developer_uid: zhenzhe
submission_id: white-bird-1-kto_v1
model_name: white-bird-1-kto_v1
model_group: white-bird/1_kto
status: torndown
timestamp: 2025-03-02T12:50:16+00:00
num_battles: 9770
num_wins: 4362
celo_rating: 1237.33
family_friendly_score: 0.595
family_friendly_standard_error: 0.00694226187924368
submission_type: basic
model_repo: white-bird/1_kto
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': 0.6008874022420859, 'latency_mean': 1.6641315853595733, 'latency_p50': 1.6631165742874146, 'latency_p90': 1.8339579582214356}, {'batch_size': 3, 'throughput': 1.1085865752566813, 'latency_mean': 2.6961718297004698, 'latency_p50': 2.688334345817566, 'latency_p90': 2.9402071952819826}, {'batch_size': 5, 'throughput': 1.3518637493077479, 'latency_mean': 3.684132705926895, 'latency_p50': 3.654483437538147, 'latency_p90': 4.104379773139954}, {'batch_size': 6, 'throughput': 1.4138616682002505, 'latency_mean': 4.228036879301071, 'latency_p50': 4.247187376022339, 'latency_p90': 4.696309208869934}, {'batch_size': 8, 'throughput': 1.4715977080169118, 'latency_mean': 5.398877295255661, 'latency_p50': 5.387628555297852, 'latency_p90': 6.0209839105606076}, {'batch_size': 10, 'throughput': 1.5178909302911507, 'latency_mean': 6.538152216672898, 'latency_p50': 6.599275350570679, 'latency_p90': 7.3092845439910885}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-1-kto_v1
is_internal_developer: False
language_model: white-bird/1_kto
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-03-02
win_ratio: 0.4464687819856704
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['####', 'You:', 'User:', 'Me:', 'Bot:', '\n', 'Anonymous', '</s>'], '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 white-bird-1-kto-v1-mkmlizer
Waiting for job on white-bird-1-kto-v1-mkmlizer to finish
white-bird-1-kto-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-1-kto-v1-mkmlizer: ║     _____            __           __                                ║
white-bird-1-kto-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
white-bird-1-kto-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
white-bird-1-kto-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
white-bird-1-kto-v1-mkmlizer: ║       /___/                                                         ║
white-bird-1-kto-v1-mkmlizer: ║                                                                     ║
white-bird-1-kto-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
white-bird-1-kto-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
white-bird-1-kto-v1-mkmlizer: ║  https://mk1.ai                                                     ║
white-bird-1-kto-v1-mkmlizer: ║                                                                     ║
white-bird-1-kto-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
white-bird-1-kto-v1-mkmlizer: ║  belonging to:                                                      ║
white-bird-1-kto-v1-mkmlizer: ║                                                                     ║
white-bird-1-kto-v1-mkmlizer: ║  Chai Research Corp.                                                ║
white-bird-1-kto-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
white-bird-1-kto-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
white-bird-1-kto-v1-mkmlizer: ║                                                                     ║
white-bird-1-kto-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-1-kto-v1-mkmlizer: Downloaded to shared memory in 82.306s
white-bird-1-kto-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprrhd7vq5, device:0
white-bird-1-kto-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-1-kto-v1-mkmlizer: quantized model in 42.764s
white-bird-1-kto-v1-mkmlizer: Processed model white-bird/1_kto in 125.071s
