submission_id: rinen0721-mistral12b-exp4_v1
developer_uid: rinen0721
best_of: 8
celo_rating: 1241.92
display_name: rinen0721-mistral12b-exp4_v1
family_friendly_score: 0.5646
family_friendly_standard_error: 0.0070118020508283035
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}
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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rinen0721/Mistral12b-exp4
latencies: [{'batch_size': 1, 'throughput': 0.6094651022926361, 'latency_mean': 1.640721514225006, 'latency_p50': 1.6242743730545044, 'latency_p90': 1.8225847244262696}, {'batch_size': 3, 'throughput': 1.1126672718715236, 'latency_mean': 2.687737432718277, 'latency_p50': 2.701290011405945, 'latency_p90': 2.977051520347595}, {'batch_size': 5, 'throughput': 1.3560290385212217, 'latency_mean': 3.6740016424655915, 'latency_p50': 3.661846160888672, 'latency_p90': 4.067223930358887}, {'batch_size': 6, 'throughput': 1.3957641866858426, 'latency_mean': 4.270779894590378, 'latency_p50': 4.293939709663391, 'latency_p90': 4.7850257396698}, {'batch_size': 8, 'throughput': 1.4654177498028975, 'latency_mean': 5.422491264343262, 'latency_p50': 5.425889492034912, 'latency_p90': 6.0969387769699095}, {'batch_size': 10, 'throughput': 1.5072399744771687, 'latency_mean': 6.594987734556198, 'latency_p50': 6.6118539571762085, 'latency_p90': 7.379756045341492}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: rinen0721/Mistral12b-exp
model_name: rinen0721-mistral12b-exp4_v1
model_num_parameters: 12772070400.0
model_repo: rinen0721/Mistral12b-exp4
model_size: 13B
num_battles: 18334
num_wins: 9166
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.36
timestamp: 2024-11-11T03:03:02+00:00
us_pacific_date: 2024-11-10
win_ratio: 0.49994545652885347
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 rinen0721-mistral12b-exp4-v1-mkmlizer
Waiting for job on rinen0721-mistral12b-exp4-v1-mkmlizer to finish
rinen0721-mistral12b-exp4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ _____ __ __ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ /___/ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ Version: 0.11.33 ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ https://mk1.ai ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ belonging to: ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ Chai Research Corp. ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ║ ║
rinen0721-mistral12b-exp4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rinen0721-mistral12b-exp4-v1-mkmlizer: Downloaded to shared memory in 149.086s
rinen0721-mistral12b-exp4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp665yid3j, device:0
rinen0721-mistral12b-exp4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-mistral12b-exp4-v1-mkmlizer: quantized model in 35.795s
rinen0721-mistral12b-exp4-v1-mkmlizer: Processed model rinen0721/Mistral12b-exp4 in 184.881s
rinen0721-mistral12b-exp4-v1-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral12b-exp4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral12b-exp4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1
rinen0721-mistral12b-exp4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1/config.json
rinen0721-mistral12b-exp4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1/special_tokens_map.json
rinen0721-mistral12b-exp4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1/tokenizer_config.json
rinen0721-mistral12b-exp4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1/tokenizer.json
rinen0721-mistral12b-exp4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral12b-exp4-v1/flywheel_model.0.safetensors
rinen0721-mistral12b-exp4-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.52it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 53.40it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 49.08it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 49.85it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.39it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 49.54it/s] Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 49.73it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:06, 50.38it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 45.48it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 34.48it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:08, 33.57it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.73it/s] Loading 0: 21%|██ | 77/363 [00:01<00:06, 42.60it/s] Loading 0: 23%|██▎ | 82/363 [00:01<00:07, 38.20it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:05, 46.57it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 44.22it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:05, 43.96it/s] Loading 0: 30%|███ | 109/363 [00:02<00:04, 