developer_uid: chai_backend_admin
submission_id: jellywibble-aaron250405014117_v1
model_name: jellywibble-aaron250405014117_v1
model_group: Jellywibble/Aaron2504050
status: inactive
timestamp: 2025-04-05T00:53:55+00:00
num_battles: 8048
num_wins: 4099
celo_rating: 1290.25
family_friendly_score: 0.5258
family_friendly_standard_error: 0.007061647966303617
submission_type: basic
model_repo: Jellywibble/Aaron250405014117
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3659417217106135, 'latency_mean': 2.7326106917858124, 'latency_p50': 2.747665047645569, 'latency_p90': 3.0076589822769164}, {'batch_size': 2, 'throughput': 0.5765338574112691, 'latency_mean': 3.4689494502544402, 'latency_p50': 3.494711995124817, 'latency_p90': 3.77650351524353}, {'batch_size': 3, 'throughput': 0.7311586672360552, 'latency_mean': 4.092568130493164, 'latency_p50': 4.046294569969177, 'latency_p90': 4.5308736085891725}, {'batch_size': 4, 'throughput': 0.8520129784307665, 'latency_mean': 4.6761194717884065, 'latency_p50': 4.66874098777771, 'latency_p90': 5.283025574684143}, {'batch_size': 5, 'throughput': 0.9410576803347653, 'latency_mean': 5.292642588615418, 'latency_p50': 5.272796392440796, 'latency_p90': 5.921741318702697}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-aaron250405014117_v1
is_internal_developer: True
language_model: Jellywibble/Aaron250405014117
model_size: 24B
ranking_group: single
throughput_3p7s: 0.64
us_pacific_date: 2025-04-04
win_ratio: 0.5093190854870775
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '####', '####\n', 'You:', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {message}\n', 'response_template': '{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 jellywibble-aaron250405014117-v1-mkmlizer
Waiting for job on jellywibble-aaron250405014117-v1-mkmlizer to finish
jellywibble-aaron250405014117-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-aaron250405014117-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-aaron250405014117-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-aaron250405014117-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-aaron250405014117-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-aaron250405014117-v1-mkmlizer: ║                                                                     ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-aaron250405014117-v1-mkmlizer: ║                                                                     ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-aaron250405014117-v1-mkmlizer: ║                                                                     ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-aaron250405014117-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
jellywibble-aaron250405014117-v1-mkmlizer: ║                                                                     ║
jellywibble-aaron250405014117-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-aaron250405014117-v1-mkmlizer: Downloaded to shared memory in 92.912s
jellywibble-aaron250405014117-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_jw2b4np, device:0
jellywibble-aaron250405014117-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-aaron250405014117-v1-mkmlizer: quantized model in 55.165s
jellywibble-aaron250405014117-v1-mkmlizer: Processed model Jellywibble/Aaron250405014117 in 148.078s
jellywibble-aaron250405014117-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-aaron250405014117-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-aaron250405014117-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/config.json
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/special_tokens_map.json
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/tokenizer_config.json
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/tokenizer.json
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/flywheel_model.0.safetensors
jellywibble-aaron250405014117-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-aaron250405014117-v1/flywheel_model.1.safetensors
jellywibble-aaron250405014117-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:10, 34.23it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:13, 26.76it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 29.12it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:14, 23.70it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:11, 29.19it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:13, 24.68it/s]
Loading 0:   8%|▊         | 30/363 [00:01<00:10, 31.81it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:14, 23.21it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:15, 21.47it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:14, 22.63it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:14, 22.37it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:12, 25.76it/s]
Loading 0:  14%|█▍        | 51/363 [00:02<00:13, 22.83it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:11, 27.68it/s]
Loading 0:  17%|█▋        | 60/363 [00:02<00:12, 24.25it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:11, 26.75it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:11, 24.44it/s]
Loading 0:  20%|██        | 73/363 [00:03<00:14, 20.61it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:11, 25.59it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 24.43it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 26.39it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 26.19it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 20.56it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:09, 27.92it/s]
Loading 0:  28%|██▊       | 103/363 [00:04<00:09, 26.38it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:11, 22.31it/s]
Loading 0:  31%|███       | 112/363 [00:04<00:09, 25.19it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:10, 24.13it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 27.10it/s]