white-bird-1-kto-v1-mkmlizer: creating bucket guanaco-mkml-models
white-bird-1-kto-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-1-kto-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-1-kto-v1
white-bird-1-kto-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-1-kto-v1/config.json
white-bird-1-kto-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-1-kto-v1/special_tokens_map.json
white-bird-1-kto-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-1-kto-v1/tokenizer_config.json
white-bird-1-kto-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-1-kto-v1/tokenizer.json
white-bird-1-kto-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 22.70it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:12, 27.63it/s]
Loading 0:   4%|▍         | 14/363 [00:00<00:14, 23.82it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:11, 29.78it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:15, 21.72it/s]
Loading 0:   7%|▋         | 26/363 [00:01<00:17, 19.50it/s]
Loading 0:   9%|▊         | 31/363 [00:01<00:13, 25.05it/s]
Loading 0:  10%|▉         | 35/363 [00:01<00:12, 25.98it/s]
Loading 0:  11%|█         | 39/363 [00:01<00:12, 26.28it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:13, 24.14it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:11, 26.88it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:11, 27.57it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:11, 25.97it/s]
Loading 0:  15%|█▌        | 55/363 [00:02<00:11, 26.56it/s]
Loading 0:  17%|█▋        | 60/363 [00:02<00:10, 28.28it/s]
Loading 0:  17%|█▋        | 63/363 [00:02<00:15, 19.84it/s]
Loading 0:  18%|█▊        | 66/363 [00:02<00:14, 20.62it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:13, 22.32it/s]
Loading 0:  20%|█▉        | 72/363 [00:03<00:14, 20.54it/s]
Loading 0:  21%|██        | 77/363 [00:03<00:13, 21.94it/s]
Loading 0:  23%|██▎       | 84/363 [00:03<00:09, 28.98it/s]
Loading 0:  24%|██▍       | 88/363 [00:03<00:09, 27.67it/s]
Loading 0:  26%|██▌       | 93/363 [00:03<00:08, 30.32it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:09, 28.93it/s]
Loading 0:  28%|██▊       | 101/363 [00:04<00:11, 23.36it/s]
Loading 0:  29%|██▊       | 104/363 [00:04<00:12, 21.01it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:09, 27.91it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 27.23it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 29.37it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:08, 27.56it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:08, 29.17it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 27.73it/s]
Loading 0:  38%|███▊      | 137/363 [00:05<00:08, 27.79it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:09, 23.73it/s]
Loading 0:  40%|███▉      | 145/363 [00:05<00:09, 22.24it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:09, 21.56it/s]
Loading 0:  42%|████▏     | 154/363 [00:06<00:07, 26.36it/s]
Loading 0:  44%|████▎     | 158/363 [00:06<00:08, 24.20it/s]
Loading 0:  45%|████▍     | 163/363 [00:06<00:06, 28.89it/s]
Loading 0:  46%|████▌     | 167/363 [00:06<00:07, 25.45it/s]
Loading 0:  47%|████▋     | 172/363 [00:06<00:06, 29.67it/s]
Loading 0:  48%|████▊     | 176/363 [00:06<00:07, 25.79it/s]
Loading 0:  50%|████▉     | 181/363 [00:07<00:06, 29.65it/s]
Loading 0:  51%|█████     | 185/363 [00:07<00:08, 19.88it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:07, 24.38it/s]
Loading 0:  53%|█████▎    | 194/363 [00:07<00:07, 22.32it/s]
Loading 0:  55%|█████▍    | 199/363 [00:07<00:06, 26.61it/s]
Loading 0:  56%|█████▌    | 203/363 [00:08<00:06, 23.86it/s]
Loading 0:  57%|█████▋    | 208/363 [00:08<00:05, 27.79it/s]
Loading 0:  58%|█████▊    | 212/363 [00:08<00:06, 24.49it/s]
Loading 0:  60%|█████▉    | 217/363 [00:08<00:05, 28.73it/s]
Loading 0:  61%|██████    | 222/363 [00:08<00:04, 29.10it/s]
