developer_uid: cloudyu
submission_id: vagosolutions-sauerkraut_8298_v2
model_name: vagosolutions-sauerkraut_8298_v2
model_group: VAGOsolutions/Sauerkraut
status: inactive
timestamp: 2024-11-23T23:13:15+00:00
num_battles: 23682
num_wins: 11355
celo_rating: 1241.61
family_friendly_score: 0.5800000000000001
family_friendly_standard_error: 0.006979971346646059
submission_type: basic
model_repo: VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6115726500679061, 'latency_mean': 1.6350695145130159, 'latency_p50': 1.6395643949508667, 'latency_p90': 1.8164146661758422}, {'batch_size': 3, 'throughput': 1.1281154326803837, 'latency_mean': 2.6483253872394563, 'latency_p50': 2.6489899158477783, 'latency_p90': 2.9762987375259398}, {'batch_size': 5, 'throughput': 1.337687120221188, 'latency_mean': 3.7167873322963714, 'latency_p50': 3.734244704246521, 'latency_p90': 4.173629474639893}, {'batch_size': 6, 'throughput': 1.407490342498101, 'latency_mean': 4.23685337305069, 'latency_p50': 4.217978358268738, 'latency_p90': 4.737041592597961}, {'batch_size': 8, 'throughput': 1.4768730399025587, 'latency_mean': 5.397776997089386, 'latency_p50': 5.392677903175354, 'latency_p90': 6.126212310791016}, {'batch_size': 10, 'throughput': 1.5102376573791045, 'latency_mean': 6.574719805717468, 'latency_p50': 6.580499053001404, 'latency_p90': 7.415454292297363}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: vagosolutions-sauerkraut_8298_v2
is_internal_developer: False
language_model: VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2024-11-23
win_ratio: 0.4794780846212313
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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 vagosolutions-sauerkraut-8298-v2-mkmlizer
Waiting for job on vagosolutions-sauerkraut-8298-v2-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
vagosolutions-sauerkraut-8298-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ _____ __ __ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ /___/ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Version: 0.11.12 ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ https://mk1.ai ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ The license key for the current software has been verified as ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ belonging to: ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Chai Research Corp. ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
vagosolutions-sauerkraut-8298-v2-mkmlizer: Downloaded to shared memory in 46.802s
vagosolutions-sauerkraut-8298-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiqg12q0t, device:0
vagosolutions-sauerkraut-8298-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
vagosolutions-sauerkraut-8298-v2-mkmlizer: quantized model in 36.740s
vagosolutions-sauerkraut-8298-v2-mkmlizer: Processed model VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct in 83.542s
vagosolutions-sauerkraut-8298-v2-mkmlizer: creating bucket guanaco-mkml-models
vagosolutions-sauerkraut-8298-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
vagosolutions-sauerkraut-8298-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/config.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/special_tokens_map.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/tokenizer_config.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/tokenizer.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/flywheel_model.0.safetensors
vagosolutions-sauerkraut-8298-v2-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:06<18:36, 3.09s/it] Loading 0: 2%|▏ | 6/363 [00:06<04:57, 1.20it/s] Loading 0: 4%|▎ | 13/363 [00:06<01:46, 3.30it/s] Loading 0: 5%|▍ | 17/363 [00:06<01:11, 4.82it/s] Loading 0: 6%|▋ | 23/363 [00:06<00:43, 7.86it/s] Loading 0: 8%|▊ | 29/363 [00:06<00:29, 11.30it/s] Loading 0: 9%|▉ | 34/363 [00:06<00:22, 14.47it/s] Loading 0: 11%|█▏ | 41/363 [00:07<00:15, 20.32it/s] Loading 0: 13%|█▎ | 46/363 [00:07<00:13, 24.32it/s] Loading 0: 14%|█▍ | 51/363 [00:07<00:12, 24.92it/s] Loading 0: 16%|█▌ | 58/363 [00:07<00:12, 23.48it/s] Loading 0: 17%|█▋ | 62/363 [00:07<00:11, 25.27it/s] Loading 0: 19%|█▊ | 68/363 [00:07<00:09, 30.32it/s] Loading 0: 20%|██ | 73/363 [00:08<00:08, 34.09it/s] Loading 0: 21%|██▏ | 78/363 [00:08<00:09, 30.55it/s] Loading 0: 24%|██▎ | 86/363 [00:08<00:07, 38.72it/s] Loading 0: 25%|██▌ | 92/363 [00:08<00:06, 38.82it/s] Loading 0: 27%|██▋ | 97/363 [00:08<00:06, 38.83it/s] Loading 0: 28%|██▊ | 103/363 [00:08<00:06, 42.33it/s] Loading 0: 30%|██▉ | 108/363 [00:08<00:06, 41.74it/s] Loading 0: 31%|███ | 113/363 [00:09<00:05, 41.74it/s] Loading 0: 