developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63041_v1
model_name: junhua024-chai-16-full-_63041_v1
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T20:08:57+00:00
num_battles: 10335
num_wins: 5100
celo_rating: 1277.02
family_friendly_score: 0.5558000000000001
family_friendly_standard_error: 0.0070268963276826565
submission_type: basic
model_repo: junhua024/chai_16_full_11_qkv_o_ffn_1925
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6034761771578417, 'latency_mean': 1.65696280002594, 'latency_p50': 1.6534192562103271, 'latency_p90': 1.8372593164443969}, {'batch_size': 3, 'throughput': 1.0942297647318375, 'latency_mean': 2.738143485784531, 'latency_p50': 2.7556262016296387, 'latency_p90': 2.994050645828247}, {'batch_size': 5, 'throughput': 1.309653731090495, 'latency_mean': 3.800636236667633, 'latency_p50': 3.7936437129974365, 'latency_p90': 4.300922274589539}, {'batch_size': 6, 'throughput': 1.39572726870941, 'latency_mean': 4.272625720500946, 'latency_p50': 4.260493516921997, 'latency_p90': 4.810493516921997}, {'batch_size': 8, 'throughput': 1.4421585487062418, 'latency_mean': 5.5027894115448, 'latency_p50': 5.543956995010376, 'latency_p90': 6.102137637138367}, {'batch_size': 10, 'throughput': 1.4809289411423072, 'latency_mean': 6.699570370912552, 'latency_p50': 6.713671326637268, 'latency_p90': 7.558377432823181}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63041_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_11_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-19
win_ratio: 0.4934687953555878
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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 junhua024-chai-16-full-63041-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-63041-v1-mkmlizer to finish
junhua024-chai-16-full-63041-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-16-full-63041-v1-mkmlizer: ║ ║
junhua024-chai-16-full-63041-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-16-full-63041-v1-mkmlizer: Downloaded to shared memory in 135.367s
junhua024-chai-16-full-63041-v1-mkmlizer: Checking if junhua024/chai_16_full_11_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63041-v1-mkmlizer: Creating repo ChaiML/chai_16_full_11_qkv_o_ffn_1925 and uploading /tmp/tmp3grl1eeg to it
junhua024-chai-16-full-63041-v1-mkmlizer: 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:01<00:42, 1.71s/it] 8%|▊ | 2/26 [00:03<00:37, 1.55s/it] 12%|█▏ | 3/26 [00:04<00:36, 1.58s/it] 15%|█▌ | 4/26 [00:06<00:33, 1.51s/it] 19%|█▉ | 5/26 [00:07<00:33, 1.60s/it] 23%|██▎ | 6/26 [00:09<00:32, 1.64s/it] 27%|██▋ | 7/26 [00:11<00:29, 1.56s/it] 31%|███ | 8/26 [00:12<00:27, 1.50s/it] 35%|███▍ | 9/26 [00:13<00:25, 1.50s/it] 38%|███▊ | 10/26 [00:15<00:24, 1.53s/it] 42%|████▏ | 11/26 [00:16<00:22, 1.50s/it] 46%|████▌ | 12/26 [00:18<00:20, 1.45s/it] 50%|█████ | 13/26 [00:19<00:18, 1.43s/it] 54%|█████▍ | 14/26 [00:21<00:18, 1.51s/it] 58%|█████▊ | 15/26 [00:23<00:18, 1.67s/it] 62%|██████▏ | 16/26 [00:24<00:15, 1.56s/it] 65%|██████▌ | 17/26 [00:27<00:16, 1.87s/it] 69%|██████▉ | 18/26 [00:28<00:13, 1.74s/it] 73%|███████▎ | 19/26 [00:30<00:11, 1.71s/it] 77%|███████▋ | 20/26 [00:31<00:09, 1.59s/it] 81%|████████ | 21/26 [00:33<00:08, 1.61s/it] 85%|████████▍ | 22/26 [00:36<00:07, 2.00s/it] 88%|████████▊ | 23/26 [00:37<00:05, 1.79s/it] 92%|█████████▏| 24/26 [00:39<00:03, 1.69s/it] 96%|█████████▌| 25/26 [00:40<00:01, 1.72s/it] 100%|██████████| 26/26 [00:41<00:00, 1.52s/it] 100%|██████████| 26/26 [00:41<00:00, 1.61s/it]
