submission_id: valentin87-scp-096_v1
developer_uid: valentin87
alignment_samples: 11210
alignment_score: 0.38446284323214636
best_of: 8
celo_rating: 1227.32
display_name: valentin87-gojoshort_v1
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}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: valentin87/SCP-096
latencies: [{'batch_size': 1, 'throughput': 0.6852277992498511, 'latency_mean': 1.4592668628692627, 'latency_p50': 1.4668148756027222, 'latency_p90': 1.6088713884353638}, {'batch_size': 3, 'throughput': 1.3435234647159948, 'latency_mean': 2.2303906440734864, 'latency_p50': 2.250181555747986, 'latency_p90': 2.501763701438904}, {'batch_size': 5, 'throughput': 1.589538683005945, 'latency_mean': 3.1339490175247193, 'latency_p50': 3.1297231912612915, 'latency_p90': 3.498683524131775}, {'batch_size': 6, 'throughput': 1.6042903248572165, 'latency_mean': 3.7136342942714693, 'latency_p50': 3.7061840295791626, 'latency_p90': 4.153475403785706}, {'batch_size': 8, 'throughput': 1.6183964304636378, 'latency_mean': 4.92240176320076, 'latency_p50': 4.927259087562561, 'latency_p90': 5.553348803520202}, {'batch_size': 10, 'throughput': 1.5294815836178066, 'latency_mean': 6.4960004532337186, 'latency_p50': 6.507218360900879, 'latency_p90': 7.306842589378357}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: valentin87/SCP-096
model_name: valentin87-gojoshort_v1
model_num_parameters: 12772070400.0
model_repo: valentin87/SCP-096
model_size: 13B
num_battles: 11209
num_wins: 5511
propriety_score: 0.7611496531219029
propriety_total_count: 1009.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-04T22:22:07+00:00
us_pacific_date: 2024-09-04
win_ratio: 0.4916584887144259
Download Preference Data
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 valentin87-scp-096-v1-mkmlizer
Waiting for job on valentin87-scp-096-v1-mkmlizer to finish
valentin87-scp-096-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
valentin87-scp-096-v1-mkmlizer: ║     _____            __           __                                ║
valentin87-scp-096-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
valentin87-scp-096-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
valentin87-scp-096-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
valentin87-scp-096-v1-mkmlizer: ║       /___/                                                         ║
valentin87-scp-096-v1-mkmlizer: ║                                                                     ║
valentin87-scp-096-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
valentin87-scp-096-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
valentin87-scp-096-v1-mkmlizer: ║  https://mk1.ai                                                     ║
valentin87-scp-096-v1-mkmlizer: ║                                                                     ║
valentin87-scp-096-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
valentin87-scp-096-v1-mkmlizer: ║  belonging to:                                                      ║
valentin87-scp-096-v1-mkmlizer: ║                                                                     ║
valentin87-scp-096-v1-mkmlizer: ║  Chai Research Corp.                                                ║
valentin87-scp-096-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
valentin87-scp-096-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
valentin87-scp-096-v1-mkmlizer: ║                                                                     ║
valentin87-scp-096-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
valentin87-scp-096-v1-mkmlizer: Downloaded to shared memory in 111.313s
valentin87-scp-096-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnk_8kk9q, device:0
valentin87-scp-096-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
valentin87-scp-096-v1-mkmlizer: quantized model in 39.949s
valentin87-scp-096-v1-mkmlizer: Processed model valentin87/SCP-096 in 151.262s
valentin87-scp-096-v1-mkmlizer: creating bucket guanaco-mkml-models
valentin87-scp-096-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
valentin87-scp-096-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/valentin87-scp-096-v1
