rirv938-testing-model-350

developer_uid: rirv938

submission_id: rirv938-testing-model-350_v1

model_name: rirv938-testing-model-350_v1

model_group: rirv938/testing_model_35

status: inactive

timestamp: 2024-12-21T03:13:13+00:00

num_battles: 18809

num_wins: 9389

celo_rating: 1261.77

family_friendly_score: 0.5756

family_friendly_standard_error: 0.00698977310075227

submission_type: basic

model_repo: rirv938/testing_model_350

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6380466849535178, 'latency_mean': 1.567190397977829, 'latency_p50': 1.5453358888626099, 'latency_p90': 1.741537594795227}, {'batch_size': 3, 'throughput': 1.2765474335582812, 'latency_mean': 2.3440943503379823, 'latency_p50': 2.3611016273498535, 'latency_p90': 2.5547536134719846}, {'batch_size': 5, 'throughput': 1.6140575997664903, 'latency_mean': 3.081446328163147, 'latency_p50': 3.067585587501526, 'latency_p90': 3.4218917369842528}, {'batch_size': 6, 'throughput': 1.7154301442608177, 'latency_mean': 3.4819731867313384, 'latency_p50': 3.4964122772216797, 'latency_p90': 3.9296925544738768}, {'batch_size': 8, 'throughput': 1.8834501307725333, 'latency_mean': 4.210655372142792, 'latency_p50': 4.208469390869141, 'latency_p90': 4.783865666389465}, {'batch_size': 10, 'throughput': 1.9598794787648888, 'latency_mean': 5.055194561481476, 'latency_p50': 5.052567839622498, 'latency_p90': 5.681518530845642}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: rirv938-testing-model-350_v1

