submission_id: zonemercy-virgo-edit-v5-1e5_v3
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1241.47
display_name: 0919v1-3
family_friendly_score: 0.0
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': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v5-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6204882904889459, 'latency_mean': 1.6115727829933166, 'latency_p50': 1.6041144132614136, 'latency_p90': 1.7831626653671264}, {'batch_size': 3, 'throughput': 1.0717621267329973, 'latency_mean': 2.7856918573379517, 'latency_p50': 2.7879713773727417, 'latency_p90': 3.0597177505493165}, {'batch_size': 5, 'throughput': 1.2297837321097944, 'latency_mean': 4.050168005228042, 'latency_p50': 4.033978223800659, 'latency_p90': 4.5045510053634645}, {'batch_size': 6, 'throughput': 1.2643965486248623, 'latency_mean': 4.725888154506683, 'latency_p50': 4.75430166721344, 'latency_p90': 5.329449415206909}, {'batch_size': 8, 'throughput': 1.2434513566164989, 'latency_mean': 6.398881313800811, 'latency_p50': 6.392685890197754, 'latency_p90': 7.1976066589355465}, {'batch_size': 10, 'throughput': 1.2106785393852646, 'latency_mean': 8.211378273963929, 'latency_p50': 8.231145739555359, 'latency_p90': 9.258012747764587}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v5-
model_name: 0919v1-3
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v5-1e5
model_size: 13B
num_battles: 17407
num_wins: 8523
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-19T14:20:42+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4896306083759407
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 zonemercy-virgo-edit-v5-1e5-v3-mkmlizer
Waiting for job on zonemercy-virgo-edit-v5-1e5-v3-mkmlizer to finish
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ _____ __ __ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: Downloaded to shared memory in 59.127s
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6c9k1xpq, device:0
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: quantized model in 40.087s
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: Processed model zonemercy/Virgo-Edit-v5-1e5 in 99.214s
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3/special_tokens_map.json
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3/config.json
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3/tokenizer_config.json
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3/tokenizer.json
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5-v3/flywheel_model.0.safetensors
zonemercy-virgo-edit-v5-1e5-v3-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:15, 23.59it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:12, 28.71it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:13, 25.38it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:09, 36.55it/s] Loading 0: 7%|▋ | 26/363 [00:01<00:15, 22.20it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:12, 26.68it/s] Loading 0: 10%|▉ | 35/363 [00:01<00:11, 27.97it/s] Loading 0: 11%|█ | 39/363 [00:01<00:10, 30.06it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:11, 28.89it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:09, 31.51it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:10, 30.00it/s] Loading 0: 15%|█▌ | 56/363 [00:01<00:09, 31.00it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:11, 26.77it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:12, 23.17it/s] Loading 0: 20%|█▉ | 71/363 [00:02<00:09, 30.57it/s] Loading 0: 21%|██ | 75/363 [00:02<00:10, 28.68it/s] Loading 0: 22%|██▏ | 79/363 [00:02<00:10, 27.68it/s] Loading 0: 23%|██▎ | 84/363 [00:02<00:09, 30.41it/s] Loading 0: 24%|██▍ | 88/363 [00:03<00:10, 26.29it/s] Loading 0: 26%|██▌ | 93/363 [00:03<00:09, 28.73it/s] Loading 0: 27%|██▋ | 97/363 [00:03<00:09, 27.57it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:11, 22.77it/s] Loading 0: 29%|██▊ | 104/363 [00:03<00:12, 20.51it/s] Loading 0: 31%|███ | 111/363 [00:04<00:09, 27.80it/s] Loading 0: 32%|███▏ | 115/363 [00:04<00:08, 27.79it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:07, 30.42it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:08, 29.01it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:07, 32.14it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 30.00it/s] Loading 0: 38%|███▊ | 137/363 [00:04<00:07, 30.22it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:08, 26.48it/s] Loading 0: 40%|███▉ | 145/363 [00:05<00:08, 25.05it/s] Loading 0: 41%|████ | 149/363 [00:05<00:09, 22.77it/s] Loading 0: 43%|████▎ | 156/363 [00:05<00:07, 29.31it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:07, 28.07it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:06, 29.96it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:06, 29.22it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:05, 31.99it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:06, 30.12it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:07, 25.02it/s] Loading 0: 51%|█████ | 185/363 [00:06<00:07, 22.32it/s] Loading 0: 53%|█████▎ | 192/363 [00:06<00:05, 28.93it/s] Loading 0: 54%|█████▍ | 196/363 [00:07<00:05, 28.31it/s] Loading 0: 55%|█████▍ | 199/363 [00:07<00:06, 27.30it/s] Loading 0: 56%|█████▌ | 202/363 [00:07<00:05, 27.61it/s] Loading 0: 56%|█████▋ | 205/363 [00:07<00:06, 24.49it/s] Loading 0: 58%|█████▊ | 210/363 [00:07<00:05, 28.55it/s] Loading 0: 59%|█████▊ | 213/363 [00:07<00:05, 26.35it/s] Loading 0: 