developer_uid: azuruce
submission_id: chaiml-ezstorytellingedi_9240_v4
model_name: chaiml-ezstorytellingedi_9240_v4
model_group: ChaiML/EZStorytellingEdi
status: inactive
timestamp: 2024-12-06T23:45:10+00:00
num_battles: 8918
num_wins: 4387
celo_rating: 1257.2
family_friendly_score: 0.5674
family_friendly_standard_error: 0.007006528955196004
submission_type: basic
model_repo: ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.38829396884507156, 'latency_mean': 2.5753054857254027, 'latency_p50': 2.5949442386627197, 'latency_p90': 2.8481101036071776}, {'batch_size': 3, 'throughput': 0.8227832435235243, 'latency_mean': 3.6356490695476533, 'latency_p50': 3.630768656730652, 'latency_p90': 3.9851868867874147}, {'batch_size': 5, 'throughput': 1.0869848304573704, 'latency_mean': 4.572433650493622, 'latency_p50': 4.594640254974365, 'latency_p90': 5.039631676673889}, {'batch_size': 6, 'throughput': 1.1754782895962785, 'latency_mean': 5.080705027580262, 'latency_p50': 5.05253267288208, 'latency_p90': 5.738674926757812}, {'batch_size': 10, 'throughput': 1.3871908690694716, 'latency_mean': 7.140638425350189, 'latency_p50': 7.08869194984436, 'latency_p90': 7.962605261802673}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-ezstorytellingedi_9240_v4
is_internal_developer: True
language_model: ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward
model_size: 22B
ranking_group: single
throughput_3p7s: 0.85
us_pacific_date: 2024-12-06
win_ratio: 0.49192644090603277
generation_params: {'temperature': 0.8, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], '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 chaiml-ezstorytellingedi-9240-v4-mkmlizer
Waiting for job on chaiml-ezstorytellingedi-9240-v4-mkmlizer to finish
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ _____ __ __ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ /___/ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ Version: 0.11.12 ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ belonging to: ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ezstorytellingedi-9240-v4-mkmlizer: Downloaded to shared memory in 55.852s
chaiml-ezstorytellingedi-9240-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpic9c1m5x, device:0
chaiml-ezstorytellingedi-9240-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ezstorytellingedi-9240-v4-mkmlizer: quantized model in 43.578s
chaiml-ezstorytellingedi-9240-v4-mkmlizer: Processed model ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward in 99.431s
chaiml-ezstorytellingedi-9240-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ezstorytellingedi-9240-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ezstorytellingedi-9240-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/config.json
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/special_tokens_map.json
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/tokenizer_config.json
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/tokenizer.json
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/flywheel_model.1.safetensors
chaiml-ezstorytellingedi-9240-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v4/flywheel_model.0.safetensors
