cgato-nemo-12b-humanize-_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize-_7413_v9

model_name: cgato-nemo-12b-humanize-_7413_v9

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-16T04:44:35+00:00

num_battles: 13720

num_wins: 6893

celo_rating: 1265.41

family_friendly_score: 0.5760000000000001

family_friendly_standard_error: 0.0069889054937092975

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': 0.6120983142755825, 'latency_mean': 1.6336641120910644, 'latency_p50': 1.630198359489441, 'latency_p90': 1.8098597288131715}, {'batch_size': 3, 'throughput': 1.1411387989810315, 'latency_mean': 2.627577557563782, 'latency_p50': 2.6397539377212524, 'latency_p90': 2.878677415847778}, {'batch_size': 5, 'throughput': 1.3671642341572152, 'latency_mean': 3.6404453110694885, 'latency_p50': 3.661232590675354, 'latency_p90': 4.044181323051452}, {'batch_size': 6, 'throughput': 1.453033444325229, 'latency_mean': 4.103221915960312, 'latency_p50': 4.108452320098877, 'latency_p90': 4.583244800567627}, {'batch_size': 8, 'throughput': 1.5276713880905506, 'latency_mean': 5.215412927865982, 'latency_p50': 5.214693546295166, 'latency_p90': 5.8622915029525755}, {'batch_size': 10, 'throughput': 1.5600363195806877, 'latency_mean': 6.3595004093647, 'latency_p50': 6.384551286697388, 'latency_p90': 7.299891567230224}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize-_7413_v9

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.39

us_pacific_date: 2024-12-15

win_ratio: 0.5024052478134111

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-humanize-7413-v9-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v9-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v9-mkmlizer: Downloaded to shared memory in 48.512s
cgato-nemo-12b-humanize-7413-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2b5ax88k, device:0
cgato-nemo-12b-humanize-7413-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v9-mkmlizer: quantized model in 36.329s
cgato-nemo-12b-humanize-7413-v9-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 84.841s
cgato-nemo-12b-humanize-7413-v9-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9
cgato-nemo-12b-humanize-7413-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9/config.json
cgato-nemo-12b-humanize-7413-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9/tokenizer.json
cgato-nemo-12b-humanize-7413-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v9/flywheel_model.0.safetensors
cgato-nemo-12b-humanize-7413-v9-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.46it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 50.37it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 46.41it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 44.49it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 50.75it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 48.61it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:06, 46.72it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 51.37it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 48.65it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 35.50it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 35.87it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 40.24it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 40.83it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:07, 38.90it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 43.05it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 42.07it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:06, 43.06it/s]
Loading 0:  29%|██▉       | 105/363 [00:02<00:06, 42.73it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 47.14it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 45.87it/s]
Loading 0:  34%|███▎      | 122/363 [00:02<00:05, 46.41it/s]
Loading 0:  35%|███▍      | 127/363 [00:02<00:06, 38.03it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:04, 46.19it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:04, 45.66it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 31.66it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 31.37it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 35.75it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:05, 37.58it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 39.35it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 40.02it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 40.11it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 45.85it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 45.26it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 44.65it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 49.40it/s]
Loading 0:  57%|█████▋    | 208/363 [00:04<00:03, 46.08it/s]
Loading 0:  59%|█████▊    | 213/363 [00:05<00:03, 40.33it/s]
Loading 0:  60%|██████    | 219/363 [00:05<00:03, 44.73it/s]
Loading 0:  62%|██████▏   | 224/363 [00:05<00:04, 32.23it/s]
Loading 0:  63%|██████▎   | 228/363 [00:05<00:04, 33.26it/s]
Loading 0:  64%|██████▍   | 232/363 [00:05<00:03, 33.45it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 37.54it/s]
Loading 0:  67%|██████▋   | 244/363 [00:05<00:03, 38.52it/s]
Loading 0:  69%|██████▊   | 249/363 [00:06<00:02, 39.25it/s]
Loading 0:  71%|███████   | 256/363 [00:06<00:02, 44.57it/s]
Loading 0:  72%|███████▏  | 262/363 [00:06<00:02, 43.93it/s]
Loading 0:  74%|███████▎  | 267/363 [00:06<00:02, 43.65it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 48.13it/s]
Loading 0:  77%|███████▋  | 279/363 [00:06<00:01, 48.48it/s]
Loading 0:  78%|███████▊  | 284/363 [00:06<00:01, 39.99it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 47.57it/s]
Loading 0:  82%|████████▏ | 298/363 [00:07<00:01, 45.48it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:20,  2.82it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:15,  3.53it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:11,  4.41it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  7.12it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.56it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.09it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.76it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.51it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 23.65it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 30.13it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 33.08it/s]
                                                            
Job cgato-nemo-12b-humanize-7413-v9-mkmlizer completed after 105.67s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v9-mkmlizer
Pipeline stage MKMLizer completed in 106.24s
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 cgato-nemo-12b-humanize-7413-v9
Waiting for inference service cgato-nemo-12b-humanize-7413-v9 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cgato-nemo-12b-humanize-7413-v9 ready after 220.8446328639984s
Pipeline stage MKMLDeployer completed in 221.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0122697353363037s
Received healthy response to inference request in 1.7042605876922607s
Received healthy response to inference request in 1.215719223022461s
Received healthy response to inference request in 1.5142974853515625s
Received healthy response to inference request in 1.680612564086914s
5 requests
0 failed requests
5th percentile: 1.2754348754882812
10th percentile: 1.3351505279541016
20th percentile: 1.4545818328857423
30th percentile: 1.5475605010986329
40th percentile: 1.6140865325927733
50th percentile: 1.680612564086914
60th percentile: 1.6900717735290527
70th percentile: 1.6995309829711913
80th percentile: 1.7658624172210693
90th percentile: 1.8890660762786866
95th percentile: 1.9506679058074952
99th percentile: 1.999949369430542
mean time: 1.6254319190979003
Pipeline stage StressChecker completed in 9.99s
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 2.19s
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 2.02s
Shutdown handler de-registered
cgato-nemo-12b-humanize-_7413_v9 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 2884.29s
Shutdown handler de-registered
cgato-nemo-12b-humanize-_7413_v9 status is now inactive due to auto deactivation removed underperforming models