60%|██████ | 218/363 [00:07<00:04, 29.15it/s] Loading 0: 61%|██████▏ | 223/363 [00:08<00:05, 25.96it/s] Loading 0: 62%|██████▏ | 226/363 [00:08<00:05, 24.58it/s] Loading 0: 63%|██████▎ | 230/363 [00:08<00:05, 23.11it/s] Loading 0: 65%|██████▌ | 237/363 [00:08<00:04, 30.60it/s] Loading 0: 66%|██████▋ | 241/363 [00:08<00:04, 29.86it/s] Loading 0: 68%|██████▊ | 246/363 [00:08<00:03, 32.20it/s] Loading 0: 69%|██████▉ | 250/363 [00:08<00:03, 30.00it/s] Loading 0: 70%|███████ | 255/363 [00:09<00:03, 31.33it/s] Loading 0: 71%|███████▏ | 259/363 [00:09<00:03, 29.49it/s] Loading 0: 72%|███████▏ | 263/363 [00:09<00:04, 23.35it/s] Loading 0: 73%|███████▎ | 266/363 [00:09<00:04, 21.32it/s] Loading 0: 75%|███████▌ | 273/363 [00:09<00:03, 28.48it/s] Loading 0: 76%|███████▋ | 277/363 [00:10<00:03, 27.85it/s] Loading 0: 78%|███████▊ | 282/363 [00:10<00:02, 29.96it/s] Loading 0: 79%|███████▉ | 286/363 [00:10<00:02, 28.37it/s] Loading 0: 80%|████████ | 291/363 [00:10<00:02, 30.43it/s] Loading 0: 81%|████████▏ | 295/363 [00:10<00:02, 30.12it/s] Loading 0: 82%|████████▏ | 299/363 [00:10<00:02, 31.02it/s] Loading 0: 84%|████████▎ | 304/363 [00:10<00:02, 27.15it/s] Loading 0: 85%|████████▍ | 307/363 [00:11<00:02, 25.40it/s] Loading 0: 86%|████████▌ | 311/363 [00:11<00:02, 23.48it/s] Loading 0: 87%|████████▋ | 316/363 [00:11<00:01, 28.68it/s] Loading 0: 88%|████████▊ | 320/363 [00:11<00:01, 26.06it/s] Loading 0: 90%|█████████ | 327/363 [00:11<00:01, 32.46it/s] Loading 0: 91%|█████████ | 331/363 [00:11<00:01, 30.70it/s] Loading 0: 93%|█████████▎| 336/363 [00:12<00:00, 32.85it/s] Loading 0: 94%|█████████▎| 340/363 [00:12<00:00, 31.62it/s] Loading 0: 95%|█████████▍| 344/363 [00:19<00:09, 2.03it/s] Loading 0: 96%|█████████▌| 348/363 [00:19<00:05, 2.71it/s] Loading 0: 97%|█████████▋| 353/363 [00:19<00:02, 3.90it/s] Loading 0: 98%|█████████▊| 357/363 [00:19<00:01, 5.05it/s]
Job zonemercy-virgo-edit-v5-1e5-v3-mkmlizer completed after 125.06s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v5-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 126.47s
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 zonemercy-virgo-edit-v5-1e5-v3
Waiting for inference service zonemercy-virgo-edit-v5-1e5-v3 to be ready
Failed to get response for submission zonemercy-virgo-edit-v5-1e5b1_v2: ('http://zonemercy-virgo-edit-v5-1e5b1-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:49314->127.0.0.1:8080: read: connection reset by peer\n')
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
Failed to get response for submission zonemercy-lexical-nemov8_5966_v2: ('http://chaiml-llama-8b-pairwis-8189-v27-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:59340->127.0.0.1:8080: read: connection reset by peer\n')
Inference service zonemercy-virgo-edit-v5-1e5-v3 ready after 272.4831256866455s
Pipeline stage MKMLDeployer completed in 273.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5613417625427246s
Received healthy response to inference request in 1.756232500076294s
Received healthy response to inference request in 1.779632568359375s
Failed to get response for submission function_sabet_2024-09-10: ('http://chaiml-llama-8b-pairwis-8189-v27-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:34946->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 2.707557201385498s
Received healthy response to inference request in 2.2559561729431152s
5 requests
0 failed requests
5th percentile: 1.7609125137329102
10th percentile: 1.7655925273895263
20th percentile: 1.7749525547027587
30th percentile: 1.874897289276123
40th percentile: 2.065426731109619
50th percentile: 2.2559561729431152
60th percentile: 2.378110408782959
70th percentile: 2.5002646446228027
80th percentile: 2.5905848503112794
90th percentile: 2.6490710258483885
95th percentile: 2.6783141136169433
99th percentile: 2.701708583831787
mean time: 2.2121440410614013
Pipeline stage StressChecker completed in 12.50s
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 6.32s
Shutdown handler de-registered
zonemercy-virgo-edit-v5-1e5_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 0.13s
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 zonemercy-virgo-edit-v5-1e5-v3-profiler
Waiting for inference service zonemercy-virgo-edit-v5-1e5-v3-profiler to be ready
Inference service zonemercy-virgo-edit-v5-1e5-v3-profiler ready after 200.4429588317871s
Pipeline stage MKMLProfilerDeployer completed in 200.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit95311db7cedd6b55470573b72f481217-deploc8447:/code/chaiverse_profiler_1726756299 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit95311db7cedd6b55470573b72f481217-deploc8447 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726756299 && 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_1726756299/summary.json'
kubectl exec -it zonemercy-virgo-edit95311db7cedd6b55470573b72f481217-deploc8447 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726756299/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1160.65s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v5-1e5-v3-profiler is running
Tearing down inference service zonemercy-virgo-edit-v5-1e5-v3-profiler
Service zonemercy-virgo-edit-v5-1e5-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.00s
Shutdown handler de-registered
zonemercy-virgo-edit-v5-1e5_v3 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v5-1e5_v3 status is now torndown due to DeploymentManager action