chaiml-ezstorytellingedi-9240-v4-mkmlizer: Loading 0: 0%| | 0/507 [00:00<?, ?it/s] Loading 0: 1%| | 5/507 [00:00<00:19, 25.36it/s] Loading 0: 2%|▏ | 12/507 [00:00<00:12, 41.21it/s] Loading 0: 3%|▎ | 17/507 [00:00<00:13, 37.60it/s] Loading 0: 4%|▍ | 22/507 [00:00<00:12, 39.03it/s] Loading 0: 5%|▌ | 27/507 [00:00<00:11, 40.16it/s] Loading 0: 6%|▋ | 32/507 [00:00<00:14, 33.47it/s] Loading 0: 8%|▊ | 39/507 [00:01<00:11, 41.07it/s] Loading 0: 9%|▊ | 44/507 [00:01<00:11, 40.53it/s] Loading 0: 10%|▉ | 49/507 [00:01<00:13, 34.74it/s] Loading 0: 10%|█ | 53/507 [00:01<00:16, 27.04it/s] Loading 0: 11%|█ | 57/507 [00:01<00:16, 26.89it/s] Loading 0: 12%|█▏ | 63/507 [00:01<00:13, 31.99it/s] Loading 0: 13%|█▎ | 67/507 [00:01<00:13, 32.16it/s] Loading 0: 14%|█▍ | 73/507 [00:02<00:12, 34.55it/s] Loading 0: 16%|█▌ | 80/507 [00:02<00:11, 36.63it/s] Loading 0: 17%|█▋ | 87/507 [00:02<00:10, 41.38it/s] Loading 0: 18%|█▊ | 92/507 [00:02<00:10, 40.40it/s] Loading 0: 19%|█▉ | 97/507 [00:02<00:10, 39.97it/s] Loading 0: 20%|██ | 102/507 [00:02<00:10, 40.20it/s] Loading 0: 21%|██ | 107/507 [00:03<00:11, 34.02it/s] Loading 0: 22%|██▏ | 113/507 [00:03<00:12, 30.75it/s] Loading 0: 23%|██▎ | 117/507 [00:03<00:13, 29.11it/s] Loading 0: 24%|██▍ | 122/507 [00:03<00:13, 29.59it/s] Loading 0: 25%|██▌ | 129/507 [00:03<00:10, 36.12it/s] Loading 0: 26%|██▌ | 133/507 [00:03<00:10, 34.81it/s] Loading 0: 27%|██▋ | 138/507 [00:03<00:09, 37.10it/s] Loading 0: 28%|██▊ | 142/507 [00:04<00:10, 35.41it/s] Loading 0: 29%|██▉ | 147/507 [00:04<00:09, 37.57it/s] Loading 0: 30%|██▉ | 151/507 [00:04<00:09, 36.01it/s] Loading 0: 31%|███ | 156/507 [00:04<00:08, 39.12it/s] Loading 0: 32%|███▏ | 161/507 [00:04<00:08, 39.17it/s] Loading 0: 33%|███▎ | 166/507 [00:04<00:08, 41.41it/s] Loading 0: 34%|███▎ | 171/507 [00:04<00:12, 26.13it/s] Loading 0: 35%|███▍ | 176/507 [00:05<00:11, 28.01it/s] Loading 0: 36%|███▌ | 183/507 [00:05<00:09, 35.30it/s] Loading 0: 37%|███▋ | 188/507 [00:05<00:09, 35.32it/s] Loading 0: 38%|███▊ | 193/507 [00:05<00:08, 36.44it/s] Loading 0: 39%|███▉ | 197/507 [00:05<00:08, 35.90it/s] Loading 0: 40%|███▉ | 202/507 [00:05<00:08, 37.11it/s] Loading 0: 41%|████ | 206/507 [00:05<00:07, 37.66it/s] Loading 0: 42%|████▏ | 211/507 [00:05<00:07, 38.35it/s] Loading 0: 43%|████▎ | 216/507 [00:06<00:07, 40.41it/s] Loading 0: 44%|████▎ | 221/507 [00:06<00:08, 34.85it/s] Loading 0: 44%|████▍ | 225/507 [00:06<00:10, 27.15it/s] Loading 0: 45%|████▌ | 230/507 [00:06<00:09, 28.54it/s] Loading 0: 47%|████▋ | 237/507 [00:06<00:07, 35.62it/s] Loading 0: 48%|████▊ | 241/507 [00:06<00:07, 34.75it/s] Loading 0: 49%|████▊ | 246/507 [00:07<00:07, 37.00it/s] Loading 0: 49%|████▉ | 250/507 [00:07<00:07, 34.91it/s] Loading 0: 50%|█████ | 255/507 [00:07<00:06, 37.16it/s] Loading 0: 51%|█████ | 259/507 [00:07<00:06, 35.84it/s] Loading 0: 52%|█████▏ | 264/507 [00:07<00:06, 37.40it/s] Loading 0: 53%|█████▎ | 268/507 [00:07<00:06, 35.82it/s] Loading 0: 54%|█████▍ | 273/507 [00:07<00:06, 38.48it/s] Loading 0: 55%|█████▍ | 277/507 [00:07<00:06, 35.82it/s] Loading 0: 56%|█████▌ | 283/507 [00:08<00:05, 38.10it/s] Loading 0: 57%|█████▋ | 287/507 [00:08<00:08, 25.36it/s] Loading 0: 58%|█████▊ | 293/507 [00:08<00:07, 28.50it/s] Loading 0: 59%|█████▉ | 299/507 [00:23<00:07, 28.50it/s] Loading 0: 59%|█████▉ | 300/507 [00:23<02:45, 1.25it/s] Loading 0: 60%|█████▉ | 302/507 [00:23<02:24, 1.42it/s] Loading 0: 61%|██████ | 307/507 [00:23<01:37, 2.04it/s] Loading 0: 61%|██████ | 310/507 [00:23<01:17, 2.54it/s] Loading 0: 62%|██████▏ | 313/507 [00:23<00:59, 3.24it/s] Loading 0: 63%|██████▎ | 318/507 [00:23<00:38, 4.85it/s] Loading 0: 64%|██████▎ | 322/507 [00:23<00:28, 6.40it/s] Loading 0: 64%|██████▍ | 327/507 [00:24<00:19, 9.07it/s] Loading 0: 65%|██████▌ | 331/507 [00:24<00:15, 11.32it/s] Loading 0: 66%|██████▌ | 335/507 [00:24<00:12, 14.00it/s] Loading 0: 67%|██████▋ | 340/507 [00:24<00:10, 15.61it/s] Loading 0: 68%|██████▊ | 343/507 [00:24<00:09, 16.81it/s] Loading 0: 68%|██████▊ | 347/507 [00:24<00:08, 18.53it/s] Loading 0: 70%|██████▉ | 354/507 [00:24<00:05, 26.07it/s] Loading 0: 71%|███████ | 358/507 [00:25<00:05, 27.20it/s] Loading 0: 72%|███████▏ | 363/507 [00:25<00:04, 