developer_uid: NischayDnk
submission_id: chaiml-mistral32-sft-to_61184_v2
model_name: chaiml-mistral32-sft-to_61184_v2
model_group: ChaiML/mistral32-sft-top
status: torndown
timestamp: 2025-07-06T22:21:50+00:00
num_battles: 10147
num_wins: 5162
celo_rating: 1292.09
family_friendly_score: 0.4978
family_friendly_standard_error: 0.007070999363597765
submission_type: basic
model_repo: ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.394147821307708, 'latency_mean': 2.536962418556213, 'latency_p50': 2.5274890661239624, 'latency_p90': 2.786086916923523}, {'batch_size': 2, 'throughput': 0.5754917915551702, 'latency_mean': 3.4668886053562162, 'latency_p50': 3.4773383140563965, 'latency_p90': 3.8110134840011596}, {'batch_size': 3, 'throughput': 0.6799126827796509, 'latency_mean': 4.3996434032917024, 'latency_p50': 4.3975830078125, 'latency_p90': 4.902727961540222}, {'batch_size': 4, 'throughput': 0.7713423104082482, 'latency_mean': 5.179934670925141, 'latency_p50': 5.230512499809265, 'latency_p90': 5.925364565849304}, {'batch_size': 5, 'throughput': 0.7879863390055651, 'latency_mean': 6.311657871007919, 'latency_p50': 6.368371367454529, 'latency_p90': 7.114978718757629}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-sft-to_61184_v2
is_internal_developer: False
language_model: ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-07-06
win_ratio: 0.5087217896915345
generation_params: {'temperature': 0.55, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_end|>', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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 chaiml-mistral32-sft-to-61184-v2-mkmlizer
Stopping job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
Waiting for job on chaiml-mistral32-sft-to-61184-v2-mkmlizer to finish
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Version: 0.29.15 ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Downloaded to shared memory in 63.050s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Checking if ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3 already exists in ChaiML
chaiml-mistral32-sft-to-61184-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb60wlec3, device:0
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sft-to-61184-v2-mkmlizer: quantized model in 49.341s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Processed model ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3 in 112.391s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sft-to-61184-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/config.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/special_tokens_map.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/tokenizer_config.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/tokenizer.json
Stopping job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
%s, retrying in %s seconds...
Stopping job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
%s, retrying in %s seconds...
Stopping job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
Waiting for job on chaiml-mistral32-sft-to-61184-v2-mkmlizer to finish
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Version: 0.29.15 ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ║ ║
chaiml-mistral32-sft-to-61184-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Downloaded to shared memory in 85.296s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Checking if ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3 already exists in ChaiML
chaiml-mistral32-sft-to-61184-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppnds7k52, device:0
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sft-to-61184-v2-mkmlizer: quantized model in 64.942s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Processed model ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseeksftv3 in 150.239s
chaiml-mistral32-sft-to-61184-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sft-to-61184-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/config.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/special_tokens_map.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/tokenizer_config.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/tokenizer.json