valentin87-scp-096-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/valentin87-scp-096-v1/config.json
valentin87-scp-096-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/valentin87-scp-096-v1/special_tokens_map.json
valentin87-scp-096-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/valentin87-scp-096-v1/tokenizer_config.json
valentin87-scp-096-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/valentin87-scp-096-v1/tokenizer.json
valentin87-scp-096-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/valentin87-scp-096-v1/flywheel_model.0.safetensors
valentin87-scp-096-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 23.08it/s]
Loading 0:   3%|▎         | 10/363 [00:00<00:12, 28.17it/s]
Loading 0:   4%|▍         | 14/363 [00:00<00:13, 25.46it/s]
Loading 0:   6%|▌         | 20/363 [00:00<00:09, 34.32it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:13, 24.43it/s]
Loading 0:   7%|▋         | 27/363 [00:01<00:14, 23.21it/s]
Loading 0:   9%|▉         | 32/363 [00:01<00:13, 23.66it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:11, 28.57it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:12, 25.86it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.15it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:10, 30.54it/s]
Loading 0:  15%|█▌        | 56/363 [00:02<00:10, 30.28it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 25.82it/s]
Loading 0:  18%|█▊        | 64/363 [00:02<00:13, 22.68it/s]
Loading 0:  19%|█▉        | 69/363 [00:02<00:10, 27.73it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:10, 27.65it/s]
Loading 0:  21%|██        | 77/363 [00:02<00:11, 25.58it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:09, 30.48it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 27.22it/s]
Loading 0:  25%|██▌       | 91/363 [00:03<00:08, 31.76it/s]
Loading 0:  26%|██▌       | 95/363 [00:03<00:09, 28.14it/s]
Loading 0:  28%|██▊       | 101/363 [00:03<00:10, 26.02it/s]
Loading 0:  29%|██▊       | 104/363 [00:03<00:11, 23.12it/s]
Loading 0:  30%|███       | 109/363 [00:04<00:09, 27.86it/s]
Loading 0:  31%|███       | 113/363 [00:04<00:09, 25.56it/s]
Loading 0:  33%|███▎      | 118/363 [00:04<00:08, 30.34it/s]
Loading 0:  34%|███▎      | 122/363 [00:04<00:08, 26.87it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:07, 31.39it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:08, 27.83it/s]
Loading 0:  38%|███▊      | 137/363 [00:04<00:07, 31.73it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 26.90it/s]
Loading 0:  40%|████      | 146/363 [00:05<00:08, 26.88it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:09, 23.54it/s]
Loading 0:  43%|████▎     | 156/363 [00:05<00:06, 30.16it/s]
Loading 0:  44%|████▍     | 160/363 [00:05<00:06, 29.42it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 31.39it/s]
Loading 0:  47%|████▋     | 169/363 [00:06<00:06, 30.29it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:05, 32.40it/s]
Loading 0:  49%|████▉     | 178/363 [00:06<00:06, 30.49it/s]
Loading 0:  50%|█████     | 182/363 [00:06<00:07, 24.97it/s]
Loading 0:  51%|█████     | 185/363 [00:06<00:07, 22.43it/s]
Loading 0:  53%|█████▎    | 192/363 [00:06<00:05, 29.56it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:05, 28.67it/s]
Loading 0:  55%|█████▌    | 201/363 [00:07<00:05, 30.46it/s]
Loading 0:  56%|█████▋    | 205/363 [00:07<00:05, 29.41it/s]
Loading 0:  58%|█████▊    | 210/363 [00:07<00:04, 31.78it/s]
Loading 0:  59%|█████▉    | 214/363 [00:07<00:04, 30.52it/s]
Loading 0:  60%|██████    | 218/363 [00:07<00:04, 30.39it/s]
Loading 0:  61%|██████▏   | 223/363 [00:08<00:05, 25.62it/s]
Loading 0:  62%|██████▏   | 226/363 [00:08<00:05, 24.35it/s]
Loading 0:  63%|██████▎   | 230/363 [00:08<00:05, 23.43it/s]
Loading 0:  65%|██████▍   | 235/363 [00:08<00:04, 28.65it/s]
Loading 0:  66%|██████▌   | 239/363 [00:08<00:04, 26.11it/s]
Loading 0:  68%|██████▊   | 246/363 [00:08<00:03, 32.43it/s]
Loading 0:  69%|██████▉   | 250/363 [00:08<00:03, 30.97it/s]
Loading 0:  70%|███████   | 255/363 [00:09<00:03, 32.60it/s]
Loading 0:  71%|███████▏  | 259/363 [00:09<00:03, 31.08it/s]
