udbhavbamba-nemo13b-10k_27651

developer_uid: udbhavbamba

submission_id: udbhavbamba-nemo13b-10k_27651_v2

model_name: resubmit

model_group: udbhavbamba/nemo13b_10k_

status: torndown

timestamp: 2025-03-23T07:21:54+00:00

num_battles: 10239

num_wins: 4793

celo_rating: 1255.62

family_friendly_score: 0.5902000000000001

family_friendly_standard_error: 0.006955055139968338

submission_type: basic

model_repo: udbhavbamba/nemo13b_10k_sft_v2_ep2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6008523992031828, 'latency_mean': 1.664231824874878, 'latency_p50': 1.6669301986694336, 'latency_p90': 1.8344655275344848}, {'batch_size': 3, 'throughput': 1.093447930710552, 'latency_mean': 2.734631357192993, 'latency_p50': 2.7192288637161255, 'latency_p90': 3.01631498336792}, {'batch_size': 5, 'throughput': 1.3105529700239704, 'latency_mean': 3.7937426578998568, 'latency_p50': 3.813844084739685, 'latency_p90': 4.242757534980774}, {'batch_size': 6, 'throughput': 1.3825152914300676, 'latency_mean': 4.307313125133515, 'latency_p50': 4.288470149040222, 'latency_p90': 4.767934203147888}, {'batch_size': 8, 'throughput': 1.4518225798209816, 'latency_mean': 5.478873922824859, 'latency_p50': 5.4330514669418335, 'latency_p90': 6.164064264297485}, {'batch_size': 10, 'throughput': 1.4834775690238804, 'latency_mean': 6.702454553842545, 'latency_p50': 6.687017917633057, 'latency_p90': 7.547393703460693}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: resubmit

is_internal_developer: False

language_model: udbhavbamba/nemo13b_10k_sft_v2_ep2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-03-23