30.95it/s] Loading 0: 72%|███████▏ | 367/507 [00:25<00:04, 30.82it/s] Loading 0: 73%|███████▎ | 372/507 [00:25<00:04, 33.27it/s] Loading 0: 74%|███████▍ | 376/507 [00:25<00:04, 32.31it/s] Loading 0: 75%|███████▌ | 381/507 [00:25<00:03, 35.72it/s] Loading 0: 76%|███████▌ | 385/507 [00:25<00:03, 33.72it/s] Loading 0: 77%|███████▋ | 389/507 [00:25<00:03, 33.84it/s] Loading 0: 78%|███████▊ | 393/507 [00:26<00:03, 33.01it/s] Loading 0: 78%|███████▊ | 397/507 [00:26<00:04, 25.40it/s] Loading 0: 79%|███████▉ | 401/507 [00:26<00:04, 25.49it/s] Loading 0: 80%|████████ | 406/507 [00:26<00:03, 29.85it/s] Loading 0: 81%|████████ | 410/507 [00:26<00:03, 28.06it/s] Loading 0: 82%|████████▏ | 417/507 [00:26<00:02, 34.98it/s] Loading 0: 83%|████████▎ | 421/507 [00:27<00:02, 33.43it/s] Loading 0: 84%|████████▍ | 426/507 [00:27<00:02, 35.36it/s] Loading 0: 85%|████████▍ | 430/507 [00:27<00:02, 33.92it/s] Loading 0: 86%|████████▌ | 435/507 [00:27<00:02, 35.92it/s] Loading 0: 87%|████████▋ | 439/507 [00:27<00:01, 34.80it/s] Loading 0: 88%|████████▊ | 444/507 [00:27<00:01, 37.84it/s] Loading 0: 88%|████████▊ | 448/507 [00:27<00:01, 36.26it/s] Loading 0: 90%|████████▉ | 454/507 [00:27<00:01, 37.15it/s] Loading 0: 90%|█████████ | 458/507 [00:30<00:07, 6.15it/s] Loading 0: 91%|█████████ | 461/507 [00:30<00:06, 7.37it/s] Loading 0: 92%|█████████▏| 465/507 [00:30<00:04, 9.34it/s] Loading 0: 93%|█████████▎| 470/507 [00:30<00:02, 12.78it/s] Loading 0: 93%|█████████▎| 474/507 [00:30<00:02, 14.84it/s] Loading 0: 95%|█████████▍| 481/507 [00:30<00:01, 21.32it/s] Loading 0: 96%|█████████▌| 485/507 [00:30<00:00, 22.60it/s] Loading 0: 97%|█████████▋| 490/507 [00:31<00:00, 25.83it/s] Loading 0: 97%|█████████▋| 494/507 [00:31<00:00, 26.86it/s] Loading 0: 98%|█████████▊| 499/507 [00:31<00:00, 29.80it/s] Loading 0: 99%|█████████▉| 503/507 [00:31<00:00, 29.40it/s]
Job chaiml-ezstorytellingedi-9240-v4-mkmlizer completed after 125.38s with status: succeeded
Stopping job with name chaiml-ezstorytellingedi-9240-v4-mkmlizer
Pipeline stage MKMLizer completed in 125.88s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.59s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-ezstorytellingedi-9240-v4
Waiting for inference service chaiml-ezstorytellingedi-9240-v4 to be ready
Inference service chaiml-ezstorytellingedi-9240-v4 ready after 170.61480832099915s
Pipeline stage MKMLDeployer completed in 171.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.68117618560791s
Received healthy response to inference request in 2.2874326705932617s
Received healthy response to inference request in 2.277418375015259s
Received healthy response to inference request in 2.7252001762390137s
Received healthy response to inference request in 2.236578941345215s
5 requests
0 failed requests
5th percentile: 2.2447468280792235
10th percentile: 2.2529147148132322
20th percentile: 2.26925048828125
30th percentile: 2.2794212341308593
40th percentile: 2.2834269523620607
50th percentile: 2.2874326705932617
60th percentile: 2.444930076599121
70th percentile: 2.6024274826049805
80th percentile: 2.689980983734131
90th percentile: 2.7075905799865723
95th percentile: 2.716395378112793
99th percentile: 2.7234392166137695
mean time: 2.4415612697601317
Pipeline stage StressChecker completed in 13.99s
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 2.17s
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 2.04s
Shutdown handler de-registered
chaiml-ezstorytellingedi_9240_v4 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 3030.02s
Shutdown handler de-registered
chaiml-ezstorytellingedi_9240_v4 status is now inactive due to auto deactivation removed underperforming models