developer_uid: cgato
submission_id: cgato-nemo-12b-humaniz_74135_v30
model_name: cgato-nemo-12b-humaniz_74135_v30
model_group: cgato/Nemo-12b-Humanize-
status: torndown
timestamp: 2025-01-08T18:44:59+00:00
num_battles: 10869
num_wins: 5426
celo_rating: 1260.89
family_friendly_score: 0.5838
family_friendly_standard_error: 0.006971048127792549
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': 0.6156868792233106, 'latency_mean': 1.6241445469856262, 'latency_p50': 1.623024344444275, 'latency_p90': 1.7823768854141235}, {'batch_size': 3, 'throughput': 1.126425213526871, 'latency_mean': 2.655128368139267, 'latency_p50': 2.6664289236068726, 'latency_p90': 2.9166709423065185}, {'batch_size': 5, 'throughput': 1.367980796989914, 'latency_mean': 3.636064063310623, 'latency_p50': 3.640000820159912, 'latency_p90': 4.055639863014221}, {'batch_size': 6, 'throughput': 1.437684245429026, 'latency_mean': 4.1570767974853515, 'latency_p50': 4.150129079818726, 'latency_p90': 4.688400220870972}, {'batch_size': 8, 'throughput': 1.4986751737319306, 'latency_mean': 5.3054963958263395, 'latency_p50': 5.303054571151733, 'latency_p90': 5.982917761802673}, {'batch_size': 10, 'throughput': 1.535340747136039, 'latency_mean': 6.445192720890045, 'latency_p50': 6.5058289766311646, 'latency_p90': 7.254599404335022}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humaniz_74135_v30
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.38
us_pacific_date: 2025-01-08
win_ratio: 0.49921795933388535
generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.01, 'frequency_penalty': 0.01, '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-v30-mkmlizer
Waiting for job on cgato-nemo-12b-humaniz-74135-v30-mkmlizer to finish
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ _____ __ __ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ║ ║
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: Downloaded to shared memory in 47.610s
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4jukpcfe, device:0
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: quantized model in 35.895s
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 83.505s
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v30
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v30/special_tokens_map.json
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v30/config.json
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v30/tokenizer_config.json
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humaniz-74135-v30/tokenizer.json
cgato-nemo-12b-humaniz-74135-v30-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.20it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.65it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:06, 49.64it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 50.79it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.45it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 48.03it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 47.31it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:05, 52.43it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 50.10it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 37.47it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:07, 37.61it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:06, 42.02it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:06, 42.27it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 42.24it/s] Loading 0: 25%|██▍ | 90/363 [00:01<00:05, 46.92it/s] Loading 0: 26%|██▌ | 95/363 [00:02<00:05, 46.68it/s] Loading 0: 28%|██▊ | 100/363 [00:02<00:06, 41.04it/s] Loading 0: 30%|███ | 109/363 [00:02<00:04, 52.37it/s] Loading 0: 32%|███▏ | 115/363 [00:02<00:05, 46.93it/s] Loading 0: 33%|███▎ | 121/363 [00:02<00:05, 46.11it/s] Loading 0: 35%|███▍ | 126/363 [00:02<00:05, 46.57it/s] Loading 0: 36%|███▋ | 132/363 [00:02<00:05, 45.26it/s] Loading 0: 38%|███▊ | 137/363 [00:03<00:05, 43.59it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 34.90it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 35.58it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 34.41it/s] Loading 0: 43%|████▎ | 