cgato-nemo-12b-humaniz_74135

developer_uid: cgato

submission_id: cgato-nemo-12b-humaniz_74135_v22

model_name: cgato-nemo-12b-humaniz_74135_v22

model_group: cgato/Nemo-12b-Humanize-

status: torndown

timestamp: 2024-12-29T21:10:14+00:00

num_battles: 22343

num_wins: 11095

celo_rating: 1259.76

family_friendly_score: 0.585

family_friendly_standard_error: 0.00696814178960216

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6204138295339627, 'latency_mean': 1.6117639231681824, 'latency_p50': 1.606325387954712, 'latency_p90': 1.790453267097473}, {'batch_size': 3, 'throughput': 1.1301411411778644, 'latency_mean': 2.643576236963272, 'latency_p50': 2.652806520462036, 'latency_p90': 2.9011295080184936}, {'batch_size': 5, 'throughput': 1.3927677339387738, 'latency_mean': 3.565184036493301, 'latency_p50': 3.5589746236801147, 'latency_p90': 4.002740859985352}, {'batch_size': 6, 'throughput': 1.4528398848176143, 'latency_mean': 4.107456176280976, 'latency_p50': 4.122230172157288, 'latency_p90': 4.621740627288818}, {'batch_size': 8, 'throughput': 1.5240785578008975, 'latency_mean': 5.225347074270249, 'latency_p50': 5.236405849456787, 'latency_p90': 5.871017026901245}, {'batch_size': 10, 'throughput': 1.5687040566583514, 'latency_mean': 6.3261357223987575, 'latency_p50': 6.298466086387634, 'latency_p90': 7.0869530677795405}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humaniz_74135_v22

is_internal_developer: False

language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest

model_size: 13B

ranking_group: single

throughput_3p7s: 1.42

us_pacific_date: 2024-12-29

win_ratio: 0.4965761088484089

generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}

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 cgato-nemo-12b-humaniz-74135-v22-mkmlizer
Waiting for job on cgato-nemo-12b-humaniz-74135-v22-mkmlizer to finish
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: Downloaded to shared memory in 50.207s
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqk4u8949, device:0
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: quantized model in 35.265s
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 85.472s
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22/config.json
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22/special_tokens_map.json
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22/tokenizer_config.json
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22/tokenizer.json
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v22/flywheel_model.0.safetensors
cgato-nemo-12b-humaniz-74135-v22-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 31.29it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 52.99it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:06, 50.34it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 51.34it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 53.73it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 51.55it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 52.43it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:05, 53.56it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 49.17it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 35.39it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 36.08it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 41.09it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 42.23it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 42.41it/s]
Loading 0:  25%|██▍       | 89/363 [00:01<00:05, 46.18it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:05, 45.41it/s]
Loading 0:  28%|██▊       | 100/363 [00:02<00:06, 40.77it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:05, 44.37it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 44.73it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 42.47it/s]
Loading 0:  34%|███▍      | 123/363 [00:02<00:05, 42.95it/s]
Loading 0:  35%|███▌      | 128/363 [00:02<00:05, 42.66it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:04, 46.89it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:04, 45.85it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 32.58it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 32.13it/s]
Loading 0:  43%|████▎     | 157/363 [00:03<00:05, 38.54it/s]
Loading 0:  45%|████▍     | 162/363 [00:03<00:04, 40.90it/s]
Loading 0:  46%|████▌     | 167/363 [00:03<00:05, 37.09it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 44.85it/s]
Loading 0:  50%|████▉     | 181/363 [00:04<00:04, 45.19it/s]
Loading 0:  51%|█████     | 186/363 [00:04<00:03, 45.16it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 50.81it/s]
Loading 0:  55%|█████▍    | 199/363 [00:04<00:03, 49.09it/s]
Loading 0:  56%|█████▋    | 205/363 [00:04<00:03, 48.57it/s]
Loading 0:  58%|█████▊    | 211/363 [00:04<00:02, 50.91it/s]
Loading 0:  60%|█████▉    | 217/363 [00:04<00:03, 48.10it/s]
Loading 0:  61%|██████    | 222/363 [00:05<00:02, 47.92it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 32.79it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 33.26it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 39.67it/s]
Loading 0:  67%|██████▋   | 244/363 [00:05<00:02, 41.19it/s]
Loading 0:  69%|██████▊   | 249/363 [00:05<00:02, 41.33it/s]
Loading 0:  70%|███████   | 255/363 [00:05<00:02, 45.61it/s]
Loading 0:  72%|███████▏  | 260/363 [00:05<00:02, 46.40it/s]
Loading 0:  73%|███████▎  | 266/363 [00:06<00:02, 41.99it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 50.75it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:01, 49.35it/s]
Loading 0:  79%|███████▉  | 286/363 [00:06<00:01, 49.31it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 49.26it/s]
Loading 0:  82%|████████▏ | 298/363 [00:06<00:01, 43.11it/s]
Loading 0:  83%|████████▎ | 303/363 [00:06<00:01, 43.16it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:21,  2.59it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:15,  3.28it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:08,  5.34it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:05,  7.25it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:03,  9.30it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 13.15it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:01, 16.63it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 19.97it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 25.87it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 29.34it/s]
                                                            
Job cgato-nemo-12b-humaniz-74135-v22-mkmlizer completed after 114.31s with status: succeeded
Stopping job with name cgato-nemo-12b-humaniz-74135-v22-mkmlizer
Pipeline stage MKMLizer completed in 115.02s
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 cgato-nemo-12b-humaniz-74135-v22
Waiting for inference service cgato-nemo-12b-humaniz-74135-v22 to be ready
Inference service cgato-nemo-12b-humaniz-74135-v22 ready after 301.08775305747986s
Pipeline stage MKMLDeployer completed in 301.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1814980506896973s
Received healthy response to inference request in 2.524197578430176s
Received healthy response to inference request in 1.6185216903686523s
Received healthy response to inference request in 1.339571475982666s
Received healthy response to inference request in 1.2937064170837402s
5 requests
0 failed requests
5th percentile: 1.3028794288635255
10th percentile: 1.3120524406433105
20th percentile: 1.3303984642028808
30th percentile: 1.3953615188598634
40th percentile: 1.5069416046142579
50th percentile: 1.6185216903686523
60th percentile: 1.8437122344970702
70th percentile: 2.068902778625488
80th percentile: 2.2500379562377932
90th percentile: 2.3871177673339843
95th percentile: 2.45565767288208
99th percentile: 2.5104895973205568
mean time: 1.7914990425109862
Pipeline stage StressChecker completed in 10.27s
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 0.81s
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
cgato-nemo-12b-humaniz_74135_v22 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service cgato-nemo-12b-humaniz-74135-v22-profiler
Waiting for inference service cgato-nemo-12b-humaniz-74135-v22-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 3100.74s
Shutdown handler de-registered
cgato-nemo-12b-humaniz_74135_v22 status is now inactive due to auto deactivation removed underperforming models
cgato-nemo-12b-humaniz_74135_v22 status is now torndown due to DeploymentManager action
cgato-nemo-12b-humaniz_74135_v22 status is now torndown due to DeploymentManager action
cgato-nemo-12b-humaniz_74135_v22 status is now torndown due to DeploymentManager action