win_ratio: 0.4681121203242504

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST]{user_name}: {message}[/INST]', '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 udbhavbamba-nemo13b-10k-27651-v2-mkmlizer
Waiting for job on udbhavbamba-nemo13b-10k-27651-v2-mkmlizer to finish
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║     _____            __           __                                ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║       /___/                                                         ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  https://mk1.ai                                                     ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  belonging to:                                                      ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  Chai Research Corp.                                                ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: Downloaded to shared memory in 31.655s
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6hw2xbcv, device:0
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: quantized model in 37.277s
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: Processed model udbhavbamba/nemo13b_10k_sft_v2_ep2 in 68.933s
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: creating bucket guanaco-mkml-models
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2/special_tokens_map.json
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2/config.json
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2/tokenizer_config.json
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2/tokenizer.json
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-27651-v2/flywheel_model.0.safetensors
udbhavbamba-nemo13b-10k-27651-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.39it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 47.81it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:08, 40.06it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 37.95it/s]
Loading 0:   8%|▊         | 30/363 [00:00<00:07, 42.34it/s]
Loading 0:  10%|▉         | 35/363 [00:00<00:07, 41.59it/s]
Loading 0:  11%|█         | 40/363 [00:00<00:07, 41.10it/s]
Loading 0:  12%|█▏        | 45/363 [00:01<00:07, 40.60it/s]
Loading 0:  14%|█▍        | 50/363 [00:01<00:09, 31.96it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:08, 35.74it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:08, 37.23it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:12, 23.48it/s]
Loading 0:  20%|█▉        | 71/363 [00:02<00:09, 30.69it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:09, 31.39it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 34.46it/s]
Loading 0:  23%|██▎       | 84/363 [00:02<00:08, 33.07it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:07, 35.28it/s]
Loading 0:  26%|██▌       | 93/363 [00:02<00:07, 34.21it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:07, 35.83it/s]
Loading 0:  28%|██▊       | 102/363 [00:02<00:07, 34.33it/s]
Loading 0:  29%|██▉       | 106/363 [00:03<00:07, 34.36it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 38.24it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:06, 35.62it/s]
Loading 0:  33%|███▎      | 120/363 [00:03<00:07, 33.01it/s]
Loading 0:  34%|███▍      | 124/363 [00:03<00:06, 34.70it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:07, 31.58it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:06, 33.50it/s]
Loading 0:  37%|███▋      | 136/363 [00:03<00:07, 31.29it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:08, 26.61it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:08, 25.48it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:08, 24.81it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:07, 29.06it/s]
Loading 0:  44%|████▎     | 158/363 [00:04<00:07, 27.98it/s]
Loading 0:  45%|████▍     | 163/363 [00:04<00:06, 32.39it/s]
Loading 0:  46%|████▌     | 167/363 [00:05<00:06, 30.27it/s]
Loading 0:  47%|████▋     | 172/363 [00:05<00:05, 33.88it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:06, 30.48it/s]
Loading 0:  50%|████▉     | 181/363 [00:05<00:05, 34.24it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 31.22it/s]
Loading 0:  53%|█████▎    | 192/363 [00:05<00:04, 38.76it/s]
Loading 0:  54%|█████▍    | 197/363 [00:05<00:04, 38.93it/s]
Loading 0:  56%|█████▌    | 202/363 [00:05<00:03, 40.35it/s]
Loading 0:  57%|█████▋    | 208/363 [00:06<00:03, 41.22it/s]
Loading 0:  59%|█████▊    | 213/363 [00:06<00:03, 41.02it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:03, 43.26it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:04, 33.78it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:03, 34.64it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:03, 34.18it/s]
Loading 0:  66%|██████▌   | 238/363 [00:06<00:03, 41.54it/s]
Loading 0:  67%|██████▋   | 244/363 [00:07<00:02, 42.22it/s]
Loading 0:  69%|██████▊   | 249/363 [00:07<00:02, 38.76it/s]
Loading 0:  71%|███████   | 256/363 [00:07<00:02, 44.08it/s]
Loading 0:  72%|███████▏  | 262/363 [00:07<00:02, 43.05it/s]
Loading 0:  74%|███████▎  | 267/363 [00:07<00:02, 42.91it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:01, 47.34it/s]
Loading 0:  77%|███████▋  | 280/363 [00:07<00:01, 45.35it/s]
Loading 0:  79%|███████▊  | 285/363 [00:07<00:01, 44.51it/s]
Loading 0:  80%|████████  | 292/363 [00:08<00:01, 48.95it/s]
Loading 0:  82%|████████▏ | 298/363 [00:08<00:01, 47.13it/s]
Loading 0:  84%|████████▎ | 304/363 [00:15<00:20,  2.83it/s]
Loading 0:  85%|████████▍ | 308/363 [00:15<00:15,  3.54it/s]
Loading 0:  86%|████████▌ | 312/363 [00:15<00:11,  4.49it/s]
Loading 0:  88%|████████▊ | 319/363 [00:15<00:06,  6.89it/s]
Loading 0:  89%|████████▉ | 324/363 [00:15<00:04,  8.92it/s]
Loading 0:  91%|█████████ | 329/363 [00:15<00:02, 11.44it/s]
Loading 0:  92%|█████████▏| 334/363 [00:15<00:01, 14.64it/s]
Loading 0:  93%|█████████▎| 339/363 [00:15<00:01, 16.66it/s]
Loading 0:  95%|█████████▌| 346/363 [00:16<00:00, 22.95it/s]
Loading 0:  97%|█████████▋| 351/363 [00:16<00:00, 25.72it/s]
Loading 0:  98%|█████████▊| 356/363 [00:16<00:00, 28.62it/s]
Loading 0:  99%|█████████▉| 361/363 [00:16<00:00, 32.22it/s]
                                                            
Job udbhavbamba-nemo13b-10k-27651-v2-mkmlizer completed after 94.69s with status: succeeded
Stopping job with name udbhavbamba-nemo13b-10k-27651-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.20s
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 udbhavbamba-nemo13b-10k-27651-v2
Waiting for inference service udbhavbamba-nemo13b-10k-27651-v2 to be ready
Inference service udbhavbamba-nemo13b-10k-27651-v2 ready after 90.7293221950531s
Pipeline stage MKMLDeployer completed in 91.30s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3004844188690186s
Received healthy response to inference request in 1.56321120262146s
Received healthy response to inference request in 1.5753707885742188s
Received healthy response to inference request in 1.6360952854156494s
Received healthy response to inference request in 1.7219624519348145s
5 requests
0 failed requests
5th percentile: 1.5656431198120118
10th percentile: 1.5680750370025636
20th percentile: 1.572938871383667
30th percentile: 1.587515687942505
40th percentile: 1.6118054866790772
50th percentile: 1.6360952854156494
60th percentile: 1.6704421520233155
70th percentile: 1.7047890186309815
80th percentile: 1.8376668453216554
90th percentile: 2.0690756320953367
95th percentile: 2.1847800254821776
99th percentile: 2.27734354019165
mean time: 1.7594248294830321
Pipeline stage StressChecker completed in 10.02s
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 0.67s
Shutdown handler de-registered
udbhavbamba-nemo13b-10k_27651_v2 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 2600.26s
Shutdown handler de-registered
udbhavbamba-nemo13b-10k_27651_v2 status is now inactive due to auto deactivation removed underperforming models
udbhavbamba-nemo13b-10k_27651_v2 status is now torndown due to DeploymentManager action