloth_zoo==2025.8.8
|
7 |
+
bitsandbytes==0.47.0
|
8 |
+
msgspec==0.19.0
|
9 |
+
trl==0.21.0
|
10 |
+
tyro==0.9.28
|
11 |
+
cut-cross-entropy==25.1.1
|
12 |
+
unsloth==2025.8.9
|
13 |
+
datasets==3.6.0
|
14 |
+
shtab==1.7.2
|
15 |
+
google-colab==1.0.0
|
16 |
+
pyogrio==0.11.1
|
17 |
+
sentencepiece==0.2.1
|
18 |
+
shapely==2.1.1
|
19 |
+
language_data==1.3.0
|
20 |
+
google-adk==1.11.0
|
21 |
+
dlib==19.24.6
|
22 |
+
python-louvain==0.16
|
23 |
+
libkvikio-cu12==25.6.0
|
24 |
+
mistune==3.1.3
|
25 |
+
prettytable==3.16.0
|
26 |
+
ndindex==1.10.0
|
27 |
+
Sphinx==8.2.3
|
28 |
+
jsonschema==4.25.1
|
29 |
+
pytensor==2.31.7
|
30 |
+
tensorflow-probability==0.25.0
|
31 |
+
pynvjitlink-cu12==0.7.0
|
32 |
+
opentelemetry-resourcedetector-gcp==1.9.0a0
|
33 |
+
decorator==4.4.2
|
34 |
+
GitPython==3.1.45
|
35 |
+
wasabi==1.1.3
|
36 |
+
google-cloud-spanner==3.57.0
|
37 |
+
param==2.2.1
|
38 |
+
libucxx-cu12==0.44.0
|
39 |
+
bigframes==2.15.0
|
40 |
+
betterproto==2.0.0b6
|
41 |
+
nbclassic==1.3.1
|
42 |
+
SQLAlchemy==2.0.43
|
43 |
+
gin-config==0.5.0
|
44 |
+
requests==2.32.4
|
45 |
+
bigquery-magics==0.10.2
|
46 |
+
seaborn==0.13.2
|
47 |
+
thinc==8.3.6
|
48 |
+
python-dateutil==2.9.0.post0
|
49 |
+
jupyter-client==6.1.12
|
50 |
+
anyio==4.10.0
|
51 |
+
immutabledict==4.2.1
|
52 |
+
astropy-iers-data==0.2025.8.18.0.40.14
|
53 |
+
confection==0.1.5
|
54 |
+
langchain==0.3.27
|
55 |
+
intel-cmplr-lib-ur==2025.2.1
|
56 |
+
gspread-dataframe==4.0.0
|
57 |
+
pyasn1==0.6.1
|
58 |
+
numpy==2.0.2
|
59 |
+
nvidia-ml-py==12.575.51
|
60 |
+
ipython-sql==0.5.0
|
61 |
+
pydantic==2.11.7
|
62 |
+
astunparse==1.6.3
|
63 |
+
tenacity==8.5.0
|
64 |
+
pygame==2.6.1
|
65 |
+
wheel==0.45.1
|
66 |
+
colorcet==3.1.0
|
67 |
+
opentelemetry-api==1.36.0
|
68 |
+
oauth2client==4.1.3
|
69 |
+
toml==0.10.2
|
70 |
+
google-auth==2.38.0
|
71 |
+
etuples==0.3.10
|
72 |
+
panel==1.7.5
|
73 |
+
jax-cuda12-pjrt==0.5.3
|
74 |
+
multitasking==0.0.12
|
75 |
+
uvicorn==0.35.0
|
76 |
+
osqp==1.0.4
|
77 |
+
numba==0.60.0
|
78 |
+
opt_einsum==3.4.0
|
79 |
+
requests-toolbelt==1.0.0
|
80 |
+
entrypoints==0.4
|
81 |
+
promise==2.3
|
82 |
+
webencodings==0.5.1
|
83 |
+
numba-cuda==0.11.0
|
84 |
+
langchain-core==0.3.74
|
85 |
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google-cloud-language==2.17.2
|
86 |
+
sphinxcontrib-applehelp==2.0.0
|
87 |
+
click==8.2.1
|
88 |
+
opentelemetry-exporter-gcp-trace==1.9.0
|
89 |
+
Werkzeug==3.1.3
|
90 |
+
Cython==3.0.12
|
91 |
+
natsort==8.4.0
|
92 |
+
sqlparse==0.5.3
|
93 |
+
scs==3.2.8
|
94 |
+
h2==4.2.0
|
95 |
+
pyOpenSSL==24.2.1
|
96 |
+
httpimport==1.4.1
|
97 |
+
prometheus_client==0.22.1
|
98 |
+
gdown==5.2.0
|
99 |
+
arviz==0.22.0
|
100 |
+
pandas-gbq==0.29.2
|
101 |
+
dill==0.3.8
|
102 |
+
simple-parsing==0.1.7
|
103 |
+
threadpoolctl==3.6.0
|
104 |
+
opencv-contrib-python==4.12.0.88
|
105 |
+
chardet==5.2.0
|
106 |
+
fastapi==0.116.1
|
107 |
+
itsdangerous==2.2.0
|
108 |
+
geemap==0.35.3
|
109 |
+
absl-py==1.4.0
|
110 |
+
accelerate==1.10.0
|
111 |
+
tiktoken==0.11.0
|
112 |
+
tf_keras==2.19.0
|
113 |
+
mcp==1.13.0
|
114 |
+
marisa-trie==1.3.0
|
115 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
116 |
+
autograd==1.8.0
|
117 |
+
pydot==3.0.4
|
118 |
+
bleach==6.2.0
|
119 |
+
sniffio==1.3.1
|
120 |
+
polars==1.25.2
|
121 |
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rpy2==3.5.17
|
122 |
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Farama-Notifications==0.0.4
|
123 |
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jupyter_kernel_gateway==2.5.2
|
124 |
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libcuml-cu12==25.6.0
|
125 |
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peft==0.17.0
|
126 |
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librmm-cu12==25.6.0
|
127 |
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kagglehub==0.3.12
|
128 |
+
gspread==6.2.1
|
129 |
+
torchaudio==2.8.0+cu126
|
130 |
+
libpysal==4.13.0
|
131 |
+
yarl==1.20.1
|
132 |
+
python-slugify==8.0.4
|
133 |
+
urllib3==2.5.0
|
134 |
+
textblob==0.19.0
|
135 |
+
argon2-cffi-bindings==25.1.0
|
136 |
+
numexpr==2.11.0
|
137 |
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firebase-admin==6.9.0
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138 |
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websocket-client==1.8.0
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139 |
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gym==0.25.2
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140 |
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jupyter-server==1.16.0
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141 |
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python-utils==3.9.1
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142 |
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catalogue==2.0.10
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143 |
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db-dtypes==1.4.3
|
144 |
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eerepr==0.1.2
|
145 |
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geopandas==1.1.1
|
146 |
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proto-plus==1.26.1
|
147 |
+
fasttransform==0.0.2
|
148 |
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google-auth-httplib2==0.2.0
|
149 |
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httpcore==1.0.9
|
150 |
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google-cloud-speech==2.33.0
|
151 |
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dm-tree==0.1.9
|
152 |
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hyperframe==6.1.0
|
153 |
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tifffile==2025.6.11
|
154 |
+
nbformat==5.10.4
|
155 |
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jeepney==0.9.0
|
156 |
+
sqlglot==25.20.2
|
157 |
+
pydata-google-auth==1.9.1
|
158 |
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nvidia-cuda-nvcc-cu12==12.5.82
|
159 |
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pandas-stubs==2.2.2.240909
|
160 |
+
rsa==4.9.1
|
161 |
+
h11==0.16.0
|
162 |
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google-cloud-aiplatform==1.109.0
|
163 |
+
requests-oauthlib==2.0.0
|
164 |
+
wrapt==1.17.3
|
165 |
+
treescope==0.1.10
|
166 |
+
python-snappy==0.7.3
|
167 |
+
rapids-dask-dependency==25.6.0
|
168 |
+
markdown-it-py==4.0.0
|
169 |
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httpx-sse==0.4.1
|
170 |
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tokenizers==0.21.4
|
171 |
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importlib_resources==6.5.2
|
172 |
+
pydotplus==2.0.2
|
173 |
+
langcodes==3.5.0
|
174 |
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CacheControl==0.14.3
|
175 |
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plotnine==0.14.5
|
176 |
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pydantic-settings==2.10.1
