bogoconic1-nemo-280k-s60_1503

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-s60_1503_v1

model_name: bogoconic1-nemo-280k-s60_1503_v1

model_group: bogoconic1/nemo-280k-s60

status: torndown

timestamp: 2025-05-02T03:25:13+00:00

num_battles: 8071

num_wins: 3887

celo_rating: 1270.47

family_friendly_score: 0.5836

family_friendly_standard_error: 0.0069715283833604235

submission_type: basic

model_repo: bogoconic1/nemo-280k-s600-chai-step1200

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6028594770732776, 'latency_mean': 1.6586727380752564, 'latency_p50': 1.6382752656936646, 'latency_p90': 1.839864468574524}, {'batch_size': 3, 'throughput': 1.093399864577878, 'latency_mean': 2.7364848709106444, 'latency_p50': 2.7377772331237793, 'latency_p90': 3.0284555673599245}, {'batch_size': 5, 'throughput': 1.300251982133334, 'latency_mean': 3.826026521921158, 'latency_p50': 3.818995952606201, 'latency_p90': 4.294008040428162}, {'batch_size': 6, 'throughput': 1.3647686092312932, 'latency_mean': 4.372490179538727, 'latency_p50': 4.377038955688477, 'latency_p90': 4.904691290855408}, {'batch_size': 8, 'throughput': 1.439492819351935, 'latency_mean': 5.5149036264419555, 'latency_p50': 5.471178412437439, 'latency_p90': 6.206608271598816}, {'batch_size': 10, 'throughput': 1.4693981838370678, 'latency_mean': 6.751932772397995, 'latency_p50': 6.7753307819366455, 'latency_p90': 7.551097321510315}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-s60_1503_v1

is_internal_developer: True

language_model: bogoconic1/nemo-280k-s600-chai-step1200

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-05-01

win_ratio: 0.48160079296245817

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-s60-1503-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s60-1503-v1-mkmlizer to finish
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: Downloaded to shared memory in 65.999s
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfi3wp6dl, device:0
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: quantized model in 36.631s
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step1200 in 102.631s
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1/config.json
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1/special_tokens_map.json
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1/tokenizer_config.json
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1/tokenizer.json
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s60-1503-v1/flywheel_model.0.safetensors
bogoconic1-nemo-280k-s60-1503-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.85it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 51.49it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 47.36it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 42.81it/s]
Loading 0:   8%|▊         | 30/363 [00:00<00:06, 47.65it/s]
Loading 0:  10%|▉         | 35/363 [00:00<00:07, 46.71it/s]
Loading 0:  11%|█         | 40/363 [00:00<00:06, 46.78it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:07, 43.36it/s]
Loading 0:  14%|█▍        | 51/363 [00:01<00:07, 42.18it/s]
Loading 0:  16%|█▌        | 58/363 [00:01<00:06, 49.28it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:10, 29.26it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 37.51it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:07, 38.71it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:07, 39.67it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 44.18it/s]
Loading 0:  26%|██▌       | 95/363 [00:02<00:05, 45.96it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 42.51it/s]
Loading 0:  29%|██▉       | 107/363 [00:02<00:05, 46.55it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:05, 42.69it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:05, 41.56it/s]
Loading 0:  34%|███▍      | 125/363 [00:02<00:04, 48.18it/s]
Loading 0:  36%|███▌      | 131/363 [00:03<00:04, 49.27it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:05, 43.42it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 33.95it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 34.59it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 34.24it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 39.54it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 41.26it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 43.09it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 43.01it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 41.63it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 46.49it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 45.14it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 43.46it/s]
Loading 0:  55%|█████▌    | 201/363 [00:04<00:03, 47.46it/s]
Loading 0:  57%|█████▋    | 206/363 [00:04<00:03, 46.96it/s]
Loading 0:  58%|█████▊    | 211/363 [00:04<00:03, 46.52it/s]
Loading 0:  60%|█████▉    | 217/363 [00:05<00:03, 44.60it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 34.47it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:03, 34.88it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 33.30it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 39.18it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:02, 41.12it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 42.92it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 41.49it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 40.26it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 42.98it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 42.03it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 42.35it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:02, 41.18it/s]
Loading 0:  79%|███████▊  | 285/363 [00:06<00:02, 38.96it/s]
Loading 0:  80%|████████  | 291/363 [00:06<00:01, 42.36it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 40.81it/s]
Loading 0:  83%|████████▎ | 301/363 [00:07<00:01, 41.73it/s]
Loading 0:  84%|████████▍ | 306/363 [00:14<00:23,  2.39it/s]
Loading 0:  85%|████████▌ | 309/363 [00:14<00:18,  2.92it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:14,  3.62it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.38it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:04,  8.83it/s]
Loading 0:  91%|█████████ | 330/363 [00:14<00:03, 10.69it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.24it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:00, 19.82it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 22.02it/s]
Loading 0:  98%|█████████▊| 355/363 [00:15<00:00, 26.80it/s]
Loading 0:  99%|█████████▉| 360/363 [00:15<00:00, 30.17it/s]
                                                            
Job bogoconic1-nemo-280k-s60-1503-v1-mkmlizer completed after 134.99s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s60-1503-v1-mkmlizer
Pipeline stage MKMLizer completed in 135.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s60-1503-v1
Waiting for inference service bogoconic1-nemo-280k-s60-1503-v1 to be ready
Inference service bogoconic1-nemo-280k-s60-1503-v1 ready after 140.69556164741516s
Pipeline stage MKMLDeployer completed in 141.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.512606620788574s
Received healthy response to inference request in 1.694808006286621s
Received healthy response to inference request in 1.686750888824463s
Received healthy response to inference request in 1.5853567123413086s
Received healthy response to inference request in 1.7096996307373047s
5 requests
0 failed requests
5th percentile: 1.6056355476379394
10th percentile: 1.6259143829345704
20th percentile: 1.6664720535278321
30th percentile: 1.6883623123168945
40th percentile: 1.691585159301758
50th percentile: 1.694808006286621
60th percentile: 1.7007646560668945
70th percentile: 1.706721305847168
80th percentile: 1.8702810287475589
90th percentile: 2.1914438247680663
95th percentile: 2.35202522277832
99th percentile: 2.4804903411865236
mean time: 1.8378443717956543
Pipeline stage StressChecker completed in 11.05s
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 0.82s
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 0.75s
Shutdown handler de-registered
bogoconic1-nemo-280k-s60_1503_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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service bogoconic1-nemo-280k-s60-1503-v1-profiler
Waiting for inference service bogoconic1-nemo-280k-s60-1503-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2948.62s
Shutdown handler de-registered
bogoconic1-nemo-280k-s60_1503_v1 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-nemo-280k-s60_1503_v1 status is now torndown due to DeploymentManager action