google-gemma-2-27b-it

developer_uid: NischayDnk

submission_id: google-gemma-2-27b-it_v16

model_name: google-gemma-2-27b-it_v16

model_group: google/gemma-2-27b-it

status: torndown

timestamp: 2025-05-17T22:26:32+00:00

num_battles: 7391

num_wins: 3509

celo_rating: 1261.63

family_friendly_score: 0.6828000000000001

family_friendly_standard_error: 0.0065815524004599404

submission_type: basic

model_repo: google/gemma-2-27b-it

model_architecture: Gemma2ForCausalLM

model_num_parameters: 28731935232.0

best_of: 5

max_input_tokens: 768

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.38657036318367577, 'latency_mean': 2.5867928040027617, 'latency_p50': 2.581552505493164, 'latency_p90': 2.8864749908447265}, {'batch_size': 3, 'throughput': 0.8497262185666681, 'latency_mean': 3.515948978662491, 'latency_p50': 3.4619929790496826, 'latency_p90': 3.9362595319747924}, {'batch_size': 5, 'throughput': 1.1556883641781486, 'latency_mean': 4.310936717987061, 'latency_p50': 4.270851135253906, 'latency_p90': 4.898579072952271}, {'batch_size': 6, 'throughput': 1.2737674896475437, 'latency_mean': 4.682085155248642, 'latency_p50': 4.701482057571411, 'latency_p90': 5.252707672119141}, {'batch_size': 8, 'throughput': 1.4711979403094144, 'latency_mean': 5.397136948108673, 'latency_p50': 5.362178325653076, 'latency_p90': 6.130952167510986}, {'batch_size': 10, 'throughput': 1.611651319179612, 'latency_mean': 6.122779207229614, 'latency_p50': 6.123095631599426, 'latency_p90': 6.890010738372803}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: google-gemma-2-27b-it_v16

is_internal_developer: False

language_model: google/gemma-2-27b-it

model_size: 29B

ranking_group: single

throughput_3p7s: 0.94

us_pacific_date: 2025-05-17

win_ratio: 0.47476660803680154

generation_params: {'temperature': 0.45, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 40, 'presence_penalty': 0.35, 'frequency_penalty': 0.35, 'stopping_words': ['<|im_end|>', '\n', '<|im_start|>'], 'max_input_tokens': 768, 'best_of': 5, 'max_output_tokens': 64}

formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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 google-gemma-2-27b-it-v16-mkmlizer
Waiting for job on google-gemma-2-27b-it-v16-mkmlizer to finish
google-gemma-2-27b-it-v16-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
google-gemma-2-27b-it-v16-mkmlizer: ║     _____            __           __                                ║
google-gemma-2-27b-it-v16-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
google-gemma-2-27b-it-v16-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
google-gemma-2-27b-it-v16-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
google-gemma-2-27b-it-v16-mkmlizer: ║       /___/                                                         ║
google-gemma-2-27b-it-v16-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v16-mkmlizer: ║  Version: 0.12.8                                                    ║
google-gemma-2-27b-it-v16-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
google-gemma-2-27b-it-v16-mkmlizer: ║  https://mk1.ai                                                     ║
google-gemma-2-27b-it-v16-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
google-gemma-2-27b-it-v16-mkmlizer: ║  belonging to:                                                      ║
google-gemma-2-27b-it-v16-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v16-mkmlizer: ║  Chai Research Corp.                                                ║
google-gemma-2-27b-it-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
google-gemma-2-27b-it-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
google-gemma-2-27b-it-v16-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
google-gemma-2-27b-it-v16-mkmlizer: Downloaded to shared memory in 59.476s
google-gemma-2-27b-it-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdb1wh_fv, device:0
google-gemma-2-27b-it-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
google-gemma-2-27b-it-v16-mkmlizer: quantized model in 65.397s
google-gemma-2-27b-it-v16-mkmlizer: Processed model google/gemma-2-27b-it in 124.873s
google-gemma-2-27b-it-v16-mkmlizer: creating bucket guanaco-mkml-models
google-gemma-2-27b-it-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
google-gemma-2-27b-it-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/google-gemma-2-27b-it-v16
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/config.json
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/special_tokens_map.json
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/tokenizer_config.json
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/tokenizer.model
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/tokenizer.json
google-gemma-2-27b-it-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/google-gemma-2-27b-it-v16/flywheel_model.2.safetensors
google-gemma-2-27b-it-v16-mkmlizer: 
Loading 0:   0%|          | 0/508 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/508 [00:00<00:12, 39.65it/s]
Loading 0:   2%|▏         | 12/508 [00:00<00:10, 45.82it/s]
Loading 0:   3%|▎         | 17/508 [00:00<00:14, 34.41it/s]
Loading 0:   5%|▌         | 27/508 [00:00<00:10, 45.41it/s]
Loading 0:   6%|▋         | 32/508 [00:00<00:16, 29.41it/s]
Loading 0:   7%|▋         | 38/508 [00:01<00:14, 32.38it/s]
Loading 0:   9%|▉         | 47/508 [00:01<00:11, 40.48it/s]
Loading 0:  10%|█         | 52/508 [00:01<00:10, 42.30it/s]
Loading 0:  11%|█▏        | 58/508 [00:01<00:10, 41.33it/s]
Loading 0:  12%|█▏        | 63/508 [00:01<00:10, 43.25it/s]
Loading 0:  13%|█▎        | 68/508 [00:01<00:10, 40.29it/s]
Loading 0:  14%|█▍        | 73/508 [00:02<00:15, 28.40it/s]
Loading 0:  15%|█▌        | 78/508 [00:02<00:14, 30.34it/s]
Loading 0:  16%|█▌        | 82/508 [00:02<00:13, 30.71it/s]
Loading 0:  17%|█▋        | 88/508 [00:02<00:12, 33.92it/s]
Loading 0:  19%|█▉        | 97/508 [00:02<00:09, 41.69it/s]
Loading 0:  20%|██        | 103/508 [00:02<00:08, 45.44it/s]
Loading 0:  21%|██▏       | 108/508 [00:02<00:09, 40.97it/s]
Loading 0:  22%|██▏       | 114/508 [00:02<00:08, 45.22it/s]
Loading 0:  23%|██▎       | 119/508 [00:03<00:12, 31.21it/s]
Loading 0:  25%|██▍       | 126/508 [00:03<00:10, 35.40it/s]
Loading 0:  27%|██▋       | 135/508 [00:03<00:08, 41.69it/s]
Loading 0:  28%|██▊       | 140/508 [00:03<00:08, 43.21it/s]
Loading 0:  29%|██▊       | 146/508 [00:03<00:08, 42.23it/s]
Loading 0:  30%|██▉       | 152/508 [00:03<00:07, 46.00it/s]
Loading 0:  31%|███       | 157/508 [00:04<00:08, 42.56it/s]
Loading 0:  32%|███▏      | 163/508 [00:04<00:07, 46.43it/s]
Loading 0:  33%|███▎      | 168/508 [00:04<00:07, 44.33it/s]
Loading 0:  34%|███▍      | 173/508 [00:04<00:11, 28.06it/s]
Loading 0:  35%|███▌      | 180/508 [00:04<00:09, 32.89it/s]
Loading 0:  37%|███▋      | 188/508 [00:04<00:08, 39.58it/s]
Loading 0:  38%|███▊      | 193/508 [00:19<03:49,  1.37it/s]
Loading 0:  39%|███▉      | 199/508 [00:19<02:39,  1.93it/s]
Loading 0:  40%|████      | 204/508 [00:19<02:02,  2.49it/s]
Loading 0:  42%|████▏     | 211/508 [00:19<01:20,  3.68it/s]
Loading 0:  43%|████▎     | 216/508 [00:20<01:02,  4.66it/s]
Loading 0:  44%|████▍     | 223/508 [00:20<00:42,  6.74it/s]
Loading 0:  45%|████▍     | 227/508 [00:20<00:34,  8.23it/s]
Loading 0:  46%|████▌     | 234/508 [00:20<00:23, 11.57it/s]
Loading 0:  47%|████▋     | 240/508 [00:20<00:17, 15.28it/s]
Loading 0:  48%|████▊     | 245/508 [00:20<00:14, 17.98it/s]
Loading 0:  49%|████▉     | 251/508 [00:20<00:11, 22.94it/s]
Loading 0:  50%|█████     | 256/508 [00:21<00:10, 23.49it/s]
Loading 0:  51%|█████▏    | 261/508 [00:21<00:11, 22.35it/s]
Loading 0:  53%|█████▎    | 268/508 [00:21<00:08, 27.71it/s]
Loading 0:  54%|█████▍    | 276/508 [00:21<00:06, 34.85it/s]
Loading 0:  55%|█████▌    | 281/508 [00:21<00:06, 33.38it/s]
Loading 0:  57%|█████▋    | 289/508 [00:21<00:05, 37.75it/s]
Loading 0:  58%|█████▊    | 295/508 [00:22<00:05, 42.02it/s]
Loading 0:  59%|█████▉    | 300/508 [00:22<00:05, 39.47it/s]
Loading 0:  60%|██████    | 306/508 [00:22<00:04, 43.95it/s]
Loading 0:  61%|██████    | 311/508 [00:22<00:04, 45.28it/s]
Loading 0:  62%|██████▏   | 316/508 [00:22<00:06, 29.28it/s]
Loading 0:  64%|██████▎   | 323/508 [00:22<00:05, 34.08it/s]
Loading 0:  65%|██████▌   | 331/508 [00:23<00:04, 40.74it/s]
Loading 0:  66%|██████▌   | 336/508 [00:23<00:04, 37.55it/s]
Loading 0:  68%|██████▊   | 344/508 [00:23<00:03, 41.97it/s]
Loading 0:  69%|██████▉   | 350/508 [00:23<00:03, 45.68it/s]
Loading 0:  70%|██████▉   | 355/508 [00:23<00:03, 41.06it/s]
Loading 0:  71%|███████   | 360/508 [00:23<00:04, 30.14it/s]
Loading 0:  72%|███████▏  | 367/508 [00:24<00:04, 34.77it/s]
Loading 0:  74%|███████▍  | 375/508 [00:24<00:03, 40.78it/s]
Loading 0:  75%|███████▍  | 380/508 [00:24<00:03, 37.19it/s]
Loading 0:  76%|███████▋  | 388/508 [00:24<00:02, 41.69it/s]
Loading 0:  78%|███████▊  | 395/508 [00:24<00:02, 47.21it/s]
Loading 0:  79%|███████▉  | 401/508 [00:24<00:02, 40.71it/s]
Loading 0:  80%|███████▉  | 406/508 [00:25<00:03, 30.79it/s]
Loading 0:  81%|████████  | 412/508 [00:25<00:02, 33.52it/s]
Loading 0:  83%|████████▎ | 421/508 [00:25<00:02, 40.13it/s]
Loading 0:  84%|████████▍ | 427/508 [00:25<00:01, 44.05it/s]
Loading 0:  85%|████████▌ | 432/508 [00:25<00:01, 40.74it/s]
Loading 0:  86%|████████▋ | 439/508 [00:25<00:01, 46.67it/s]
Loading 0:  88%|████████▊ | 445/508 [00:25<00:01, 37.26it/s]
Loading 0:  89%|████████▉ | 452/508 [00:38<00:33,  1.67it/s]
Loading 0:  90%|████████▉ | 456/508 [00:38<00:24,  2.09it/s]
Loading 0:  91%|█████████ | 460/508 [00:39<00:18,  2.58it/s]
Loading 0:  92%|█████████▏| 467/508 [00:39<00:10,  3.93it/s]
Loading 0:  94%|█████████▎| 476/508 [00:39<00:05,  6.26it/s]
Loading 0:  95%|█████████▍| 481/508 [00:39<00:03,  7.93it/s]
Loading 0:  96%|█████████▌| 487/508 [00:39<00:02, 10.35it/s]
Loading 0:  97%|█████████▋| 492/508 [00:39<00:01, 13.00it/s]
Loading 0:  98%|█████████▊| 497/508 [00:39<00:00, 15.30it/s]
Loading 0:  99%|█████████▉| 502/508 [00:40<00:00, 16.47it/s]
                                                            