is_internal_developer: True

language_model: rirv938/testing_model_350

model_size: 13B

ranking_group: single

throughput_3p7s: 1.78

us_pacific_date: 2024-12-20

win_ratio: 0.4991759264182041

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', '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 rirv938-testing-model-350-v1-mkmlizer
Waiting for job on rirv938-testing-model-350-v1-mkmlizer to finish
rirv938-testing-model-350-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-testing-model-350-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-testing-model-350-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-testing-model-350-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-testing-model-350-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-testing-model-350-v1-mkmlizer: ║       /___/                                                         ║
rirv938-testing-model-350-v1-mkmlizer: ║                                                                     ║
rirv938-testing-model-350-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
rirv938-testing-model-350-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-testing-model-350-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-testing-model-350-v1-mkmlizer: ║                                                                     ║
rirv938-testing-model-350-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-testing-model-350-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-testing-model-350-v1-mkmlizer: ║                                                                     ║
rirv938-testing-model-350-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-testing-model-350-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-testing-model-350-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
rirv938-testing-model-350-v1-mkmlizer: ║                                                                     ║
rirv938-testing-model-350-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-testing-model-350-v1-mkmlizer: Downloaded to shared memory in 111.073s
rirv938-testing-model-350-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp66ns8_oo, device:0
rirv938-testing-model-350-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-testing-model-350-v1-mkmlizer: quantized model in 41.962s
rirv938-testing-model-350-v1-mkmlizer: Processed model rirv938/testing_model_350 in 153.035s
rirv938-testing-model-350-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-testing-model-350-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-testing-model-350-v1/config.json
rirv938-testing-model-350-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-testing-model-350-v1/special_tokens_map.json
rirv938-testing-model-350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-testing-model-350-v1/tokenizer_config.json
rirv938-testing-model-350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-testing-model-350-v1/tokenizer.json
rirv938-testing-model-350-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-testing-model-350-v1/flywheel_model.0.safetensors
rirv938-testing-model-350-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:17, 20.88it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:13, 26.07it/s]
Loading 0:   4%|▍         | 14/363 [00:00<00:15, 22.77it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:11, 28.85it/s]
Loading 0:   6%|▋         | 23/363 [00:01<00:16, 20.99it/s]
Loading 0:   7%|▋         | 26/363 [00:01<00:17, 18.80it/s]
Loading 0:   9%|▊         | 31/363 [00:01<00:13, 24.19it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:13, 24.85it/s]
Loading 0:  11%|█         | 39/363 [00:01<00:11, 28.49it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:11, 27.54it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:10, 30.22it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:10, 28.98it/s]
Loading 0:  15%|█▌        | 56/363 [00:02<00:10, 29.27it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:12, 24.80it/s]
Loading 0:  18%|█▊        | 64/363 [00:02<00:13, 21.71it/s]
Loading 0:  20%|█▉        | 71/363 [00:02<00:10, 28.38it/s]
Loading 0:  21%|██        | 75/363 [00:02<00:10, 28.17it/s]
Loading 0:  21%|██▏       | 78/363 [00:03<00:11, 25.52it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:10, 27.97it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:11, 24.85it/s]
Loading 0:  26%|██▌       | 93/363 [00:03<00:08, 31.13it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:09, 29.10it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:11, 23.44it/s]
Loading 0:  29%|██▊       | 104/363 [00:04<00:12, 20.87it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:09, 27.65it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 27.13it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 29.60it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:08, 28.23it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:07, 30.95it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 28.65it/s]
Loading 0:  38%|███▊      | 137/363 [00:05<00:07, 28.71it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:09, 24.16it/s]
Loading 0:  40%|███▉      | 145/363 [00:05<00:09, 22.56it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:09, 21.71it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:08, 25.94it/s]
Loading 0:  44%|████▎     | 158/363 [00:06<00:08, 23.73it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:06, 30.30it/s]
Loading 0:  47%|████▋     | 169/363 [00:06<00:06, 28.37it/s]
Loading 0:  48%|████▊     | 173/363 [00:06<00:06, 30.45it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:06, 26.63it/s]
Loading 0:  50%|█████     | 182/363 [00:07<00:07, 23.27it/s]
Loading 0:  51%|█████     | 185/363 [00:07<00:08, 20.90it/s]
Loading 0:  53%|█████▎    | 192/363 [00:07<00:06, 27.23it/s]
Loading 0:  54%|█████▎    | 195/363 [00:07<00:06, 25.45it/s]
Loading 0:  55%|█████▌    | 201/363 [00:07<00:05, 30.04it/s]
Loading 0:  56%|█████▋    | 205/363 [00:07<00:05, 28.85it/s]
Loading 0:  58%|█████▊    | 210/363 [00:07<00:04, 30.79it/s]
Loading 0:  59%|█████▉    | 214/363 [00:08<00:05, 29.49it/s]
Loading 0:  60%|██████    | 218/363 [00:08<00:04, 29.74it/s]
Loading 0:  61%|██████    | 222/363 [00:08<00:04, 31.76it/s]
Loading 0:  62%|██████▏   | 226/363 [00:08<00:06, 21.23it/s]
Loading 0:  63%|██████▎   | 230/363 [00:08<00:06, 20.92it/s]
Loading 0:  65%|██████▌   | 237/363 [00:09<00:04, 27.74it/s]
Loading 0:  66%|██████▋   | 241/363 [00:09<00:04, 27.38it/s]
Loading 0:  68%|██████▊   | 246/363 [00:09<00:03, 29.25it/s]
Loading 0:  69%|██████▉   | 250/363 [00:09<00:04, 28.06it/s]
Loading 0:  70%|███████   | 255/363 [00:09<00:03, 30.43it/s]
Loading 0:  71%|███████▏  | 259/363 [00:09<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, 21.19it/s]
Loading 0:  75%|███████▌  | 273/363 [00:10<00:03, 27.74it/s]
Loading 0:  76%|███████▌  | 276/363 [00:10<00:03, 25.78it/s]
Loading 0:  78%|███████▊  | 282/363 [00:10<00:02, 30.50it/s]
Loading 0:  79%|███████▉  | 286/363 [00:10<00:02, 28.18it/s]
Loading 0:  80%|████████  | 291/363 [00:10<00:02, 30.09it/s]
Loading 0:  81%|████████▏ | 295/363 [00:11<00:02, 27.87it/s]
Loading 0:  82%|████████▏ | 299/363 [00:11<00:02, 27.91it/s]
Loading 0:  84%|████████▎ | 304/363 [00:11<00:02, 23.71it/s]
Loading 0:  85%|████████▍ | 307/363 [00:11<00:02, 22.67it/s]
Loading 0:  86%|████████▌ | 311/363 [00:11<00:02, 22.03it/s]
Loading 0:  88%|████████▊ | 318/363 [00:12<00:01, 28.88it/s]
Loading 0:  89%|████████▊ | 322/363 [00:12<00:01, 27.52it/s]
Loading 0:  90%|█████████ | 327/363 [00:12<00:01, 30.15it/s]
Loading 0:  91%|█████████ | 331/363 [00:12<00:01, 29.10it/s]
Loading 0:  93%|█████████▎| 336/363 [00:12<00:00, 31.84it/s]
Loading 0:  94%|█████████▎| 340/363 [00:12<00:00, 30.26it/s]
Loading 0:  95%|█████████▍| 344/363 [00:19<00:09,  1.97it/s]
Loading 0:  96%|█████████▌| 348/363 [00:19<00:05,  2.66it/s]
Loading 0:  97%|█████████▋| 353/363 [00:20<00:02,  3.84it/s]
Loading 0:  98%|█████████▊| 357/363 [00:20<00:01,  4.98it/s]
                                                            
Job rirv938-testing-model-350-v1-mkmlizer completed after 175.43s with status: succeeded
Stopping job with name rirv938-testing-model-350-v1-mkmlizer
Pipeline stage MKMLizer completed in 175.90s
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 rirv938-testing-model-350-v1
Waiting for inference service rirv938-testing-model-350-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service rirv938-testing-model-350-v1 ready after 251.1255292892456s
Pipeline stage MKMLDeployer completed in 251.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7146570682525635s
Received healthy response to inference request in 1.2764458656311035s
Received healthy response to inference request in 1.2350080013275146s
Received healthy response to inference request in 0.890571117401123s
Received healthy response to inference request in 1.159757137298584s
5 requests
0 failed requests
5th percentile: 0.9444083213806153
10th percentile: 0.9982455253601075
20th percentile: 1.1059199333190919
30th percentile: 1.1748073101043701
40th percentile: 1.2049076557159424
50th percentile: 1.2350080013275146
60th percentile: 1.2515831470489502
70th percentile: 1.2681582927703858
80th percentile: 1.3640881061553956
90th percentile: 1.5393725872039796
95th percentile: 1.6270148277282714
99th percentile: 1.6971286201477052
mean time: 1.2552878379821777
Pipeline stage StressChecker completed in 7.81s
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 0.76s
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 0.70s
Shutdown handler de-registered
rirv938-testing-model-350_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 2368.78s
Shutdown handler de-registered
rirv938-testing-model-350_v1 status is now inactive due to auto deactivation removed underperforming models