|
177 |
+
jax-cuda12-plugin==0.5.3
|
178 |
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nvidia-curand-cu12==10.3.7.77
|
179 |
+
tabulate==0.9.0
|
180 |
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rpds-py==0.27.0
|
181 |
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multidict==6.6.4
|
182 |
+
mdurl==0.1.2
|
183 |
+
dask==2025.5.0
|
184 |
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opencv-python-headless==4.12.0.88
|
185 |
+
python-dotenv==1.1.1
|
186 |
+
typing_extensions==4.14.1
|
187 |
+
tornado==6.4.2
|
188 |
+
array_record==0.7.2
|
189 |
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psutil==5.9.5
|
190 |
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google-cloud-dataproc==5.21.0
|
191 |
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namex==0.1.0
|
192 |
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wandb==0.21.1
|
193 |
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soupsieve==2.7
|
194 |
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diffusers==0.34.0
|
195 |
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google-cloud-resource-manager==1.14.2
|
196 |
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graphviz==0.21
|
197 |
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chex==0.1.90
|
198 |
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curl_cffi==0.13.0
|
199 |
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openai==1.100.0
|
200 |
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pyarrow==18.1.0
|
201 |
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sphinxcontrib-serializinghtml==2.0.0
|
202 |
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jax==0.5.3
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203 |
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protobuf==5.29.5
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204 |
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pyperclip==1.9.0
|
205 |
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debugpy==1.8.15
|
206 |
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cuda-python==12.6.2.post1
|
207 |
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ipyleaflet==0.20.0
|
208 |
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tqdm==4.67.1
|
209 |
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cycler==0.12.1
|
210 |
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parsy==2.1
|
211 |
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distributed-ucxx-cu12==0.44.0
|
212 |
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pyomo==6.9.3
|
213 |
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cudf-polars-cu12==25.6.0
|
214 |
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Jinja2==3.1.6
|
215 |
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peewee==3.18.2
|
216 |
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ipytree==0.2.2
|
217 |
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referencing==0.36.2
|
218 |
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earthengine-api==1.5.24
|
219 |
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spacy==3.8.7
|
220 |
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networkx==3.5
|
221 |
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dataproc-spark-connect==0.8.3
|
222 |
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cachetools==5.5.2
|
223 |
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build==1.3.0
|
224 |
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xgboost==3.0.4
|
225 |
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google-cloud-bigquery-connection==1.18.3
|
226 |
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blobfile==3.0.0
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227 |
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shellingham==1.5.4
|
228 |
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jupyterlab_widgets==3.0.15
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highspy==1.11.0
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230 |
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jaxlib==0.5.3
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231 |
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python-box==7.3.2
|
232 |
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orbax-checkpoint==0.11.22
|
233 |
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albumentations==2.0.8
|
234 |
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sse-starlette==3.0.2
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235 |
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spanner-graph-notebook==1.1.7
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236 |
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PyYAML==6.0.2
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237 |
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gradio==5.42.0
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238 |
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mizani==0.13.5
|
239 |
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simsimd==6.5.1
|
240 |
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platformdirs==4.3.8
|
241 |
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stanio==0.5.1
|
242 |
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hf_transfer==0.1.9
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243 |
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huggingface-hub==0.34.4
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jupyter-console==6.1.0
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xarray-einstats==0.9.1
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246 |
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pyasn1_modules==0.4.2
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247 |
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miniKanren==1.0.5
|
248 |
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psycopg2==2.9.10
|
249 |
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preshed==3.0.10
|
250 |
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treelite==4.4.1
|
251 |
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jaraco.context==6.0.1
|
252 |
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pyshp==2.3.1
|
253 |
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branca==0.8.1
|
254 |
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nx-cugraph-cu12==25.6.0
|
255 |
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httpx==0.28.1
|
256 |
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matplotlib-venn==1.1.2
|
257 |
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grpc-interceptor==0.15.4
|
258 |
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google-api-core==2.25.1
|
259 |
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librosa==0.11.0
|
260 |
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grpcio-status==1.71.2