52.27it/s] Loading 0: 32%|███▏ | 115/363 [00:02<00:05, 47.68it/s] Loading 0: 33%|███▎ | 121/363 [00:02<00:05, 45.91it/s] Loading 0: 35%|███▍ | 126/363 [00:02<00:05, 45.66it/s] Loading 0: 36%|███▌ | 131/363 [00:02<00:04, 46.63it/s] Loading 0: 37%|███▋ | 136/363 [00:03<00:06, 36.36it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 31.61it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 33.04it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 32.54it/s] Loading 0: 43%|████▎ | 157/363 [00:03<00:05, 39.49it/s] Loading 0: 45%|████▍ | 163/363 [00:03<00:04, 40.88it/s] Loading 0: 46%|████▋ | 168/363 [00:03<00:04, 41.32it/s] Loading 0: 48%|████▊ | 174/363 [00:04<00:04, 45.01it/s] Loading 0: 49%|████▉ | 179/363 [00:04<00:04, 44.95it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:03, 45.90it/s] Loading 0: 52%|█████▏ | 190/363 [00:04<00:03, 43.83it/s] Loading 0: 54%|█████▎ | 195/363 [00:04<00:03, 42.50it/s] Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 47.70it/s] Loading 0: 57%|█████▋ | 208/363 [00:04<00:03, 45.28it/s] Loading 0: 59%|█████▊ | 213/363 [00:04<00:03, 43.32it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:02, 49.34it/s] Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 32.41it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:03, 33.54it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 37.39it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 38.48it/s] Loading 0: 68%|██████▊ | 247/363 [00:05<00:02, 40.48it/s] Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 40.80it/s] Loading 0: 71%|███████ | 258/363 [00:06<00:02, 40.83it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 45.19it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 44.98it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:01, 45.76it/s] Loading 0: 77%|███████▋ | 280/363 [00:06<00:01, 44.18it/s] Loading 0: 79%|███████▊ | 285/363 [00:06<00:01, 42.61it/s] Loading 0: 80%|████████ | 292/363 [00:06<00:01, 47.23it/s] Loading 0: 82%|████████▏ | 298/363 [00:07<00:01, 45.37it/s] Loading 0: 84%|████████▎ | 304/363 [00:13<00:21, 2.74it/s] Loading 0: 85%|████████▍ | 308/363 [00:14<00:15, 3.46it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:11, 4.42it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:05, 7.19it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:03, 9.62it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:02, 12.13it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 16.94it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:00, 20.72it/s] Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 23.87it/s] Loading 0: 98%|█████████▊| 355/363 [00:14<00:00, 29.32it/s] Loading 0: 99%|█████████▉| 361/363 [00:15<00:00, 34.05it/s]
Job rinen0721-mistral12b-exp4-v1-mkmlizer completed after 206.15s with status: succeeded
Stopping job with name rinen0721-mistral12b-exp4-v1-mkmlizer
Pipeline stage MKMLizer completed in 206.68s
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 rinen0721-mistral12b-exp4-v1
Waiting for inference service rinen0721-mistral12b-exp4-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service rinen0721-mistral12b-exp4-v1 ready after 180.62835049629211s
Pipeline stage MKMLDeployer completed in 181.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9434797763824463s
Received healthy response to inference request in 1.5396952629089355s
Received healthy response to inference request in 0.8984661102294922s
Received healthy response to inference request in 0.9540231227874756s
Received healthy response to inference request in 1.476531744003296s
5 requests
0 failed requests
5th percentile: 0.9095775127410889
10th percentile: 0.9206889152526856
20th percentile: 0.9429117202758789
30th percentile: 1.0585248470306396
40th percentile: 1.2675282955169678
50th percentile: 1.476531744003296
60th percentile: 1.5017971515655517
70th percentile: 1.5270625591278075
80th percentile: 1.6204521656036377
90th percentile: 1.781965970993042
95th percentile: 1.8627228736877441
99th percentile: 1.927328395843506
mean time: 1.3624392032623291
Pipeline stage StressChecker completed in 8.41s
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 2.93s
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 2.43s
Shutdown handler de-registered
rinen0721-mistral12b-exp4_v1 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 0.13s
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 rinen0721-mistral12b-exp4-v1-profiler
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 2802.26s
Shutdown handler de-registered
rinen0721-mistral12b-exp4_v1 status is now inactive due to auto deactivation removed underperforming models
rinen0721-mistral12b-exp4_v1 status is now torndown due to DeploymentManager action