albertwang8192-2025-07-08-5

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-5_v1

model_name: 2025-07-08_5

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T17:32:29+00:00

num_battles: 6449

num_wins: 3021

celo_rating: 1265.44

family_friendly_score: 0.5818

family_friendly_standard_error: 0.006975797588806602

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_5

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5939273210387427, 'latency_mean': 1.6835343861579894, 'latency_p50': 1.6802259683609009, 'latency_p90': 1.8590333461761475}, {'batch_size': 3, 'throughput': 1.0632774751228216, 'latency_mean': 2.813021498918533, 'latency_p50': 2.8009042739868164, 'latency_p90': 3.142113208770752}, {'batch_size': 5, 'throughput': 1.2654383165218204, 'latency_mean': 3.9340405428409575, 'latency_p50': 3.930254101753235, 'latency_p90': 4.33856725692749}, {'batch_size': 6, 'throughput': 1.326064306558257, 'latency_mean': 4.498565512895584, 'latency_p50': 4.50362753868103, 'latency_p90': 5.051521468162536}, {'batch_size': 8, 'throughput': 1.3904768067161541, 'latency_mean': 5.72371756196022, 'latency_p50': 5.717099547386169, 'latency_p90': 6.348138785362243}, {'batch_size': 10, 'throughput': 1.419306200862612, 'latency_mean': 6.985761543512345, 'latency_p50': 6.935147047042847, 'latency_p90': 7.758997917175293}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_5

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_5

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-08

win_ratio: 0.46844472011164523

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_end|>', '<|im_start|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

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 albertwang8192-2025-07-08-5-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-5-v1-mkmlizer to finish
albertwang8192-2025-07-08-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
albertwang8192-2025-07-08-5-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-5-v1-mkmlizer: Downloaded to shared memory in 75.783s
albertwang8192-2025-07-08-5-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_5 already exists in ChaiML
albertwang8192-2025-07-08-5-v1-mkmlizer: Creating repo ChaiML/2025-07-08_5 and uploading /tmp/tmpeiseyv4w to it
albertwang8192-2025-07-08-5-v1-mkmlizer: 
  0%|          | 0/6 [00:00<?, ?it/s]
 17%|█▋        | 1/6 [00:07<00:39,  7.87s/it]
 33%|███▎      | 2/6 [00:16<00:32,  8.15s/it]
 50%|█████     | 3/6 [00:23<00:22,  7.57s/it]
 67%|██████▋   | 4/6 [00:26<00:12,  6.09s/it]
 83%|████████▎ | 5/6 [00:32<00:05,  5.76s/it]
100%|██████████| 6/6 [00:33<00:00,  4.17s/it]
100%|██████████| 6/6 [00:33<00:00,  5.53s/it]
albertwang8192-2025-07-08-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeiseyv4w, device:0
albertwang8192-2025-07-08-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-5-v1-mkmlizer: quantized model in 30.793s
albertwang8192-2025-07-08-5-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_5 in 165.466s
albertwang8192-2025-07-08-5-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia
albertwang8192-2025-07-08-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia/config.json
albertwang8192-2025-07-08-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-5-v1/nvidia/flywheel_model.0.safetensors
albertwang8192-2025-07-08-5-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.77it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 46.39it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:07, 46.96it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:09, 35.83it/s]
Loading 0:   8%|▊         | 30/363 [00:00<00:07, 44.54it/s]
Loading 0:  10%|▉         | 36/363 [00:00<00:07, 45.89it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:08, 37.50it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:07, 44.99it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:06, 46.03it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:06, 46.86it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:11, 25.65it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:08, 32.99it/s]
Loading 0:  21%|██        | 76/363 [00:02<00:08, 34.30it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:07, 35.93it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 38.21it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 33.21it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 40.50it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 40.55it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:06, 42.44it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 36.65it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:06, 36.82it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 43.77it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 43.29it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.00it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 44.03it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 26.69it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:07, 27.15it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:06, 34.37it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 35.88it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 37.19it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 39.47it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 33.83it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 40.31it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 40.53it/s]
Loading 0:  53%|█████▎    | 193/363 [00:05<00:04, 40.41it/s]
Loading 0:  55%|█████▍    | 198/363 [00:05<00:03, 42.48it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 34.87it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 41.33it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 41.24it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 42.25it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:05, 26.69it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 28.93it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 35.96it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 37.33it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:03, 38.36it/s]
Loading 0:  69%|██████▉   | 252/363 [00:06<00:02, 40.60it/s]
Loading 0:  71%|███████   | 257/363 [00:06<00:03, 34.39it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 40.86it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 40.84it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:02, 41.26it/s]
Loading 0:  77%|███████▋  | 279/363 [00:07<00:01, 43.17it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 35.12it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 41.82it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 41.94it/s]
Loading 0:  83%|████████▎ | 301/363 [00:07<00:01, 42.90it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:02, 23.11it/s]
Loading 0:  85%|████████▌ | 310/363 [00:08<00:02, 24.37it/s]
Loading 0:  87%|████████▋ | 314/363 [00:08<00:01, 26.71it/s]
Loading 0:  88%|████████▊ | 320/363 [00:08<00:01, 32.22it/s]
Loading 0:  90%|████████▉ | 326/363 [00:08<00:01, 33.90it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:01, 32.91it/s]
Loading 0:  93%|█████████▎| 337/363 [00:09<00:00, 39.84it/s]
Loading 0:  94%|█████████▍| 342/363 [00:09<00:00, 39.50it/s]
Loading 0:  96%|█████████▌| 347/363 [00:09<00:00, 40.17it/s]
Loading 0:  97%|█████████▋| 352/363 [00:09<00:00, 42.20it/s]
Loading 0:  98%|█████████▊| 357/363 [00:09<00:00, 35.58it/s]
                                                            
Job albertwang8192-2025-07-08-5-v1-mkmlizer completed after 187.45s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 188.13s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.33s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-5-v1
Waiting for inference service albertwang8192-2025-07-08-5-v1 to be ready
Inference service albertwang8192-2025-07-08-5-v1 ready after 191.11088037490845s
Pipeline stage MKMLDeployer completed in 191.58s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6107659339904785s
Received healthy response to inference request in 1.4821109771728516s
Received healthy response to inference request in 1.802093744277954s
Received healthy response to inference request in 1.365297555923462s
Received healthy response to inference request in 2.0880630016326904s
5 requests
0 failed requests
5th percentile: 1.3886602401733399
10th percentile: 1.4120229244232179
20th percentile: 1.4587482929229736
30th percentile: 1.546107530593872
40th percentile: 1.674100637435913
50th percentile: 1.802093744277954
60th percentile: 1.9164814472198486
70th percentile: 2.030869150161743
80th percentile: 2.192603588104248
90th percentile: 2.4016847610473633
95th percentile: 2.506225347518921
99th percentile: 2.589857816696167
mean time: 1.8696662425994872
Pipeline stage StressChecker completed in 10.51s
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 0.71s
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 0.69s
Shutdown handler de-registered
albertwang8192-2025-07-08-5_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 3146.38s
Shutdown handler de-registered
albertwang8192-2025-07-08-5_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-5_v1 status is now torndown due to DeploymentManager action