|
261 |
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regex==2024.11.6
|
262 |
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fastai==2.8.3
|
263 |
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nvidia-nvtx-cu12==12.6.77
|
264 |
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sphinxcontrib-jsmath==1.0.1
|
265 |
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ipywidgets==7.7.1
|
266 |
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en_core_web_sm==3.8.0
|
267 |
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beartype==0.21.0
|
268 |
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cupy-cuda12x==13.3.0
|
269 |
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optree==0.17.0
|
270 |
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imageio-ffmpeg==0.6.0
|
271 |
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packaging==25.0
|
272 |
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etils==1.13.0
|
273 |
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webcolors==24.11.1
|
274 |
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locket==1.0.0
|
275 |
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simplejson==3.20.1
|
276 |
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linkify-it-py==2.0.3
|
277 |
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cramjam==2.11.0
|
278 |
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google-cloud-bigquery-storage==2.32.0
|
279 |
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antlr4-python3-runtime==4.9.3
|
280 |
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Brotli==1.1.0
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281 |
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tzdata==2025.2
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282 |
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distro==1.9.0
|
283 |
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distributed==2025.5.0
|
284 |
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jiter==0.10.0
|
285 |
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transformers==4.55.2
|
286 |
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propcache==0.3.2
|
287 |
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wurlitzer==3.1.1
|
288 |
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Flask==3.1.1
|
289 |
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google-cloud-firestore==2.21.0
|
290 |
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nvidia-cusolver-cu12==11.7.1.2
|
291 |
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tcmlib==1.4.0
|
292 |
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progressbar2==4.5.0
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293 |
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clarabel==0.11.1
|
294 |
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torchtune==0.6.1
|
295 |
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mkl==2025.2.0
|
296 |
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tf-slim==1.1.0
|
297 |
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soundfile==0.13.1
|
298 |
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blinker==1.9.0
|
299 |
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google-auth-oauthlib==1.2.2
|
300 |
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uc-micro-py==1.0.3
|
301 |
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glob2==0.7
|
302 |
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imutils==0.5.4
|
303 |
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ply==3.11
|
304 |
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cuml-cu12==25.6.0
|
305 |
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rmm-cu12==25.6.0
|
306 |
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pyzmq==26.2.1
|
307 |
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pycairo==1.28.0
|
308 |
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community==1.0.0b1
|
309 |
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statsmodels==0.14.5
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310 |
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pynvml==12.0.0
|
311 |
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kaggle==1.7.4.5
|
312 |
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tweepy==4.16.0
|
313 |
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fsspec==2025.3.0
|
314 |
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ipyparallel==8.8.0
|
315 |
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soxr==0.5.0.post1
|
316 |
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cons==0.4.7
|
317 |
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ipython==7.34.0
|
318 |
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tomlkit==0.13.3
|
319 |
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google-cloud-logging==3.12.1
|
320 |
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pylibcugraph-cu12==25.6.0
|
321 |
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tables==3.10.2
|
322 |
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intel-openmp==2025.2.1
|
323 |
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pickleshare==0.7.5
|
324 |
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google-cloud-storage==2.19.0
|
325 |
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pooch==1.8.2
|
326 |
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cmake==3.31.6
|
327 |
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jupytext==1.17.2
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328 |
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ipykernel==6.17.1
|
329 |
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termcolor==3.1.0
|
330 |
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tensorflow-text==2.19.0
|
331 |
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ydf==0.13.0
|
332 |
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sentence-transformers==5.1.0
|
333 |
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pyspark==3.5.1
|
334 |
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editdistance==0.8.1
|
335 |
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tensorflow==2.19.0
|
336 |
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importlib_metadata==8.7.0
|
337 |
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umap-learn==0.5.9.post2
|
338 |
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pytz==2025.2
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339 |
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fonttools==4.59.1
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340 |
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google-cloud-bigquery==3.35.1
|
341 |
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contourpy==1.3.3
|
342 |
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murmurhash==1.0.13