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-sft-to-61184-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sft-to-61184-v2/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-sft-to-61184-v2-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 4/363 [00:00<00:11, 30.41it/s] Loading 0: 2%|▏ | 8/363 [00:00<00:14, 24.49it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:13, 25.89it/s] Loading 0: 4%|▍ | 15/363 [00:00<00:17, 20.28it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:12, 26.59it/s] Loading 0: 7%|▋ | 24/363 [00:01<00:15, 22.02it/s] Loading 0: 8%|▊ | 30/363 [00:01<00:11, 29.65it/s] Loading 0: 9%|▉ | 34/363 [00:01<00:16, 19.77it/s] Loading 0: 10%|█ | 37/363 [00:01<00:18, 18.00it/s] Loading 0: 11%|█ | 40/363 [00:01<00:17, 18.81it/s] Loading 0: 12%|█▏ | 43/363 [00:02<00:16, 19.06it/s] Loading 0: 13%|█▎ | 46/363 [00:02<00:15, 20.41it/s] Loading 0: 13%|█▎ | 49/363 [00:02<00:14, 21.10it/s] Loading 0: 14%|█▍ | 52/363 [00:02<00:14, 20.87it/s] Loading 0: 15%|█▌ | 55/363 [00:02<00:13, 22.50it/s] Loading 0: 16%|█▌ | 58/363 [00:02<00:13, 23.20it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:13, 22.67it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:12, 23.39it/s] Loading 0: 19%|█▉ | 70/363 [00:03<00:14, 19.73it/s] Loading 0: 20%|██ | 73/363 [00:03<00:17, 16.92it/s] Loading 0: 21%|██▏ | 78/363 [00:03<00:12, 22.16it/s] Loading 0: 22%|██▏ | 81/363 [00:03<00:14, 19.01it/s] Loading 0: 23%|██▎ | 84/363 [00:03<00:13, 20.72it/s] Loading 0: 24%|██▍ | 87/363 [00:04<00:14, 18.54it/s] Loading 0: 25%|██▌ | 91/363 [00:04<00:12, 21.42it/s] Loading 0: 26%|██▌ | 94/363 [00:04<00:12, 21.09it/s] Loading 0: 27%|██▋ | 97/363 [00:04<00:11, 22.73it/s] Loading 0: 28%|██▊ | 100/363 [00:04<00:11, 22.83it/s] Loading 0: 28%|██▊ | 103/363 [00:04<00:11, 21.95it/s] Loading 0: 29%|██▉ | 106/363 [00:04<00:10, 23.48it/s] Loading 0: 30%|███ | 109/363 [00:05<00:14, 17.46it/s] Loading 0: 31%|███ | 112/363 [00:05<00:13, 19.02it/s] Loading 0: 32%|███▏ | 115/363 [00:05<00:12, 19.13it/s] Loading 0: 33%|███▎ | 118/363 [00:05<00:11, 21.07it/s] Loading 0: 33%|███▎ | 121/363 [00:05<00:11, 21.41it/s] Loading 0: 34%|███▍ | 124/363 [00:05<00:11, 20.85it/s] Loading 0: 35%|███▍ | 127/363 [00:05<00:10, 22.72it/s] Loading 0: 36%|███▌ | 130/363 [00:06<00:10, 22.50it/s] Loading 0: 37%|███▋ | 133/363 [00:06<00:11, 20.91it/s] Loading 0: 37%|███▋ | 136/363 [00:06<00:09, 22.93it/s] Loading 0: 38%|███▊ | 139/363 [00:06<00:09, 22.60it/s] Loading 0: 39%|███▉ | 142/363 [00:06<00:10, 21.60it/s] Loading 0: 40%|███▉ | 145/363 [00:06<00:09, 23.13it/s] Loading 0: 41%|████ | 149/363 [00:06<00:07, 26.85it/s] Loading 0: 42%|████▏ | 152/363 [00:07<00:12, 16.34it/s] Loading 0: 43%|████▎ | 155/363 [00:07<00:11, 17.35it/s] Loading 0: 44%|████▎ | 158/363 [00:07<00:14, 14.38it/s] Loading 0: 45%|████▍ | 163/363 [00:07<00:10, 19.39it/s] Loading 0: 46%|████▌ | 166/363 [00:07<00:09, 20.15it/s] Loading 0: 47%|████▋ | 169/363 [00:08<00:09, 19.88it/s] Loading 0: 47%|████▋ | 172/363 [00:08<00:09, 21.17it/s] Loading 0: 48%|████▊ | 175/363 [00:08<00:09, 20.86it/s] Loading 0: 49%|████▉ | 178/363 [00:08<00:09, 20.43it/s] Loading 0: 50%|████▉ | 181/363 [00:08<00:08, 21.84it/s] Loading 0: 51%|█████ | 186/363 [00:08<00:07, 23.61it/s] Loading 0: 52%|█████▏ | 189/363 [00:09<00:11, 14.62it/s] Loading 0: 53%|█████▎ | 193/363 [00:09<00:09, 17.50it/s] Loading 0: 54%|█████▍ | 196/363 [00:09<00:09, 18.12it/s] Loading 0: 55%|█████▍ | 199/363 [00:09<00:08, 19.81it/s] Loading 0: 55%|█████▌ | 200/363 [00:20<00:08, 19.81it/s] Loading 0: 55%|█████▌ | 201/363 [00:29<05:38, 2.09s/it] Loading 0: 56%|█████▌ | 203/363 [00:29<04:23, 1.65s/it] Loading 0: 57%|█████▋ | 208/363 [00:29<02:22, 1.09it/s] Loading 0: 58%|█████▊ | 211/363 [00:30<01:44, 1.46it/s] Loading 0: 59%|█████▉ | 214/363 [00:30<01:15, 1.97it/s] Loading 0: 60%|█████▉ | 217/363 [00:30<00:54, 2.69it/s] Loading 0: 61%|██████ | 220/363 [00:30<00:40, 3.49it/s] Loading 0: 61%|██████▏ | 223/363 [00:30<00:29, 4.70it/s] Loading 0: 62%|██████▏ | 226/363 [00:31<00:24, 5.55it/s] Loading 0: 63%|██████▎ | 229/363 [00:31<00:18, 7.15it/s] Loading 0: 64%|██████▎ | 231/363 [00:31<00:16, 7.87it/s] Loading 0: 65%|██████▍ | 235/363 [00:31<00:11, 11.17it/s] Loading 0: 66%|██████▌ | 238/363 [00:31<00:09, 