developer_uid: zonemercy
submission_id: zonemercy-elite-pref-v1-1e5_v3
model_name: zonemercy-elite-pref-v1-1e5_v3
model_group: zonemercy/Elite-Pref-v1-
status: torndown
timestamp: 2024-09-13T17:41:55+00:00
num_battles: 10502
num_wins: 5305
celo_rating: 1250.26
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Elite-Pref-v1-1e5
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6091692942371614, 'latency_mean': 1.641490989923477, 'latency_p50': 1.6289429664611816, 'latency_p90': 1.8098774433135987}, {'batch_size': 3, 'throughput': 1.0703112630247522, 'latency_mean': 2.792840167284012, 'latency_p50': 2.7963125705718994, 'latency_p90': 3.0356859445571898}, {'batch_size': 5, 'throughput': 1.233720376859374, 'latency_mean': 4.036430215835571, 'latency_p50': 4.031562805175781, 'latency_p90': 4.527781438827515}, {'batch_size': 6, 'throughput': 1.2567727225811458, 'latency_mean': 4.756949251890182, 'latency_p50': 4.806342124938965, 'latency_p90': 5.288336682319641}, {'batch_size': 8, 'throughput': 1.242491902211238, 'latency_mean': 6.41116717338562, 'latency_p50': 6.4241660833358765, 'latency_p90': 7.239210247993469}, {'batch_size': 10, 'throughput': 1.204731311955456, 'latency_mean': 8.249725419282914, 'latency_p50': 8.350220203399658, 'latency_p90': 9.223347711563111}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: zonemercy-elite-pref-v1-1e5_v3
is_internal_developer: True
language_model: zonemercy/Elite-Pref-v1-1e5
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2024-09-13
win_ratio: 0.5051418777375738
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', '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 zonemercy-elite-pref-v1-1e5-v3-mkmlizer
Waiting for job on zonemercy-elite-pref-v1-1e5-v3-mkmlizer to finish
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ _____ __ __ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ /___/ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ https://mk1.ai ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ belonging to: ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ║ ║
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Downloaded to shared memory in 54.133s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4btzz_pq, device:0
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: quantized model in 39.655s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Processed model zonemercy/Elite-Pref-v1-1e5 in 93.788s
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/tokenizer_config.json
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/tokenizer.json
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-elite-pref-v1-1e5-v3/flywheel_model.0.safetensors
zonemercy-elite-pref-v1-1e5-v3-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:15, 23.85it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:11, 30.78it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:12, 27.20it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:09, 37.73it/s] Loading 0: 7%|▋ | 26/363 [00:01<00:14, 22.59it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:12, 27.10it/s] Loading 0: 10%|▉ | 35/363 [00:01<00:11, 28.61it/s] Loading 0: 11%|█ | 39/363 [00:01<00:10, 30.69it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:10, 30.43it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:09, 33.62it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:09, 32.57it/s] Loading 0: 15%|█▌ | 56/363 [00:01<00:09, 33.21it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:10, 28.59it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:11, 26.50it/s] Loading 0: 20%|█▉ | 71/363 [00:02<00:09, 31.77it/s] Loading 0: 21%|██ | 75/363 [00:02<00:09, 31.35it/s] Loading 0: 22%|██▏ | 79/363 [00:02<00:09, 30.84it/s] Loading 0: 23%|██▎ | 84/363 [00:02<00:08, 33.98it/s] Loading 0: 24%|██▍ | 88/363 [00:02<00:08, 32.66it/s] Loading 0: 26%|██▌ | 93/363 [00:03<00:07, 35.24it/s] Loading 0: 27%|██▋ | 97/363 [00:03<00:07, 33.71it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:09, 26.81it/s] Loading 0: 29%|██▊ | 104/363 [00:03<00:11, 23.32it/s] Loading 0: 31%|███ | 111/363 [00:03<00:08, 31.24it/s] Loading 0: 32%|███▏ | 115/363 [00:03<00:08, 30.87it/s] Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 34.02it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:07, 32.46it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:06, 35.24it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:06, 32.92it/s] Loading 0: 38%|███▊ | 137/363 [00:04<00:06, 33.24it/s] Loading 0: 39%|███▉ | 142/363 [00:04<00:07, 28.64it/s] Loading 0: 40%|████ | 146/363 [00:04<00:07, 28.59it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 24.54it/s] Loading 0: 43%|████▎ | 156/363 [00:05<00:06, 31.89it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:06, 31.20it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:05, 34.22it/s] Loading 0: 47%|████▋ | 169/363 [00:05<00:05, 32.38it/s] Loading 0: 48%|████▊ | 174/363 [00:05<00:05, 34.46it/s] Loading 0: 49%|████▉ | 178/363 [00:05<00:05, 32.10it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:07, 25.35it/s] Loading 0: 51%|█████ | 185/363 [00:06<00:07, 22.32it/s] Loading 0: 53%|█████▎ | 192/363 [00:06<00:05, 30.05it/s] Loading 0: 54%|█████▍ | 196/363 [00:06<00:05, 29.86it/s] Loading 0: 55%|█████▌ | 201/363 [00:06<00:04, 32.66it/s] Loading 0: 56%|█████▋ | 205/363 [00:06<00:04, 31.62it/s] Loading 0: 58%|█████▊ | 210/363 [00:06<00:04, 34.47it/s] Loading 0: 59%|█████▉ | 214/363 [00:07<00:04, 32.90it/s] Loading 0: 60%|██████ | 218/363 [00:07<00:04, 32.59it/s] Loading 0: 61%|██████▏ | 223/363 [00:07<00:05, 27.35it/s] Loading 0: 62%|██████▏ | 226/363 [00:07<00:05, 25.56it/s] Loading 0: 63%|██████▎ | 230/363 [00:07<00:05, 24.65it/s] Loading 0: 65%|██████▌ | 237/363 [00:07<00:03, 32.13it/s] Loading 0: 66%|██████▋ | 241/363 [00:07<00:03, 31.16it/s] Loading 0: 68%|██████▊ | 246/363 [00:08<00:03, 33.93it/s] Loading 0: 69%|██████▉ | 250/363 [00:08<00:03, 32.49it/s] Loading 0: 70%|███████ | 255/363 [00:08<00:03, 34.81it/s] Loading 0: 71%|███████▏ | 259/363 [00:08<00:03, 32.89it/s] Loading 0: 72%|███████▏ | 263/363 [00:08<00:03, 26.71it/s] Loading 0: 73%|███████▎ | 266/363 [00:08<00:04, 23.22it/s] Loading 0: 75%|███████▌ | 273/363 [00:09<00:02, 30.97it/s] Loading 0: 76%|███████▋ | 277/363 [00:09<00:02, 30.13it/s] Loading 0: 78%|███████▊ | 282/363 [00:09<00:02, 32.26it/s] Loading 0: 79%|███████▉ | 286/363 [00:09<00:02, 30.54it/s] Loading 0: 80%|████████ | 291/363 [00:09<00:02, 33.31it/s] Loading 0: 81%|████████▏ | 295/363 [00:09<00:02, 32.10it/s] Loading 0: 82%|████████▏ | 299/363 [00:09<00:02, 31.95it/s] Loading 0: 84%|████████▎ | 304/363 [00:10<00:02, 27.40it/s] Loading 0: 85%|████████▍ | 307/363 [00:10<00:02, 25.68it/s] Loading 0: 86%|████████▌ | 311/363 [00:10<00:02, 24.51it/s] Loading 0: 88%|████████▊ | 318/363 [00:10<00:01, 31.95it/s] Loading 0: 89%|████████▊ | 322/363 [00:10<00:01, 31.06it/s] Loading 0: 90%|█████████ | 327/363 [00:10<00:01, 33.66it/s] Loading 0: 91%|█████████ | 331/363 [00:10<00:00, 32.41it/s] Loading 0: 93%|█████████▎| 336/363 [00:11<00:00, 35.02it/s] Loading 0: 94%|█████████▎| 340/363 [00:11<00:00, 33.21it/s] Loading 0: 95%|█████████▍| 344/363 [00:18<00:09, 1.98it/s] Loading 0: 96%|█████████▌| 348/363 [00:18<00:05, 2.67it/s] Loading 0: 97%|█████████▋| 353/363 [00:18<00:02, 3.89it/s] Loading 0: 98%|█████████▊| 357/363 [00:18<00:01, 5.06it/s]
Job zonemercy-elite-pref-v1-1e5-v3-mkmlizer completed after 125.53s with status: succeeded
Stopping job with name zonemercy-elite-pref-v1-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 126.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service zonemercy-elite-pref-v1-1e5-v3
Waiting for inference service zonemercy-elite-pref-v1-1e5-v3 to be ready
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service zonemercy-elite-pref-v1-1e5-v3 ready after 180.95623326301575s
Pipeline stage MKMLDeployer completed in 181.35s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.480405807495117s
Received healthy response to inference request in 2.900006055831909s
Received healthy response to inference request in 1.924269199371338s
Received healthy response to inference request in 2.1597301959991455s
Received healthy response to inference request in 2.034012794494629s
5 requests
0 failed requests
5th percentile: 1.946217918395996
10th percentile: 1.9681666374206543
20th percentile: 2.012064075469971
30th percentile: 2.0591562747955323
40th percentile: 2.1094432353973387
50th percentile: 2.1597301959991455
60th percentile: 2.2880004405975343
70th percentile: 2.4162706851959226
80th percentile: 2.564325857162476
90th percentile: 2.7321659564971923
95th percentile: 2.8160860061645505
99th percentile: 2.8832220458984374
mean time: 2.2996848106384276
Pipeline stage StressChecker completed in 13.17s
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 5.14s
Shutdown handler de-registered
zonemercy-elite-pref-v1-1e5_v3 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 0.12s
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 zonemercy-elite-pref-v1-1e5-v3-profiler
Waiting for inference service zonemercy-elite-pref-v1-1e5-v3-profiler to be ready
Inference service zonemercy-elite-pref-v1-1e5-v3-profiler ready after 180.43491387367249s
Pipeline stage MKMLProfilerDeployer completed in 181.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v:/code/chaiverse_profiler_1726249862 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726249862 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726249862/summary.json'
kubectl exec -it zonemercy-elite-pref37a67aeb4e104b9f37f598bafbedacec-deplodjj4v --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726249862/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1170.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-elite-pref-v1-1e5-v3-profiler is running
Tearing down inference service zonemercy-elite-pref-v1-1e5-v3-profiler
Service zonemercy-elite-pref-v1-1e5-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.74s
Shutdown handler de-registered
zonemercy-elite-pref-v1-1e5_v3 status is now inactive due to auto deactivation removed underperforming models
zonemercy-elite-pref-v1-1e5_v3 status is now torndown due to DeploymentManager action