33%|███▎ | 119/363 [00:09<00:05, 40.96it/s] Loading 0: 34%|███▍ | 124/363 [00:09<00:05, 40.56it/s] Loading 0: 36%|███▌ | 130/363 [00:09<00:05, 45.10it/s] Loading 0: 37%|███▋ | 135/363 [00:09<00:05, 44.39it/s] Loading 0: 39%|███▊ | 140/363 [00:09<00:04, 44.88it/s] Loading 0: 40%|███▉ | 145/363 [00:09<00:04, 45.14it/s] Loading 0: 41%|████▏ | 150/363 [00:09<00:05, 37.55it/s] Loading 0: 43%|████▎ | 157/363 [00:10<00:06, 30.31it/s] Loading 0: 44%|████▍ | 161/363 [00:10<00:06, 31.15it/s] Loading 0: 46%|████▌ | 167/363 [00:10<00:05, 35.64it/s] Loading 0: 48%|████▊ | 173/363 [00:10<00:05, 37.35it/s] Loading 0: 49%|████▉ | 178/363 [00:10<00:04, 37.84it/s] Loading 0: 51%|█████ | 185/363 [00:10<00:04, 43.13it/s] Loading 0: 53%|█████▎ | 191/363 [00:11<00:04, 42.12it/s] Loading 0: 54%|█████▍ | 196/363 [00:11<00:04, 41.24it/s] Loading 0: 56%|█████▌ | 202/363 [00:11<00:03, 44.30it/s] Loading 0: 57%|█████▋ | 207/363 [00:11<00:03, 42.48it/s] Loading 0: 58%|█████▊ | 212/363 [00:11<00:03, 42.74it/s] Loading 0: 60%|██████ | 218/363 [00:11<00:03, 41.81it/s] Loading 0: 61%|██████▏ | 223/363 [00:11<00:03, 41.00it/s] Loading 0: 63%|██████▎ | 229/363 [00:11<00:02, 45.67it/s] Loading 0: 64%|██████▍ | 234/363 [00:11<00:02, 45.00it/s] Loading 0: 66%|██████▌ | 239/363 [00:12<00:02, 44.78it/s] Loading 0: 67%|██████▋ | 245/363 [00:12<00:02, 43.20it/s] Loading 0: 69%|██████▉ | 250/363 [00:12<00:02, 41.78it/s] Loading 0: 71%|███████ | 256/363 [00:12<00:03, 30.36it/s] Loading 0: 72%|███████▏ | 260/363 [00:12<00:03, 31.11it/s] Loading 0: 73%|███████▎ | 266/363 [00:12<00:02, 35.78it/s] Loading 0: 75%|███████▍ | 272/363 [00:13<00:02, 36.84it/s] Loading 0: 76%|███████▌ | 276/363 [00:13<00:02, 34.66it/s] Loading 0: 78%|███████▊ | 284/363 [00:13<00:01, 42.98it/s] Loading 0: 80%|███████▉ | 290/363 [00:13<00:01, 42.05it/s] Loading 0: 81%|████████▏ | 295/363 [00:13<00:01, 41.60it/s] Loading 0: 83%|████████▎ | 302/363 [00:13<00:01, 46.29it/s] Loading 0: 85%|████████▍ | 308/363 [00:13<00:01, 44.26it/s] Loading 0: 86%|████████▌ | 313/363 [00:14<00:01, 42.33it/s] Loading 0: 88%|████████▊ | 319/363 [00:14<00:00, 46.17it/s] Loading 0: 89%|████████▉ | 324/363 [00:14<00:00, 44.38it/s] Loading 0: 91%|█████████ | 329/363 [00:14<00:00, 43.99it/s] Loading 0: 92%|█████████▏| 334/363 [00:14<00:00, 45.36it/s] Loading 0: 93%|█████████▎| 339/363 [00:14<00:00, 37.61it/s] Loading 0: 95%|█████████▌| 346/363 [00:14<00:00, 44.57it/s] Loading 0: 97%|█████████▋| 351/363 [00:14<00:00, 43.23it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 28.94it/s] Loading 0: 99%|█████████▉| 360/363 [00:15<00:00, 30.91it/s]
Job vagosolutions-sauerkraut-8298-v2-mkmlizer completed after 104.16s with status: succeeded
Stopping job with name vagosolutions-sauerkraut-8298-v2-mkmlizer
Pipeline stage MKMLizer completed in 104.64s
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 vagosolutions-sauerkraut-8298-v2
Waiting for inference service vagosolutions-sauerkraut-8298-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service vagosolutions-sauerkraut-8298-v2 ready after 110.4074637889862s
Pipeline stage MKMLDeployer completed in 111.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2707631587982178s
Received healthy response to inference request in 1.9460973739624023s
Received healthy response to inference request in 1.877957820892334s
Received healthy response to inference request in 1.8981995582580566s
Received healthy response to inference request in 1.9673709869384766s
5 requests
0 failed requests
5th percentile: 1.8820061683654785
10th percentile: 1.886054515838623
20th percentile: 1.894151210784912
30th percentile: 1.9077791213989257
40th percentile: 1.926938247680664
50th percentile: 1.9460973739624023
60th percentile: 1.954606819152832
70th percentile: 1.9631162643432618
80th percentile: 2.028049421310425
90th percentile: 2.1494062900543214
95th percentile: 2.2100847244262694
99th percentile: 2.258627471923828
mean time: 1.9920777797698974
Pipeline stage StressChecker completed in 11.30s
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 2.12s
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 2.07s
Shutdown handler de-registered
vagosolutions-sauerkraut_8298_v2 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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service vagosolutions-sauerkraut-8298-v2-profiler
Waiting for inference service vagosolutions-sauerkraut-8298-v2-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 2740.99s
Shutdown handler de-registered
vagosolutions-sauerkraut_8298_v2 status is now inactive due to auto deactivation removed underperforming models