12.94it/s] Loading 0: 66%|██████▋ | 241/363 [00:31<00:08, 13.71it/s] Loading 0: 67%|██████▋ | 244/363 [00:31<00:07, 16.11it/s] Loading 0: 68%|██████▊ | 247/363 [00:32<00:06, 17.42it/s] Loading 0: 69%|██████▉ | 250/363 [00:32<00:06, 17.94it/s] Loading 0: 70%|██████▉ | 253/363 [00:32<00:05, 20.25it/s] Loading 0: 71%|███████ | 256/363 [00:32<00:05, 20.36it/s] Loading 0: 71%|███████▏ | 259/363 [00:32<00:05, 19.83it/s] Loading 0: 72%|███████▏ | 262/363 [00:32<00:04, 21.66it/s] Loading 0: 73%|███████▎ | 266/363 [00:32<00:03, 25.06it/s] Loading 0: 74%|███████▍ | 269/363 [00:33<00:06, 15.52it/s] Loading 0: 75%|███████▍ | 272/363 [00:33<00:05, 16.54it/s] Loading 0: 76%|███████▌ | 275/363 [00:33<00:06, 14.01it/s] Loading 0: 77%|███████▋ | 280/363 [00:33<00:04, 19.06it/s] Loading 0: 78%|███████▊ | 283/363 [00:34<00:04, 19.46it/s] Loading 0: 79%|███████▉ | 286/363 [00:34<00:03, 19.31it/s] Loading 0: 80%|███████▉ | 289/363 [00:34<00:03, 21.22it/s] Loading 0: 80%|████████ | 292/363 [00:34<00:03, 21.05it/s] Loading 0: 81%|████████▏ | 295/363 [00:34<00:03, 20.13it/s] Loading 0: 82%|████████▏ | 298/363 [00:34<00:02, 21.71it/s] Loading 0: 83%|████████▎ | 303/363 [00:34<00:02, 23.78it/s] Loading 0: 84%|████████▍ | 306/363 [00:35<00:04, 14.10it/s] Loading 0: 85%|████████▌ | 310/363 [00:35<00:03, 17.00it/s] Loading 0: 86%|████████▌ | 313/363 [00:35<00:02, 16.98it/s] Loading 0: 87%|████████▋ | 316/363 [00:35<00:02, 18.84it/s] Loading 0: 88%|████████▊ | 319/363 [00:35<00:02, 19.94it/s] Loading 0: 89%|████████▊ | 322/363 [00:36<00:02, 20.03it/s] Loading 0: 90%|████████▉ | 325/363 [00:36<00:01, 21.88it/s] Loading 0: 90%|█████████ | 328/363 [00:36<00:01, 21.94it/s] Loading 0: 91%|█████████ | 331/363 [00:36<00:01, 21.01it/s] Loading 0: 92%|█████████▏| 334/363 [00:36<00:01, 22.44it/s] Loading 0: 93%|█████████▎| 337/363 [00:36<00:01, 18.04it/s] Loading 0: 94%|█████████▎| 340/363 [00:36<00:01, 20.03it/s] Loading 0: 94%|█████████▍| 343/363 [00:37<00:01, 11.21it/s] Loading 0: 96%|█████████▌| 347/363 [00:37<00:01, 14.60it/s] Loading 0: 96%|█████████▋| 350/363 [00:37<00:00, 15.59it/s] Loading 0: 97%|█████████▋| 353/363 [00:37<00:00, 17.79it/s] Loading 0: 98%|█████████▊| 356/363 [00:37<00:00, 19.41it/s] Loading 0: 99%|█████████▉| 359/363 [00:38<00:00, 19.33it/s] Loading 0: 100%|█████████▉| 362/363 [00:38<00:00, 20.90it/s]
Job chaiml-mistral32-sft-to-61184-v2-mkmlizer completed after 188.12s with status: succeeded
Stopping job with name chaiml-mistral32-sft-to-61184-v2-mkmlizer
Pipeline stage MKMLizer completed in 336.79s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-sft-to-61184-v2
Ignoring service chaiml-mistral32-sft-to-61184-v2 already deployed
Waiting for inference service chaiml-mistral32-sft-to-61184-v2 to be ready
Inference service chaiml-mistral32-sft-to-61184-v2 ready after 40.19867444038391s
Pipeline stage MKMLDeployer completed in 40.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6553995609283447s
Received healthy response to inference request in 2.3646817207336426s
Received healthy response to inference request in 2.043383836746216s
Received healthy response to inference request in 2.3317782878875732s
Received healthy response to inference request in 2.188002586364746s
5 requests
0 failed requests
5th percentile: 2.072307586669922
10th percentile: 2.101231336593628
20th percentile: 2.15907883644104
30th percentile: 2.2167577266693117
40th percentile: 2.2742680072784425
50th percentile: 2.3317782878875732
60th percentile: 2.344939661026001
70th percentile: 2.3581010341644286
80th percentile: 2.422825288772583
90th percentile: 2.539112424850464
95th percentile: 2.597255992889404
99th percentile: 2.643770847320557
mean time: 2.3166491985321045
Pipeline stage StressChecker completed in 13.31s
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 0.63s
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 0.68s
Shutdown handler de-registered
chaiml-mistral32-sft-to_61184_v2 status is now deployed due to DeploymentManager action
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 3474.75s
Shutdown handler de-registered
chaiml-mistral32-sft-to_61184_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-sft-to_61184_v2 status is now torndown due to DeploymentManager action