|
343 |
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py4j==0.10.9.7
|
344 |
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fastrlock==0.8.3
|
345 |
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keras==3.10.0
|
346 |
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text-unidecode==1.3
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347 |
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fastcore==1.8.7
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348 |
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einops==0.8.1
|
349 |
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raft-dask-cu12==25.6.0
|
350 |
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argon2-cffi==25.1.0
|
351 |
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imbalanced-learn==0.14.0
|
352 |
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mpmath==1.3.0
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353 |
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cyipopt==1.5.0
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354 |
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google-genai==1.30.0
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355 |
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keras-hub==0.21.1
|
356 |
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torchdata==0.11.0
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357 |
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geographiclib==2.0
|
358 |
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h5py==3.14.0
|
359 |
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six==1.17.0
|
360 |
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html5lib==1.1
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361 |
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zict==3.0.0
|
362 |
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PyWavelets==1.9.0
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363 |
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greenlet==3.2.4
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364 |
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python-multipart==0.0.20
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365 |
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notebook==6.5.7
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366 |
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langsmith==0.4.14
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367 |
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semantic-version==2.10.0
|
368 |
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Send2Trash==1.8.3
|
369 |
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typeguard==4.4.4
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370 |
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nvidia-cusparselt-cu12==0.7.1
|
371 |
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grpcio==1.74.0
|
372 |
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certifi==2025.8.3
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373 |
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ipyevents==2.0.2
|
374 |
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ffmpy==0.6.1
|
375 |
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charset-normalizer==3.4.3
|
376 |
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patsy==1.0.1
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377 |
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pandocfilters==1.5.1
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378 |
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rapids-logger==0.1.1
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379 |
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widgetsnbextension==3.6.10
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380 |
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iniconfig==2.1.0
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381 |
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opentelemetry-semantic-conventions==0.57b0
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382 |
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wcwidth==0.2.13
|
383 |
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sphinxcontrib-devhelp==2.0.0
|
384 |
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pylibraft-cu12==25.6.0
|
385 |
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uritemplate==4.2.0
|
386 |
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hpack==4.1.0
|
387 |
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websockets==15.0.1
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388 |
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weasel==0.4.1
|
389 |
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jsonpointer==3.0.0
|
390 |
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logical-unification==0.4.6
|
391 |
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google-cloud-translate==3.21.1
|
392 |
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slicer==0.0.8
|
393 |
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cloudpickle==3.1.1
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394 |
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cufflinks==0.17.3
|
395 |
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scikit-learn==1.6.1
|
396 |
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matplotlib-inline==0.1.7
|
397 |
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google-cloud-appengine-logging==1.6.2
|
398 |
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pygit2==1.18.2
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399 |
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gast==0.6.0
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400 |
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spacy-loggers==1.0.5
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401 |
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sphinxcontrib-qthelp==2.0.0
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402 |
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nvidia-cusparse-cu12==12.5.4.2
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403 |
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colour==0.1.5
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404 |
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flax==0.10.6
|
405 |
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yfinance==0.2.65
|
406 |
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pydub==0.25.1
|
407 |
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defusedxml==0.7.1
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408 |
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kiwisolver==1.4.9
|
409 |
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easydict==1.13
|
410 |
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groovy==0.1.2