junhua024-chai-16-full-63041-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3grl1eeg, device:0
junhua024-chai-16-full-63041-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63041-v1-mkmlizer: quantized model in 31.269s
junhua024-chai-16-full-63041-v1-mkmlizer: Processed model junhua024/chai_16_full_11_qkv_o_ffn_1925 in 235.053s
junhua024-chai-16-full-63041-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63041-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63041-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v1/nvidia
junhua024-chai-16-full-63041-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v1/nvidia/config.json
junhua024-chai-16-full-63041-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-63041-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63041-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-63041-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 2/363 [00:00<00:22, 16.22it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:19, 18.52it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:11, 30.90it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:10, 32.73it/s] Loading 0: 6%|▋ | 23/363 [00:00<00:09, 34.56it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:06, 48.08it/s] Loading 0: 10%|█ | 38/363 [00:01<00:08, 36.82it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:09, 35.07it/s] Loading 0: 14%|█▍ | 50/363 [00:01<00:08, 38.94it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:09, 34.07it/s] Loading 0: 16%|█▋ | 59/363 [00:01<00:08, 33.99it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:08, 36.04it/s] Loading 0: 19%|█▉ | 69/363 [00:01<00:08, 35.07it/s] Loading 0: 21%|██ | 75/363 [00:02<00:08, 35.25it/s] Loading 0: 22%|██▏ | 80/363 [00:02<00:08, 33.73it/s] Loading 0: 24%|██▎ | 86/363 [00:02<00:07, 39.03it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:06, 38.99it/s] Loading 0: 27%|██▋ | 97/363 [00:02<00:06, 39.68it/s] Loading 0: 28%|██▊ | 102/363 [00:02<00:06, 38.97it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:06, 36.79it/s] Loading 0: 31%|███ | 111/363 [00:03<00:06, 39.74it/s] Loading 0: 32%|███▏ | 116/363 [00:03<00:07, 33.22it/s] Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 33.42it/s] Loading 0: 34%|███▍ | 124/363 [00:03<00:06, 34.51it/s] Loading 0: 35%|███▌ | 128/363 [00:03<00:07, 32.04it/s] Loading 0: 36%|███▋ | 132/363 [00:03<00:07, 31.60it/s] Loading 0: 38%|███▊ | 138/363 [00:03<00:06, 32.60it/s] Loading 0: 39%|███▉ | 143/363 [00:04<00:06, 33.17it/s] Loading 0: 41%|████ | 149/363 [00:04<00:06, 33.78it/s] Loading 0: 43%|████▎ | 155/363 [00:04<00:05, 38.57it/s] Loading 0: 44%|████▍ | 160/363 [00:04<00:05, 35.95it/s] Loading 0: 45%|████▌ | 164/363 [00:04<00:05, 36.25it/s] Loading 0: 46%|████▋ | 168/363 [00:04<00:05, 34.02it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:04, 41.28it/s] Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 35.30it/s] Loading 0: 51%|█████ | 185/363 [00:05<00:05, 34.91it/s] Loading 0: 53%|█████▎ | 191/363 [00:05<00:05, 34.30it/s] Loading 0: 54%|█████▎ | 195/363 [00:05<00:05, 33.20it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:04, 34.22it/s] Loading 0: 57%|█████▋ | 206/363 [00:05<00:04, 34.28it/s] Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 34.69it/s] Loading 0: 61%|██████ | 220/363 [00:06<00:03, 44.23it/s] Loading 0: 62%|██████▏ | 225/363 [00:06<00:04, 34.39it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:03, 34.30it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 