bogoconic1-nemo-280k-avg_1215

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-avg_1215_v1

model_name: bogoconic1-nemo-280k-avg_1215_v1

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T11:28:13+00:00

num_battles: 9252

num_wins: 4141

celo_rating: 1253.15

family_friendly_score: 0.5640000000000001

family_friendly_standard_error: 0.007012902394871898

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-simpo-step50

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6067074389212247, 'latency_mean': 1.6481848347187043, 'latency_p50': 1.651762843132019, 'latency_p90': 1.821822738647461}, {'batch_size': 3, 'throughput': 1.0962049427868492, 'latency_mean': 2.72777342915535, 'latency_p50': 2.726237654685974, 'latency_p90': 3.005063605308533}, {'batch_size': 5, 'throughput': 1.3135851241410434, 'latency_mean': 3.7933156073093413, 'latency_p50': 3.8097110986709595, 'latency_p90': 4.247054505348205}, {'batch_size': 6, 'throughput': 1.3813616475479356, 'latency_mean': 4.320350111722946, 'latency_p50': 4.292619466781616, 'latency_p90': 4.788827228546142}, {'batch_size': 8, 'throughput': 1.4436520342141936, 'latency_mean': 5.503076820373535, 'latency_p50': 5.5108795166015625, 'latency_p90': 6.22915358543396}, {'batch_size': 10, 'throughput': 1.4776050710407906, 'latency_mean': 6.72699083328247, 'latency_p50': 6.753777623176575, 'latency_p90': 7.511961960792542}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-avg_1215_v1

is_internal_developer: True

language_model: bogoconic1/nemo-280k-avg-chai-simpo-step50

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-05-02

win_ratio: 0.4475789018590575

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\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 bogoconic1-nemo-280k-avg-1215-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-avg-1215-v1-mkmlizer to finish
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: Downloaded to shared memory in 47.895s
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm5d2hj04, device:0
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: quantized model in 36.570s
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-simpo-step50 in 84.466s
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1/config.json
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1/special_tokens_map.json
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1/tokenizer_config.json
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1/tokenizer.json
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-1215-v1/flywheel_model.0.safetensors
bogoconic1-nemo-280k-avg-1215-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 27.78it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 45.61it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:07, 46.34it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:09, 37.18it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 46.88it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 44.61it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 43.47it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 47.92it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 45.36it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.81it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 32.47it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:07, 37.88it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:07, 39.28it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:06, 40.58it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:06, 39.95it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:06, 40.28it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:05, 44.86it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:05, 44.74it/s]
Loading 0:  30%|███       | 110/363 [00:02<00:05, 43.42it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 43.74it/s]
Loading 0:  33%|███▎      | 120/363 [00:02<00:05, 41.81it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 43.74it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 43.89it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.33it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 44.36it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 26.73it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 27.07it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 34.95it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 37.09it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 39.01it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 41.44it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 35.01it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 42.38it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 42.66it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 41.31it/s]
Loading 0:  55%|█████▍    | 198/363 [00:04<00:03, 41.70it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 35.55it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 42.68it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 42.28it/s]
Loading 0:  61%|██████    | 221/363 [00:05<00:03, 46.21it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:04, 28.74it/s]
Loading 0:  63%|██████▎   | 230/363 [00:05<00:04, 29.15it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 36.76it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 38.45it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 39.27it/s]
Loading 0:  69%|██████▉   | 252/363 [00:06<00:02, 41.16it/s]
Loading 0:  71%|███████   | 257/363 [00:06<00:02, 35.80it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 42.40it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 41.79it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 41.41it/s]
Loading 0:  77%|███████▋  | 279/363 [00:07<00:01, 42.50it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 36.35it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 43.81it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 42.81it/s]
Loading 0:  83%|████████▎ | 302/363 [00:07<00:01, 46.55it/s]
Loading 0:  85%|████████▍ | 307/363 [00:14<00:22,  2.51it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:14,  3.41it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:07,  5.42it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:05,  7.28it/s]
Loading 0:  91%|█████████ | 331/363 [00:15<00:03,  9.27it/s]
Loading 0:  93%|█████████▎| 338/363 [00:15<00:01, 13.09it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:01, 16.35it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 19.44it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 25.44it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 28.27it/s]
                                                            
Job bogoconic1-nemo-280k-avg-1215-v1-mkmlizer completed after 114.74s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-avg-1215-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.23s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-avg-1215-v1
Waiting for inference service bogoconic1-nemo-280k-avg-1215-v1 to be ready
Inference service bogoconic1-nemo-280k-avg-1215-v1 ready after 150.56612372398376s
Pipeline stage MKMLDeployer completed in 151.17s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.2838234901428223s
Received healthy response to inference request in 1.8325483798980713s
Received healthy response to inference request in 1.6542623043060303s
Received healthy response to inference request in 1.725083589553833s
5 requests
1 failed requests
5th percentile: 1.6684265613555909
10th percentile: 1.6825908184051515
20th percentile: 1.7109193325042724
30th percentile: 1.7465765476226807
40th percentile: 1.789562463760376
50th percentile: 1.8325483798980713
60th percentile: 2.0130584239959717
70th percentile: 2.193568468093872
80th percentile: 5.851764106750491
90th percentile: 12.987645339965823
95th percentile: 16.555585956573484
99th percentile: 19.40993844985962
mean time: 5.5238488674163815
%s, retrying in %s seconds...
Received healthy response to inference request in 2.0728840827941895s
Received healthy response to inference request in 1.6790189743041992s
Received healthy response to inference request in 2.085221529006958s
Received healthy response to inference request in 1.8436329364776611s
Received healthy response to inference request in 1.705772876739502s
5 requests
0 failed requests
5th percentile: 1.6843697547912597
10th percentile: 1.6897205352783202
20th percentile: 1.7004220962524415
30th percentile: 1.7333448886871339
40th percentile: 1.7884889125823975
50th percentile: 1.8436329364776611
60th percentile: 1.9353333950042724
70th percentile: 2.0270338535308836
80th percentile: 2.0753515720367433
90th percentile: 2.0802865505218504
95th percentile: 2.082754039764404
99th percentile: 2.084728031158447
mean time: 1.877306079864502
Pipeline stage StressChecker completed in 39.52s
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 0.69s
Shutdown handler de-registered
bogoconic1-nemo-280k-avg_1215_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 2962.57s
Shutdown handler de-registered
bogoconic1-nemo-280k-avg_1215_v1 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-nemo-280k-avg_1215_v1 status is now torndown due to DeploymentManager action