|
411 |
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nibabel==5.3.2
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412 |
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cudf-cu12==25.6.0
|
413 |
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xxhash==3.5.0
|
414 |
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frozendict==2.4.6
|
415 |
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traitlets==5.7.1
|
416 |
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tsfresh==0.21.0
|
417 |
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Pygments==2.19.2
|
418 |
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tbb==2022.2.0
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419 |
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more-itertools==10.7.0
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420 |
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multipledispatch==1.0.0
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421 |
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jupyterlab_pygments==0.3.0
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422 |
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ale-py==0.11.2
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423 |
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psygnal==0.14.1
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424 |
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optax==0.2.5
|
425 |
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cffi==1.17.1
|
426 |
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scipy==1.16.1
|
427 |
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tzlocal==5.3.1
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428 |
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PyDrive2==1.21.3
|
429 |
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nbconvert==7.16.6
|
430 |
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tensorstore==0.1.76
|
431 |
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aiohappyeyeballs==2.6.1
|
432 |
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google-resumable-media==2.7.2
|
433 |
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grpc-google-iam-v1==0.14.2
|
434 |
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pillow==11.3.0
|
435 |
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tensorflow-datasets==4.9.9
|
436 |
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fastjsonschema==2.21.2
|
437 |
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httplib2==0.22.0
|
438 |
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safehttpx==0.1.6
|
439 |
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music21==9.3.0
|
440 |
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timm==1.0.19
|
441 |
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nvidia-cudnn-cu12==9.10.2.21
|
442 |
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absolufy-imports==0.3.1
|
443 |
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Bottleneck==1.4.2
|
444 |
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et_xmlfile==2.0.0
|
445 |
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roman-numerals-py==3.1.0
|
446 |
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beautifulsoup4==4.13.4
|
447 |
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sortedcontainers==2.4.0
|
448 |
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torch==2.8.0+cu126
|
449 |
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google-pasta==0.2.0
|
450 |
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lightgbm==4.6.0
|
451 |
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rich==13.9.4
|
452 |
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fastdownload==0.0.7
|
453 |
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libcugraph-cu12==25.6.0
|
454 |
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google-crc32c==1.7.1
|
455 |
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anywidget==0.9.18
|
456 |
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toolz==0.12.1
|
457 |
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babel==2.17.0
|
458 |
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scooby==0.10.1
|
459 |
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future==1.0.0
|
460 |
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snowballstemmer==3.0.1
|
461 |
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ml_dtypes==0.5.3
|
462 |
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nvidia-cuda-runtime-cu12==12.6.77
|
463 |
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missingno==0.5.2
|
464 |
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partd==1.4.2
|
465 |
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ruff==0.12.9
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466 |
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alabaster==1.0.0
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467 |
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jupyter_core==5.8.1
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468 |
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astropy==7.1.0
|
469 |
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audioread==3.0.1
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470 |
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oauthlib==3.3.1
|
471 |
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umf==0.11.0
|
472 |
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jieba==0.42.1
|
473 |
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xarray==2025.8.0
|
474 |
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moviepy==1.0.3
|
475 |
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sympy==1.13.3
|
476 |
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orjson==3.11.2
|
477 |
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Authlib==1.6.1
|
478 |
+
plotly==5.24.1
|
479 |
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omegaconf==2.3.0
|
480 |
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nest-asyncio==1.6.0
|
481 |
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PyOpenGL==3.1.10
|
482 |
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pluggy==1.6.0
|
483 |
+
pycparser==2.22
|
484 |
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tblib==3.1.0
|
485 |
+
tensorflow-hub==0.16.1
|
486 |
+
nvidia-cufile-cu12==1.11.1.6
|
487 |
+
google-cloud-trace==1.16.2
|
488 |
+
tensorflow_decision_forests==1.12.0
|
489 |
+
opencv-python==4.12.0.88
|
490 |
+
libclang==18.1.1
|
491 |
+
tensorboard-data-server==0.7.2
|
492 |
+
tensorboard==2.19.0
|
493 |
+
pandas-datareader==0.10.0
|
494 |
+
bqplot==0.12.45
|
495 |
+
zipp==3.23.0
|
496 |
+
pylibcudf-cu12==25.6.0
|
497 |
+
jaraco.classes==3.4.0
|
498 |
+
proglog==0.1.12
|
499 |
+
starlette==0.47.2
|
500 |
+
google-cloud-core==2.4.3
|
501 |
+
cvxpy==1.6.7
|
502 |