Job google-gemma-2-27b-it-v16-mkmlizer completed after 156.21s with status: succeeded
Stopping job with name google-gemma-2-27b-it-v16-mkmlizer
Pipeline stage MKMLizer completed in 156.69s
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 google-gemma-2-27b-it-v16
Waiting for inference service google-gemma-2-27b-it-v16 to be ready
Inference service google-gemma-2-27b-it-v16 ready after 140.55270791053772s
Pipeline stage MKMLDeployer completed in 141.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.723813533782959s
Received healthy response to inference request in 2.6537556648254395s
Received healthy response to inference request in 2.790389060974121s
Received healthy response to inference request in 2.1044092178344727s
Received healthy response to inference request in 2.757338523864746s
5 requests
0 failed requests
5th percentile: 2.214278507232666
10th percentile: 2.3241477966308595
20th percentile: 2.5438863754272463
30th percentile: 2.6677672386169435
40th percentile: 2.6957903861999513
50th percentile: 2.723813533782959
60th percentile: 2.7372235298156737
70th percentile: 2.7506335258483885
80th percentile: 2.7639486312866213
90th percentile: 2.777168846130371
95th percentile: 2.783778953552246
99th percentile: 2.789067039489746
mean time: 2.6059412002563476
Pipeline stage StressChecker completed in 14.32s
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 0.68s
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
google-gemma-2-27b-it_v16 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 4613.72s
Shutdown handler de-registered
google-gemma-2-27b-it_v16 status is now inactive due to auto deactivation removed underperforming models
google-gemma-2-27b-it_v16 status is now torndown due to DeploymentManager action