developer_uid: deeppin
submission_id: deeppin-red-paper-v12-7168_v1
model_name: deeppin-red-paper-v12-7168_v1
model_group: deeppin/red-paper-v12-71
status: torndown
timestamp: 2025-02-05T06:08:27+00:00
num_battles: 6572
num_wins: 2980
celo_rating: 1231.9
family_friendly_score: 0.5478000000000001
family_friendly_standard_error: 0.007038681126461122
submission_type: basic
model_repo: deeppin/red-paper-v12-7168
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: deeppin-red-paper-v12-7168_v1
is_internal_developer: False
language_model: deeppin/red-paper-v12-7168
model_size: 8B
ranking_group: single
us_pacific_date: 2025-02-04
win_ratio: 0.4534388314059647
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name deeppin-red-paper-v12-7168-v1-mkmlizer
Waiting for job on deeppin-red-paper-v12-7168-v1-mkmlizer to finish
deeppin-red-paper-v12-7168-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ _____ __ __ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ /___/ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ Version: 0.11.12 ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ https://mk1.ai ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ The license key for the current software has been verified as ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ belonging to: ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ Chai Research Corp. ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ║ ║
deeppin-red-paper-v12-7168-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
deeppin-red-paper-v12-7168-v1-mkmlizer: Downloaded to shared memory in 33.462s
deeppin-red-paper-v12-7168-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp887_3bd0, device:0
deeppin-red-paper-v12-7168-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deeppin-red-paper-v12-7168-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
deeppin-red-paper-v12-7168-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
deeppin-red-paper-v12-7168-v1-mkmlizer: quantized model in 25.058s
deeppin-red-paper-v12-7168-v1-mkmlizer: Processed model deeppin/red-paper-v12-7168 in 58.520s
deeppin-red-paper-v12-7168-v1-mkmlizer: creating bucket guanaco-mkml-models
deeppin-red-paper-v12-7168-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
deeppin-red-paper-v12-7168-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1
deeppin-red-paper-v12-7168-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1/config.json
deeppin-red-paper-v12-7168-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1/special_tokens_map.json
deeppin-red-paper-v12-7168-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1/tokenizer_config.json
deeppin-red-paper-v12-7168-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1/tokenizer.json
deeppin-red-paper-v12-7168-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deeppin-red-paper-v12-7168-v1/flywheel_model.0.safetensors
deeppin-red-paper-v12-7168-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:05, 49.16it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:03, 83.42it/s] Loading 0: 11%|█ | 31/291 [00:00<00:03, 85.72it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:02, 86.77it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 96.71it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 92.11it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:07, 27.16it/s] Loading 0: 31%|███ | 90/291 [00:02<00:06, 30.31it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:04, 39.71it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:03, 48.44it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:02, 60.71it/s] Loading 0: 49%|████▉ | 142/291 [00:02<00:02, 66.23it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 77.25it/s] Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 80.41it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 87.28it/s] Loading 0: 67%|██████▋ | 194/291 [00:04<00:03, 28.27it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 34.36it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 45.23it/s] Loading 0: 79%|███████▉ | 230/291 [00:04<00:01, 52.21it/s] Loading 0: 83%|████████▎ | 241/291 [00:04<00:00, 57.85it/s] Loading 0: 88%|████████▊ | 256/291 [00:04<00:00, 68.85it/s] Loading 0: 92%|█████████▏| 268/291 [00:04<00:00, 72.83it/s] Loading 0: 97%|█████████▋| 283/291 [00:05<00:00, 81.79it/s]
Job deeppin-red-paper-v12-7168-v1-mkmlizer completed after 84.02s with status: succeeded
Stopping job with name deeppin-red-paper-v12-7168-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.52s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service deeppin-red-paper-v12-7168-v1
Waiting for inference service deeppin-red-paper-v12-7168-v1 to be ready
Inference service deeppin-red-paper-v12-7168-v1 ready after 180.9269609451294s
Pipeline stage MKMLDeployer completed in 181.43s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7901134490966797s
Received healthy response to inference request in 1.2561557292938232s
Received healthy response to inference request in 1.3867933750152588s
Received healthy response to inference request in 1.3678414821624756s
Received healthy response to inference request in 1.225440502166748s
5 requests
0 failed requests
5th percentile: 1.231583547592163
10th percentile: 1.237726593017578
20th percentile: 1.2500126838684082
30th percentile: 1.2784928798675537
40th percentile: 1.3231671810150147
50th percentile: 1.3678414821624756
60th percentile: 1.3754222393035889
70th percentile: 1.3830029964447021
80th percentile: 1.467457389831543
90th percentile: 1.6287854194641114
95th percentile: 1.7094494342803954
99th percentile: 1.7739806461334229
mean time: 1.405268907546997
Pipeline stage StressChecker completed in 8.30s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.67s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.65s
Shutdown handler de-registered
deeppin-red-paper-v12-7168_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 1723.26s
Shutdown handler de-registered
deeppin-red-paper-v12-7168_v1 status is now inactive due to auto deactivation removed underperforming models
deeppin-red-paper-v12-7168_v1 status is now torndown due to DeploymentManager action