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ratelim==0.1.6
|
503 |
+
lxml==5.4.0
|
504 |
+
GDAL==3.8.4
|
505 |
+
nvidia-nvjitlink-cu12==12.6.85
|
506 |
+
tensorflow-metadata==1.17.2
|
507 |
+
vega-datasets==0.9.0
|
508 |
+
blis==1.3.0
|
509 |
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py-cpuinfo==9.0.0
|
510 |
+
ucx-py-cu12==0.44.0
|
511 |
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gradio_client==1.11.1
|
512 |
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hf-xet==1.1.7
|
513 |
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keyring==25.6.0
|
514 |
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sentry-sdk==2.35.0
|
515 |
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fastprogress==1.0.3
|
516 |
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pynndescent==0.5.13
|
517 |
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msgpack==1.1.1
|
518 |
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ipython-genutils==0.2.0
|
519 |
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humanize==4.12.3
|
520 |
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ibis-framework==9.5.0
|
521 |
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nbclient==0.10.2
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522 |
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multiprocess==0.70.16
|
523 |
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docutils==0.21.2
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524 |
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bokeh==3.7.3
|
525 |
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pymc==5.25.1
|
526 |
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llvmlite==0.43.0
|
527 |
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nltk==3.9.1
|
528 |
+
libraft-cu12==25.6.0
|
529 |
+
pydantic_core==2.33.2
|
530 |
+
imageio==2.37.0
|
531 |
+
googleapis-common-protos==1.70.0
|
532 |
+
matplotlib==3.10.0
|
533 |
+
imagesize==1.4.1
|
534 |
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xlrd==2.0.2
|
535 |
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narwhals==2.1.2
|
536 |
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folium==0.20.0
|
537 |
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pytest==8.4.1
|
538 |
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h5netcdf==1.6.4
|
539 |
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gcsfs==2025.3.0
|
540 |
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grpclib==0.4.8
|
541 |
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PyGObject==3.42.0
|
542 |
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mdit-py-plugins==0.5.0
|
543 |
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albucore==0.0.24
|
544 |
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blosc2==3.7.1
|
545 |
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google-generativeai==0.8.5
|
546 |
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google-api-python-client==2.179.0
|
547 |
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googledrivedownloader==1.1.0
|
548 |
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spacy-legacy==3.0.12
|
549 |
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cymem==2.0.11
|
550 |
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PyJWT==2.10.1
|
551 |
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hyperopt==0.2.7
|
552 |
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prompt_toolkit==3.0.51
|
553 |
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inflect==7.5.0
|
554 |
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cmdstanpy==1.2.5
|
555 |
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pyviz_comms==3.0.6
|
556 |
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SecretStorage==3.3.3
|
557 |
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smart_open==7.3.0.post1
|
558 |
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pyerfa==2.0.1.5
|
559 |
+
jsonschema-specifications==2025.4.1
|
560 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
561 |
+
holidays==0.78
|
562 |
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gym-notices==0.1.0
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563 |
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cryptography==43.0.3
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564 |
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google==2.0.3
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565 |
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jupyter-leaflet==0.20.0
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566 |
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nvidia-cublas-cu12==12.6.4.1
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567 |
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triton==3.4.0
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568 |
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pandas==2.2.2
|
569 |
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backcall==0.2.0
|
570 |
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dask-cuda==25.6.0
|
571 |
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annotated-types==0.7.0
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572 |
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torchao==0.10.0
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573 |
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notebook_shim==0.2.4
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574 |
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pycocotools==2.0.10
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575 |
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attrs==25.3.0
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576 |
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zstandard==0.24.0
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577 |
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sklearn-pandas==2.2.0
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578 |
+
xyzservices==2025.4.0
|
579 |
+
colorlover==0.3.0
|
580 |
+
types-pytz==2025.2.0.20250809
|
581 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
582 |
+
pyproj==3.7.2
|
583 |
+
cuvs-cu12==25.6.1
|
584 |
+
portpicker==1.5.2
|
585 |
+
shap==0.48.0
|
586 |
+
ipyfilechooser==0.6.0
|
587 |
+
prophet==1.1.7
|
588 |
+
lazy_loader==0.4
|
589 |
+
keras-nlp==0.21.1
|
590 |
+
google-cloud-audit-log==0.3.2
|
591 |
+
google-cloud-datastore==2.21.0
|
592 |
+
PySocks==1.7.1
|
593 |
+
torchvision==0.23.0+cu126
|
594 |
+
docstring_parser==0.17.0
|
595 |
+
pexpect==4.9.0
|
596 |
+
geocoder==1.38.1
|
597 |
+
duckdb==1.3.2
|
598 |
+
typer==0.16.0
|
599 |
+
MarkupSafe==3.0.2
|
600 |
+
flatbuffers==25.2.10
|
601 |
+
smmap==5.0.2
|
602 |
+
libcuvs-cu12==25.6.1
|
603 |
+
pyparsing==3.2.3
|
604 |
+
tinycss2==1.4.0
|
605 |
+
watchdog==6.0.0
|
606 |
+
scikit-image==0.25.2
|
607 |
+