157/363 [00:03<00:05, 40.72it/s] Loading 0: 45%|████▍ | 162/363 [00:03<00:04, 42.53it/s] Loading 0: 46%|████▌ | 167/363 [00:03<00:05, 37.37it/s] Loading 0: 48%|████▊ | 174/363 [00:03<00:04, 44.65it/s] Loading 0: 49%|████▉ | 179/363 [00:04<00:04, 45.56it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:03, 46.67it/s] Loading 0: 52%|█████▏ | 190/363 [00:04<00:03, 45.90it/s] Loading 0: 54%|█████▎ | 195/363 [00:04<00:03, 45.24it/s] Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 50.92it/s] Loading 0: 57%|█████▋ | 208/363 [00:04<00:03, 47.28it/s] Loading 0: 59%|█████▊ | 213/363 [00:04<00:03, 46.57it/s] Loading 0: 61%|██████ | 220/363 [00:04<00:02, 52.25it/s] Loading 0: 62%|██████▏ | 226/363 [00:05<00:03, 34.86it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:03, 35.38it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 40.45it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:02, 42.28it/s] Loading 0: 68%|██████▊ | 247/363 [00:05<00:02, 43.97it/s] Loading 0: 70%|██████▉ | 253/363 [00:05<00:02, 42.94it/s] Loading 0: 71%|███████ | 258/363 [00:05<00:02, 40.58it/s] Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 45.85it/s] Loading 0: 75%|███████▍ | 271/363 [00:06<00:02, 44.07it/s] Loading 0: 76%|███████▌ | 276/363 [00:06<00:02, 42.86it/s] Loading 0: 78%|███████▊ | 283/363 [00:06<00:01, 47.66it/s] Loading 0: 80%|███████▉ | 289/363 [00:06<00:01, 44.65it/s] Loading 0: 81%|████████ | 294/363 [00:06<00:01, 43.20it/s] Loading 0: 83%|████████▎ | 301/363 [00:06<00:01, 49.12it/s] Loading 0: 85%|████████▍ | 307/363 [00:13<00:19, 2.83it/s] Loading 0: 86%|████████▌ | 312/363 [00:13<00:13, 3.69it/s] Loading 0: 88%|████████▊ | 320/363 [00:13<00:07, 5.72it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:04, 7.59it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:03, 9.48it/s] Loading 0: 93%|█████████▎| 337/363 [00:14<00:02, 12.70it/s] Loading 0: 94%|█████████▍| 342/363 [00:14<00:01, 15.50it/s] Loading 0: 96%|█████████▌| 347/363 [00:14<00:00, 19.07it/s] Loading 0: 97%|█████████▋| 353/363 [00:14<00:00, 22.91it/s] Loading 0: 99%|█████████▊| 358/363 [00:14<00:00, 25.67it/s]
Job cgato-nemo-12b-humaniz-74135-v30-mkmlizer completed after 114.46s with status: succeeded
Stopping job with name cgato-nemo-12b-humaniz-74135-v30-mkmlizer
Pipeline stage MKMLizer completed in 114.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cgato-nemo-12b-humaniz-74135-v30
Waiting for inference service cgato-nemo-12b-humaniz-74135-v30 to be ready
Inference service cgato-nemo-12b-humaniz-74135-v30 ready after 361.2867021560669s
Pipeline stage MKMLDeployer completed in 361.89s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.072160243988037s
Received healthy response to inference request in 1.7243452072143555s
Received healthy response to inference request in 1.8400659561157227s
Received healthy response to inference request in 1.5961060523986816s
Received healthy response to inference request in 1.4443762302398682s
5 requests
0 failed requests
5th percentile: 1.474722194671631
10th percentile: 1.5050681591033936
20th percentile: 1.565760087966919
30th percentile: 1.6217538833618164
40th percentile: 1.673049545288086
50th percentile: 1.7243452072143555
60th percentile: 1.7706335067749024
70th percentile: 1.8169218063354493
80th percentile: 1.8864848136901855
90th percentile: 1.9793225288391114
95th percentile: 2.025741386413574
99th percentile: 2.0628764724731443
mean time: 1.735410737991333
Pipeline stage StressChecker completed in 10.00s
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 0.75s
Shutdown handler de-registered
cgato-nemo-12b-humaniz_74135_v30 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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service cgato-nemo-12b-humaniz-74135-v30-profiler
Waiting for inference service cgato-nemo-12b-humaniz-74135-v30-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 2780.26s
Shutdown handler de-registered
cgato-nemo-12b-humaniz_74135_v30 status is now inactive due to auto deactivation removed underperforming models
cgato-nemo-12b-humaniz_74135_v30 status is now torndown due to DeploymentManager action