Loading 0:  62%|██████▏   | 226/363 [00:09<00:06, 20.46it/s]
Loading 0:  63%|██████▎   | 230/363 [00:09<00:06, 19.98it/s]
Loading 0:  65%|██████▍   | 235/363 [00:09<00:05, 24.75it/s]
Loading 0:  66%|██████▌   | 239/363 [00:09<00:05, 23.36it/s]
Loading 0:  68%|██████▊   | 246/363 [00:09<00:03, 29.31it/s]
Loading 0:  69%|██████▉   | 250/363 [00:09<00:03, 28.36it/s]
Loading 0:  70%|███████   | 255/363 [00:10<00:03, 30.33it/s]
Loading 0:  71%|███████▏  | 259/363 [00:10<00:03, 29.09it/s]
Loading 0:  72%|███████▏  | 263/363 [00:10<00:04, 23.77it/s]
Loading 0:  73%|███████▎  | 266/363 [00:10<00:04, 21.34it/s]
Loading 0:  75%|███████▌  | 273/363 [00:10<00:03, 27.92it/s]
Loading 0:  76%|███████▋  | 277/363 [00:10<00:03, 27.13it/s]
Loading 0:  78%|███████▊  | 282/363 [00:11<00:02, 28.85it/s]
Loading 0:  79%|███████▉  | 286/363 [00:11<00:02, 27.43it/s]
Loading 0:  80%|████████  | 291/363 [00:11<00:02, 29.51it/s]
Loading 0:  81%|████████▏ | 295/363 [00:11<00:02, 28.24it/s]
Loading 0:  82%|████████▏ | 299/363 [00:11<00:02, 27.65it/s]
Loading 0:  84%|████████▎ | 304/363 [00:11<00:02, 23.63it/s]
Loading 0:  85%|████████▍ | 307/363 [00:12<00:02, 22.69it/s]
Loading 0:  86%|████████▌ | 311/363 [00:12<00:02, 21.77it/s]
Loading 0:  88%|████████▊ | 318/363 [00:12<00:01, 28.24it/s]
Loading 0:  88%|████████▊ | 321/363 [00:12<00:01, 25.75it/s]
Loading 0:  90%|████████▉ | 325/363 [00:12<00:01, 27.70it/s]
Loading 0:  91%|█████████ | 329/363 [00:12<00:01, 24.68it/s]
Loading 0:  92%|█████████▏| 334/363 [00:13<00:00, 29.29it/s]
Loading 0:  93%|█████████▎| 338/363 [00:13<00:00, 25.33it/s]
Loading 0:  94%|█████████▍| 343/363 [00:13<00:00, 29.77it/s]
Loading 0:  96%|█████████▌| 347/363 [00:20<00:08,  1.97it/s]
Loading 0:  96%|█████████▋| 350/363 [00:20<00:05,  2.48it/s]
Loading 0:  97%|█████████▋| 353/363 [00:20<00:03,  3.16it/s]
Loading 0:  98%|█████████▊| 357/363 [00:20<00:01,  4.32it/s]
Loading 0: 100%|█████████▉| 362/363 [00:20<00:00,  6.43it/s]
                                                            

Job white-bird-1-kto-v1-mkmlizer completed after 154.99s with status: succeeded
Stopping job with name white-bird-1-kto-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.68s
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 white-bird-1-kto-v1
Waiting for inference service white-bird-1-kto-v1 to be ready
Inference service white-bird-1-kto-v1 ready after 130.47946166992188s
Pipeline stage MKMLDeployer completed in 130.94s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.192788600921631s
Received healthy response to inference request in 1.5520319938659668s
Received healthy response to inference request in 1.6717922687530518s
Received healthy response to inference request in 1.5587654113769531s
Received healthy response to inference request in 1.8602337837219238s
5 requests
0 failed requests
5th percentile: 1.5533786773681642
10th percentile: 1.5547253608703613
20th percentile: 1.5574187278747558
30th percentile: 1.5813707828521728
40th percentile: 1.6265815258026124
50th percentile: 1.6717922687530518
60th percentile: 1.7471688747406007
70th percentile: 1.8225454807281494
80th percentile: 1.9267447471618653
90th percentile: 2.059766674041748
95th percentile: 2.126277637481689
99th percentile: 2.1794864082336427
mean time: 1.7671224117279052
Pipeline stage StressChecker completed in 10.14s
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 0.66s
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 0.63s
Shutdown handler de-registered
white-bird-1-kto_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4611.09s
Shutdown handler de-registered
white-bird-1-kto_v1 status is now inactive due to auto deactivation removed underperforming models
white-bird-1-kto_v1 status is now torndown due to DeploymentManager action