yellowbrick==1.5
|
608 |
+
nvidia-cufft-cu12==11.3.0.4
|
609 |
+
openpyxl==3.1.5
|
610 |
+
gymnasium==1.2.0
|
611 |
+
dopamine_rl==4.1.2
|
612 |
+
dask-cudf-cu12==25.6.0
|
613 |
+
stumpy==1.13.0
|
614 |
+
libucx-cu12==1.18.1
|
615 |
+
hdbscan==0.8.40
|
616 |
+
google-ai-generativelanguage==0.6.15
|
617 |
+
jaraco.functools==4.2.1
|
618 |
+
idna==3.10
|
619 |
+
google-cloud-functions==1.20.4
|
620 |
+
cvxopt==1.3.2
|
621 |
+
pycryptodomex==3.23.0
|
622 |
+
aiosignal==1.4.0
|
623 |
+
pyproject_hooks==1.2.0
|
624 |
+
nvidia-nccl-cu12==2.27.3
|
625 |
+
parso==0.8.4
|
626 |
+
opentelemetry-sdk==1.36.0
|
627 |
+
srsly==2.5.1
|
628 |
+
mlxtend==0.23.4
|
629 |
+
ptyprocess==0.7.0
|
630 |
+
Markdown==3.8.2
|
631 |
+
jsonpickle==4.1.1
|
632 |
+
aiofiles==24.1.0
|
633 |
+
langchain-text-splitters==0.3.9
|
634 |
+
traittypes==0.2.1
|
635 |
+
sphinxcontrib-htmlhelp==2.1.0
|
636 |
+
torchsummary==1.5.1
|
637 |
+
plum-dispatch==2.5.7
|
638 |
+
wordcloud==1.9.4
|
639 |
+
filelock==3.19.1
|
640 |
+
frozenlist==1.7.0
|
641 |
+
typing-inspection==0.4.1
|
642 |
+
terminado==0.18.1
|
643 |
+
cloudpathlib==0.21.1
|
644 |
+
gitdb==4.0.12
|
645 |
+
geopy==2.4.1
|
646 |
+
nvtx==0.2.13
|
647 |
+
atpublic==5.1
|
648 |
+
altair==5.5.0
|
649 |
+
stringzilla==3.12.6
|
650 |
+
jsonpatch==1.33
|
651 |
+
libcudf-cu12==25.6.0
|
652 |
+
safetensors==0.6.2
|
653 |
+
ucxx-cu12==0.44.0
|
654 |
+
joblib==1.5.1
|
655 |
+
google-cloud-secret-manager==2.24.0
|
656 |
+
holoviews==1.21.0
|
657 |
+
aiohttp==3.12.15
|
658 |
+
python-apt==0.0.0
|
659 |
+
launchpadlib==1.10.16
|
660 |
+
distro==1.7.0
|
661 |
+
PyGObject==3.42.1
|
662 |
+
blinker==1.4
|
663 |
+
wadllib==1.3.6
|
664 |
+
more-itertools==8.10.0
|
665 |
+
SecretStorage==3.3.1
|
666 |
+
keyring==23.5.0
|
667 |
+
zipp==1.0.0
|
668 |
+
dbus-python==1.2.18
|
669 |
+
importlib-metadata==4.6.4
|
670 |
+
jeepney==0.7.1
|
671 |
+
python-apt==2.4.0+ubuntu4
|
672 |
+
oauthlib==3.2.0
|
673 |
+
lazr.uri==1.0.6
|
674 |
+
lazr.restfulclient==0.14.4
|
675 |
+
pyparsing==2.4.7
|
676 |
+
six==1.16.0
|
677 |
+
httplib2==0.20.2
|
678 |
+
cryptography==3.4.8
|
679 |
+
PyJWT==2.3.0
|
680 |
+
MarkupSafe==2.0.1
|
681 |
+
Mako==1.1.3
|
682 |
+
Markdown==3.3.6
|
683 |
+
zipp==3.19.2
|
684 |
+
jaraco.functools==4.0.1
|
685 |
+
packaging==24.1
|
686 |
+
importlib_resources==6.4.0
|
687 |
+
wheel==0.43.0
|
688 |
+
importlib_metadata==8.0.0
|
689 |
+
more-itertools==10.3.0
|
690 |
+
jaraco.text==3.12.1
|
691 |
+
autocommand==2.2.2
|
692 |
+
typing_extensions==4.12.2
|
693 |
+
platformdirs==4.2.2
|
694 |
+
jaraco.collections==5.1.0
|
695 |
+
jaraco.context==5.3.0
|
696 |
+
typeguard==4.3.0
|
697 |
+
inflect==7.3.1
|
698 |
+
tomli==2.0.1
|
699 |
+
backports.tarfile==1.2.0
|
wandb/run-20250824_080823-9kirrkwo/logs/debug-core.log
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"time":"2025-08-24T08:08:23.777872123Z","level":"INFO","msg":"main: starting server","port-filename":"/tmp/tmpnbcy0xju/port-646.txt","pid":646,"log-level":0,"disable-analytics":false,"shutdown-on-parent-exit":false,"enable-dcgm-profiling":false}
|
2 |
+
{"time":"2025-08-24T08:08:23.778865046Z","level":"INFO","msg":"server: will exit if parent process dies","ppid":646}
|
3 |
+
{"time":"2025-08-24T08:08:23.778957559Z","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-646-3216-342828738/socket","Net":"unix"}}
|
4 |
+
{"time":"2025-08-24T08:08:23.94945573Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
|
5 |
+
{"time":"2025-08-24T08:08:23.965856739Z","level":"INFO","msg":"handleInformInit: received","streamId":"9kirrkwo","id":"1(@)"}
|
6 |
+
{"time":"2025-08-24T08:08:24.227731947Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"9kirrkwo","id":"1(@)"}
|
7 |
+
{"time":"2025-08-24T08:20:52.318944519Z","level":"INFO","msg":"server: parent process exited, terminating service process"}
|
wandb/run-20250824_080823-9kirrkwo/logs/debug-internal.log
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"time":"2025-08-24T08:08:23.965963172Z","level":"INFO","msg":"stream: starting","core version":"0.21.1"}
|
2 |
+
{"time":"2025-08-24T08:08:24.22764533Z","level":"INFO","msg":"stream: created new stream","id":"9kirrkwo"}
|
3 |
+
{"time":"2025-08-24T08:08:24.227723322Z","level":"INFO","msg":"stream: started","id":"9kirrkwo"}
|
4 |
+
{"time":"2025-08-24T08:08:24.229697221Z","level":"INFO","msg":"handler: started","stream_id":"9kirrkwo"}
|
5 |
+
{"time":"2025-08-24T08:08:24.229751339Z","level":"INFO","msg":"writer: started","stream_id":"9kirrkwo"}
|
6 |
+
{"time":"2025-08-24T08:08:24.229893198Z","level":"INFO","msg":"sender: started","stream_id":"9kirrkwo"}
|
wandb/run-20250824_080823-9kirrkwo/logs/debug.log
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Current SDK version is 0.21.1
|
2 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Configure stats pid to 646
|
3 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from /root/.config/wandb/settings
|
4 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from /content/wandb/settings
|
5 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_setup.py:_flush():80] Loading settings from environment variables
|
6 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:setup_run_log_directory():703] Logging user logs to /content/wandb/run-20250824_080823-9kirrkwo/logs/debug.log
|
7 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:setup_run_log_directory():704] Logging internal logs to /content/wandb/run-20250824_080823-9kirrkwo/logs/debug-internal.log
|
8 |
+
2025-08-24 08:08:23,319 INFO MainThread:646 [wandb_init.py:monkeypatch_ipython():622] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b31256ef4a0>
|
9 |
+
2025-08-24 08:08:23,320 INFO MainThread:646 [wandb_init.py:init():830] calling init triggers
|
10 |
+
2025-08-24 08:08:23,321 INFO MainThread:646 [wandb_init.py:init():835] wandb.init called with sweep_config: {}
|
11 |
+
config: {'_wandb': {}}
|
12 |
+
2025-08-24 08:08:23,321 INFO MainThread:646 [wandb_init.py:init():871] starting backend
|
13 |
+
2025-08-24 08:08:23,949 INFO MainThread:646 [wandb_init.py:init():874] sending inform_init request
|
14 |
+
2025-08-24 08:08:23,960 INFO MainThread:646 [wandb_init.py:init():882] backend started and connected
|
15 |
+
2025-08-24 08:08:23,973 INFO MainThread:646 [wandb_run.py:_label_probe_notebook():1318] probe notebook
|
16 |
+
2025-08-24 08:08:24,228 INFO MainThread:646 [wandb_init.py:init():953] updated telemetry
|
17 |
+
2025-08-24 08:08:24,228 INFO MainThread:646 [wandb_init.py:init():977] communicating run to backend with 90.0 second timeout
|
18 |
+
2025-08-24 08:08:24,494 INFO MainThread:646 [wandb_init.py:init():1029] starting run threads in backend
|
19 |
+
2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_console_start():2494] atexit reg
|
20 |
+
2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2342] redirect: wrap_raw
|
21 |
+
2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2411] Wrapping output streams.