Loading 0:  34%|███▍      | 123/363 [00:04<00:10, 23.70it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:07, 29.46it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 27.09it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 29.69it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 27.15it/s]
Loading 0:  40%|████      | 147/363 [00:05<00:06, 31.02it/s]
Loading 0:  42%|████▏     | 151/363 [00:05<00:09, 23.16it/s]
Loading 0:  42%|████▏     | 154/363 [00:06<00:09, 21.37it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:09, 22.58it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:08, 22.76it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 26.17it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:08, 23.16it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:06, 27.76it/s]
Loading 0:  49%|████▉     | 177/363 [00:07<00:07, 24.06it/s]
Loading 0:  50%|█████     | 182/363 [00:07<00:06, 26.36it/s]
Loading 0:  52%|█████▏    | 187/363 [00:07<00:07, 23.27it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:08, 20.90it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:07, 21.90it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:07, 22.20it/s]
Loading 0:  55%|█████▌    | 200/363 [00:22<00:07, 22.20it/s]
Loading 0:  55%|█████▌    | 201/363 [00:22<03:06,  1.15s/it]
Loading 0:  56%|█████▌    | 203/363 [00:22<02:33,  1.04it/s]
Loading 0:  57%|█████▋    | 208/363 [00:23<01:32,  1.67it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:11,  2.13it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:53,  2.81it/s]
Loading 0:  60%|██████    | 218/363 [00:23<00:36,  4.00it/s]
Loading 0:  61%|██████    | 221/363 [00:23<00:28,  5.07it/s]
Loading 0:  62%|██████▏   | 224/363 [00:23<00:22,  6.05it/s]
Loading 0:  63%|██████▎   | 228/363 [00:24<00:15,  8.53it/s]
Loading 0:  64%|██████▎   | 231/363 [00:24<00:13,  9.86it/s]
Loading 0:  65%|██████▍   | 235/363 [00:24<00:09, 13.21it/s]
Loading 0:  66%|██████▌   | 238/363 [00:24<00:08, 15.50it/s]
Loading 0:  66%|██████▋   | 241/363 [00:24<00:07, 17.28it/s]
Loading 0:  68%|██████▊   | 246/363 [00:24<00:05, 22.08it/s]
Loading 0:  69%|██████▉   | 250/363 [00:24<00:05, 22.39it/s]
Loading 0:  70%|███████   | 255/363 [00:24<00:04, 26.07it/s]
Loading 0:  71%|███████▏  | 259/363 [00:25<00:04, 25.09it/s]
Loading 0:  73%|███████▎  | 264/363 [00:25<00:03, 29.91it/s]
Loading 0:  74%|███████▍  | 268/363 [00:25<00:04, 23.06it/s]
Loading 0:  75%|███████▍  | 271/363 [00:25<00:04, 21.36it/s]
Loading 0:  75%|███████▌  | 274/363 [00:25<00:03, 22.49it/s]
Loading 0:  76%|███████▋  | 277/363 [00:25<00:03, 22.56it/s]
Loading 0:  78%|███████▊  | 282/363 [00:26<00:03, 25.89it/s]
Loading 0:  79%|███████▊  | 285/363 [00:26<00:03, 22.81it/s]
Loading 0:  80%|████████  | 291/363 [00:26<00:02, 27.19it/s]
Loading 0:  81%|████████  | 294/363 [00:26<00:02, 24.15it/s]
Loading 0:  82%|████████▏ | 299/363 [00:26<00:02, 27.03it/s]
Loading 0:  84%|████████▎ | 304/363 [00:26<00:02, 24.79it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 22.00it/s]
Loading 0:  85%|████████▌ | 310/363 [00:27<00:02, 23.02it/s]
Loading 0:  86%|████████▌ | 313/363 [00:27<00:02, 22.87it/s]
Loading 0:  88%|████████▊ | 318/363 [00:27<00:01, 26.11it/s]
Loading 0:  88%|████████▊ | 321/363 [00:27<00:01, 23.22it/s]
Loading 0:  90%|████████▉ | 325/363 [00:27<00:01, 26.77it/s]
Loading 0:  91%|█████████ | 329/363 [00:28<00:01, 23.41it/s]
Loading 0:  92%|█████████▏| 335/363 [00:28<00:00, 29.07it/s]
Loading 0:  93%|█████████▎| 339/363 [00:28<00:00, 28.02it/s]
Loading 0:  94%|█████████▍| 342/363 [00:35<00:11,  1.81it/s]
Loading 0:  96%|█████████▌| 347/363 [00:35<00:05,  2.72it/s]
Loading 0:  96%|█████████▋| 350/363 [00:35<00:03,  3.42it/s]
Loading 0:  98%|█████████▊| 355/363 [00:35<00:01,  5.07it/s]
Loading 0:  99%|█████████▊| 358/363 [00:35<00:00,  6.09it/s]
                                                            

Job jellywibble-aaron250405014117-v1-mkmlizer completed after 175.86s with status: succeeded
Stopping job with name jellywibble-aaron250405014117-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.46s
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 jellywibble-aaron250405014117-v1
Waiting for inference service jellywibble-aaron250405014117-v1 to be ready
Inference service jellywibble-aaron250405014117-v1 ready after 120.42611527442932s
Pipeline stage MKMLDeployer completed in 121.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8993980884552s
Received healthy response to inference request in 2.4252007007598877s
Received healthy response to inference request in 2.5115134716033936s
Received healthy response to inference request in 2.4587666988372803s
Received healthy response to inference request in 2.4101622104644775s
5 requests
0 failed requests
5th percentile: 2.4131699085235594
10th percentile: 2.4161776065826417
20th percentile: 2.422193002700806
30th percentile: 2.431913900375366
40th percentile: 2.445340299606323
50th percentile: 2.4587666988372803
60th percentile: 2.4798654079437257
70th percentile: 2.500964117050171
80th percentile: 2.589090394973755
90th percentile: 2.7442442417144775
95th percentile: 2.8218211650848386
99th percentile: 2.883882703781128
mean time: 2.541008234024048
Pipeline stage StressChecker completed in 13.97s
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 0.72s
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 0.72s
Shutdown handler de-registered
jellywibble-aaron250405014117_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service jellywibble-aaron250405014117-v1-profiler
Waiting for inference service jellywibble-aaron250405014117-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4847.97s
Shutdown handler de-registered
jellywibble-aaron250405014117_v1 status is now inactive due to auto deactivation removed underperforming models
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1