41.12it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 32.80it/s] Loading 0: 68%|██████▊ | 246/363 [00:06<00:03, 32.09it/s] Loading 0: 69%|██████▉ | 250/363 [00:07<00:03, 32.30it/s] Loading 0: 70%|██████▉ | 254/363 [00:07<00:03, 30.40it/s] Loading 0: 71%|███████ | 258/363 [00:07<00:03, 29.93it/s] Loading 0: 72%|███████▏ | 263/363 [00:07<00:02, 33.71it/s] Loading 0: 74%|███████▎ | 267/363 [00:07<00:02, 33.95it/s] Loading 0: 75%|███████▍ | 271/363 [00:07<00:03, 30.46it/s] Loading 0: 76%|███████▌ | 275/363 [00:07<00:02, 29.41it/s] Loading 0: 77%|███████▋ | 281/363 [00:08<00:02, 35.44it/s] Loading 0: 79%|███████▉ | 286/363 [00:08<00:02, 35.14it/s] Loading 0: 80%|███████▉ | 290/363 [00:08<00:02, 35.22it/s] Loading 0: 81%|████████ | 294/363 [00:08<00:02, 33.11it/s] Loading 0: 83%|████████▎ | 302/363 [00:08<00:01, 40.36it/s] Loading 0: 85%|████████▍ | 307/363 [00:08<00:01, 34.64it/s] Loading 0: 86%|████████▌ | 311/363 [00:08<00:01, 33.99it/s] Loading 0: 87%|████████▋ | 317/363 [00:09<00:01, 36.28it/s] Loading 0: 88%|████████▊ | 321/363 [00:09<00:01, 34.87it/s] Loading 0: 90%|████████▉ | 326/363 [00:09<00:00, 37.91it/s] Loading 0: 91%|█████████ | 331/363 [00:09<00:00, 36.82it/s] Loading 0: 93%|█████████▎| 336/363 [00:09<00:00, 38.21it/s] Loading 0: 94%|█████████▎| 340/363 [00:09<00:00, 37.05it/s] Loading 0: 96%|█████████▌| 347/363 [00:09<00:00, 45.12it/s] Loading 0: 97%|█████████▋| 352/363 [00:10<00:00, 21.68it/s] Loading 0: 98%|█████████▊| 357/363 [00:10<00:00, 24.69it/s]
Job junhua024-chai-16-full-63041-v1-mkmlizer completed after 256.62s with status: succeeded
Stopping job with name junhua024-chai-16-full-63041-v1-mkmlizer
Pipeline stage MKMLizer completed in 257.18s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-63041-v1
Waiting for inference service junhua024-chai-16-full-63041-v1 to be ready
Inference service junhua024-chai-16-full-63041-v1 ready after 331.42557096481323s
Pipeline stage MKMLDeployer completed in 332.01s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.703665018081665s
Received healthy response to inference request in 2.0979976654052734s
Received healthy response to inference request in 1.5369718074798584s
Received healthy response to inference request in 1.5551996231079102s
Received healthy response to inference request in 1.5562858581542969s
5 requests
0 failed requests
5th percentile: 1.5406173706054687
10th percentile: 1.5442629337310791
20th percentile: 1.5515540599823
30th percentile: 1.5554168701171875
40th percentile: 1.555851364135742
50th percentile: 1.5562858581542969
60th percentile: 1.7729705810546874
70th percentile: 1.989655303955078
80th percentile: 2.4191311359405523
90th percentile: 3.0613980770111087
95th percentile: 3.382531547546386
99th percentile: 3.639438323974609
mean time: 2.090023994445801
Pipeline stage StressChecker completed in 11.86s
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 1.10s
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 0.70s
Shutdown handler de-registered
junhua024-chai-16-full-_63041_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 0.16s
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 junhua024-chai-16-full-63041-v1-profiler
Waiting for inference service junhua024-chai-16-full-63041-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5039.95s
Shutdown handler de-registered
junhua024-chai-16-full-_63041_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63041_v1 status is now torndown due to DeploymentManager action