|
22 |
+
2025-08-24 08:08:25,028 INFO MainThread:646 [wandb_run.py:_redirect():2434] Redirects installed.
|
23 |
+
2025-08-24 08:08:25,036 INFO MainThread:646 [wandb_init.py:init():1075] run started, returning control to user process
|
24 |
+
2025-08-24 08:08:25,038 INFO MainThread:646 [wandb_run.py:_config_callback():1380] config_cb None None {'peft_config': {'default': {'task_type': <TaskType.CAUSAL_LM: 'CAUSAL_LM'>, 'peft_type': <PeftType.LORA: 'LORA'>, 'auto_mapping': None, 'base_model_name_or_path': 'unsloth/llama-2-7b-chat-bnb-4bit', 'revision': None, 'inference_mode': False, 'r': 16, 'target_modules': {'k_proj', 'up_proj', 'v_proj', 'gate_proj', 'q_proj', 'o_proj', 'down_proj'}, 'exclude_modules': None, 'lora_alpha': 16, 'lora_dropout': 0, 'fan_in_fan_out': False, 'bias': 'none', 'use_rslora': False, 'modules_to_save': None, 'init_lora_weights': True, 'layers_to_transform': None, 'layers_pattern': None, 'rank_pattern': {}, 'alpha_pattern': {}, 'megatron_config': None, 'megatron_core': 'megatron.core', 'trainable_token_indices': None, 'loftq_config': {}, 'eva_config': None, 'corda_config': None, 'use_dora': False, 'use_qalora': False, 'qalora_group_size': 16, 'layer_replication': None, 'runtime_config': {'ephemeral_gpu_offload': False}, 'lora_bias': False, 'target_parameters': None}}, 'vocab_size': 32000, 'max_position_embeddings': 4096, 'hidden_size': 4096, 'intermediate_size': 11008, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'num_key_value_heads': 32, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': True, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 128, 'return_dict': True, 'output_hidden_states': False, 'torchscript': False, 'torch_dtype': 'float16', 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'task_specific_params': None, 'problem_type': None, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'max_length': 1024, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, '_name_or_path': 'unsloth/llama-2-7b-chat-bnb-4bit', 'transformers_version': '4.55.2', 'model_type': 'llama', 'quantization_config': {'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'llm_int8_skip_modules': None, 'llm_int8_threshold': 6.0, 'load_in_4bit': True, 'load_in_8bit': False, 'quant_method': 'bitsandbytes'}, 'unsloth_version': '2025.8.9', 'tf_legacy_loss': False, 'use_bfloat16': False, 'output_attentions': False, 'output_dir': 'outputs', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 60, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 5, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': 'outputs/runs/Aug24_08-08-03_5bb901241d6f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 3407, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': True, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': None, 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_always_push': False, 'hub_revision': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'liger_kernel_config': None, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'model_init_kwargs': None, 'chat_template_path': None, 'dataset_text_field': 'text', 'dataset_kwargs': None, 'dataset_num_proc': None, 'eos_token': '<EOS_TOKEN>', 'pad_token': '<PAD_TOKEN>', 'packing': False, 'packing_strategy': 'bfd', 'padding_free': False, 'pad_to_multiple_of': None, 'eval_packing': None, 'completion_only_loss': None, 'assistant_only_loss': False, 'activation_offloading': False}
|
25 |
+
2025-08-24 08:08:25,048 INFO MainThread:646 [wandb_config.py:__setitem__():154] [no run ID] config set model/num_parameters = 6778392576 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7b3125788a70>>
|
26 |
+
2025-08-24 08:08:25,048 INFO MainThread:646 [wandb_run.py:_config_callback():1380] config_cb model/num_parameters 6778392576 None
|
27 |
+
2025-08-24 08:14:12,874 INFO MainThread:646 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
|
28 |
+
2025-08-24 08:17:05,573 INFO MainThread:646 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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29 |
+
2025-08-24 08:17:05,573 INFO MainThread:646 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
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30 |
+
2025-08-24 08:17:34,408 INFO MainThread:646 [wandb_init.py:_post_run_cell_hook():592] [no run ID] resuming backend
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31 |
+
2025-08-24 08:18:03,308 INFO MainThread:646 [jupyter.py:save_ipynb():404] [no run ID] not saving jupyter notebook
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32 |
+
2025-08-24 08:18:03,308 INFO MainThread:646 [wandb_init.py:_pre_run_cell_hook():581] [no run ID] pausing backend
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wandb/run-20250824_080823-9kirrkwo/run-9kirrkwo.wandb
ADDED
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