Loading 0:  72%|███████▏  | 263/363 [00:09<00:03, 25.02it/s]
Loading 0:  73%|███████▎  | 266/363 [00:09<00:04, 22.35it/s]
Loading 0:  75%|███████▍  | 271/363 [00:09<00:03, 27.40it/s]
Loading 0:  76%|███████▌  | 275/363 [00:09<00:03, 24.78it/s]
Loading 0:  77%|███████▋  | 280/363 [00:10<00:02, 29.84it/s]
Loading 0:  78%|███████▊  | 284/363 [00:10<00:02, 27.08it/s]
Loading 0:  80%|████████  | 291/363 [00:10<00:02, 33.01it/s]
Loading 0:  81%|████████▏ | 295/363 [00:10<00:02, 30.95it/s]
Loading 0:  82%|████████▏ | 299/363 [00:10<00:02, 30.70it/s]
Loading 0:  84%|████████▎ | 304/363 [00:10<00:02, 26.57it/s]
Loading 0:  85%|████████▍ | 307/363 [00:11<00:02, 25.19it/s]
Loading 0:  86%|████████▌ | 311/363 [00:11<00:02, 23.66it/s]
Loading 0:  88%|████████▊ | 318/363 [00:11<00:01, 30.11it/s]
Loading 0:  89%|████████▊ | 322/363 [00:11<00:01, 29.23it/s]
Loading 0:  90%|█████████ | 327/363 [00:11<00:01, 30.79it/s]
Loading 0:  91%|█████████ | 331/363 [00:11<00:01, 29.61it/s]
Loading 0:  93%|█████████▎| 336/363 [00:11<00:00, 31.72it/s]
Loading 0:  94%|█████████▎| 340/363 [00:12<00:00, 30.35it/s]
Loading 0:  95%|█████████▍| 344/363 [00:19<00:09,  1.99it/s]
Loading 0:  96%|█████████▌| 348/363 [00:19<00:05,  2.67it/s]
Loading 0:  97%|█████████▋| 353/363 [00:19<00:02,  3.88it/s]
Loading 0:  98%|█████████▊| 357/363 [00:19<00:01,  5.03it/s]
                                                            

Job valentin87-scp-096-v1-mkmlizer completed after 177.58s with status: succeeded
Stopping job with name valentin87-scp-096-v1-mkmlizer
Pipeline stage MKMLizer completed in 178.50s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service valentin87-scp-096-v1
Waiting for inference service valentin87-scp-096-v1 to be ready
Inference service valentin87-scp-096-v1 ready after 150.64926958084106s
Pipeline stage MKMLDeployer completed in 151.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.592235565185547s
Received healthy response to inference request in 1.594627857208252s
Received healthy response to inference request in 1.9461097717285156s
Received healthy response to inference request in 1.5076344013214111s
Received healthy response to inference request in 2.0523555278778076s
5 requests
0 failed requests
5th percentile: 1.5250330924987794
10th percentile: 1.5424317836761474
20th percentile: 1.5772291660308837
30th percentile: 1.6649242401123048
40th percentile: 1.8055170059204102
50th percentile: 1.9461097717285156
60th percentile: 1.9886080741882324
70th percentile: 2.031106376647949
80th percentile: 2.1603315353393557
90th percentile: 2.376283550262451
95th percentile: 2.4842595577239988
99th percentile: 2.5706403636932373
mean time: 1.9385926246643066
Pipeline stage StressChecker completed in 11.18s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.60s
Shutdown handler de-registered
valentin87-scp-096_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service valentin87-scp-096-v1-profiler
Waiting for inference service valentin87-scp-096-v1-profiler to be ready
Inference service valentin87-scp-096-v1-profiler ready after 150.45236229896545s
Pipeline stage MKMLProfilerDeployer completed in 150.80s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/valentin87-scp-096-v1-profiler-predictor-00001-deployment-rz9sp:/code/chaiverse_profiler_1725489067 --namespace tenant-chaiml-guanaco
kubectl exec -it valentin87-scp-096-v1-profiler-predictor-00001-deployment-rz9sp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725489067 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725489067/summary.json'
kubectl exec -it valentin87-scp-096-v1-profiler-predictor-00001-deployment-rz9sp --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725489067/summary.json'
Pipeline stage MKMLProfilerRunner completed in 951.03s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service valentin87-scp-096-v1-profiler is running
Tearing down inference service valentin87-scp-096-v1-profiler
Service valentin87-scp-096-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.67s
Shutdown handler de-registered
valentin87-scp-096_v1 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics