developer_uid: rirv938
submission_id: chaiml-mistral32-sftexp1_2523_v5
model_name: chaiml-mistral32-sftexp1_2523_v5
model_group: ChaiML/mistral32-sftexp1
status: torndown
timestamp: 2025-07-07T18:21:17+00:00
num_battles: 9005
num_wins: 4555
celo_rating: 1294.12
family_friendly_score: 0.5442
family_friendly_standard_error: 0.00704338498166897
submission_type: basic
model_repo: ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1536
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4768671972230886, 'latency_mean': 2.096924567222595, 'latency_p50': 2.097131133079529, 'latency_p90': 2.305508542060852}, {'batch_size': 3, 'throughput': 0.9192154326356079, 'latency_mean': 3.24636598944664, 'latency_p50': 3.2417163848876953, 'latency_p90': 3.565721797943115}, {'batch_size': 5, 'throughput': 1.1311577830214254, 'latency_mean': 4.402218683958053, 'latency_p50': 4.422962307929993, 'latency_p90': 4.88672022819519}, {'batch_size': 6, 'throughput': 1.2091177922435934, 'latency_mean': 4.936093509197235, 'latency_p50': 4.919918060302734, 'latency_p90': 5.629161405563354}, {'batch_size': 8, 'throughput': 1.2820698436217868, 'latency_mean': 6.167063419818878, 'latency_p50': 6.168179512023926, 'latency_p90': 6.9096273422241214}, {'batch_size': 10, 'throughput': 1.3519266024362953, 'latency_mean': 7.347630095481873, 'latency_p50': 7.356662750244141, 'latency_p90': 8.274569416046143}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-sftexp1_2523_v5
is_internal_developer: True
language_model: ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750
model_size: 24B
ranking_group: single
throughput_3p7s: 1.02
us_pacific_date: 2025-07-07
win_ratio: 0.5058300943920044
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['You:', '\n', '###', '</s>'], 'max_input_tokens': 1536, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>{bot_name}memory:{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': 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 chaiml-mistral32-sftexp1-2523-v5-mkmlizer
Waiting for job on chaiml-mistral32-sftexp1-2523-v5-mkmlizer to finish
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: Downloaded to shared memory in 57.055s
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: Checking if ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750 already exists in ChaiML
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzjm1w_9t, device:0
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: quantized model in 49.244s
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: Processed model ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750 in 106.299s
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/config.json
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/special_tokens_map.json
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/tokenizer_config.json
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/tokenizer.json
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v5/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-sftexp1-2523-v5-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:09, 37.62it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:12, 28.65it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 30.73it/s]
Loading 0:   4%|▍         | 16/363 [00:00<00:13, 26.68it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:11, 30.28it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:12, 27.23it/s]
Loading 0:   8%|▊         | 30/363 [00:00<00:10, 32.37it/s]
Loading 0:   9%|▉         | 34/363 [00:01<00:15, 21.87it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:15, 20.64it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:14, 21.96it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:14, 22.29it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:13, 23.94it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:12, 25.26it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:13, 23.81it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:11, 26.86it/s]
Loading 0:  17%|█▋        | 60/363 [00:02<00:12, 23.63it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:11, 26.36it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:13, 21.13it/s]
Loading 0:  20%|██        | 73/363 [00:03<00:15, 18.66it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:11, 23.68it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:12, 22.83it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:11, 23.71it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:11, 23.74it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:14, 19.06it/s]
Loading 0:  27%|██▋       | 97/363 [00:04<00:10, 24.54it/s]
Loading 0:  28%|██▊       | 100/363 [00:04<00:10, 25.09it/s]
Loading 0:  28%|██▊       | 103/363 [00:04<00:10, 24.10it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:13, 19.59it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:10, 23.17it/s]
Loading 0:  31%|███▏      | 114/363 [00:04<00:11, 21.22it/s]
Loading 0:  33%|███▎      | 118/363 [00:04<00:10, 24.04it/s]
Loading 0:  33%|███▎      | 121/363 [00:05<00:09, 24.52it/s]
Loading 0:  34%|███▍      | 124/363 [00:05<00:09, 24.23it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:08, 27.09it/s]
Loading 0:  36%|███▋      | 132/363 [00:05<00:09, 23.67it/s]
Loading 0:  37%|███▋      | 136/363 [00:05<00:08, 26.77it/s]
Loading 0:  38%|███▊      | 139/363 [00:05<00:08, 26.80it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 25.76it/s]
Loading 0:  40%|████      | 146/363 [00:05<00:07, 29.05it/s]
Loading 0:  41%|████▏     | 150/363 [00:06<00:09, 21.89it/s]
Loading 0:  42%|████▏     | 153/363 [00:06<00:11, 18.89it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:09, 22.26it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:08, 22.75it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 25.41it/s]
Loading 0:  46%|████▋     | 168/363 [00:07<00:08, 22.95it/s]
Loading 0:  48%|████▊     | 174/363 [00:07<00:06, 27.52it/s]
Loading 0:  49%|████▉     | 177/363 [00:07<00:07, 24.28it/s]
Loading 0:  50%|████▉     | 181/363 [00:07<00:06, 27.27it/s]
Loading 0:  51%|█████     | 186/363 [00:07<00:06, 29.18it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:08, 20.01it/s]
Loading 0:  53%|█████▎    | 193/363 [00:08<00:07, 21.38it/s]
Loading 0:  54%|█████▍    | 196/363 [00:08<00:07, 21.92it/s]
Loading 0:  55%|█████▌    | 200/363 [00:22<00:07, 21.92it/s]
Loading 0:  55%|█████▌    | 201/363 [00:22<03:02,  1.13s/it]
Loading 0:  56%|█████▌    | 203/363 [00:23<02:31,  1.06it/s]
Loading 0:  57%|█████▋    | 208/363 [00:23<01:31,  1.70it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:10,  2.16it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:52,  2.84it/s]
Loading 0:  60%|██████    | 218/363 [00:23<00:35,  4.05it/s]
Loading 0:  61%|██████    | 221/363 [00:23<00:27,  5.17it/s]
Loading 0:  62%|██████▏   | 224/363 [00:24<00:22,  6.13it/s]
Loading 0:  63%|██████▎   | 229/363 [00:24<00:14,  9.05it/s]
Loading 0:  64%|██████▍   | 232/363 [00:24<00:12, 10.76it/s]
Loading 0:  65%|██████▌   | 237/363 [00:24<00:08, 14.49it/s]
Loading 0:  66%|██████▌   | 240/363 [00:24<00:08, 15.22it/s]
Loading 0:  68%|██████▊   | 246/363 [00:24<00:05, 20.13it/s]
Loading 0:  69%|██████▊   | 249/363 [00:24<00:05, 19.41it/s]
Loading 0:  70%|███████   | 255/363 [00:25<00:04, 24.37it/s]
Loading 0:  71%|███████   | 258/363 [00:25<00:04, 22.78it/s]
Loading 0:  73%|███████▎  | 264/363 [00:25<00:03, 29.50it/s]
Loading 0:  74%|███████▍  | 268/363 [00:25<00:04, 22.36it/s]
Loading 0:  75%|███████▍  | 271/363 [00:25<00:04, 21.37it/s]
Loading 0:  75%|███████▌  | 274/363 [00:25<00:03, 22.59it/s]
Loading 0:  76%|███████▋  | 277/363 [00:26<00:03, 22.61it/s]
Loading 0:  78%|███████▊  | 282/363 [00:26<00:03, 25.58it/s]
Loading 0:  79%|███████▊  | 285/363 [00:26<00:03, 23.34it/s]
Loading 0:  80%|████████  | 291/363 [00:26<00:02, 27.95it/s]
Loading 0:  81%|████████  | 294/363 [00:26<00:02, 24.93it/s]
Loading 0:  82%|████████▏ | 299/363 [00:26<00:02, 27.31it/s]
Loading 0:  84%|████████▎ | 304/363 [00:27<00:02, 23.69it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 21.61it/s]
Loading 0:  85%|████████▌ | 310/363 [00:27<00:02, 22.20it/s]
Loading 0:  86%|████████▌ | 313/363 [00:27<00:02, 21.71it/s]
Loading 0:  88%|████████▊ | 318/363 [00:27<00:01, 24.58it/s]
Loading 0:  88%|████████▊ | 321/363 [00:27<00:01, 22.01it/s]
Loading 0:  90%|████████▉ | 326/363 [00:28<00:01, 27.72it/s]
Loading 0:  91%|█████████ | 330/363 [00:28<00:01, 23.19it/s]
Loading 0:  92%|█████████▏| 335/363 [00:28<00:01, 25.42it/s]
Loading 0:  93%|█████████▎| 338/363 [00:28<00:01, 24.29it/s]
Loading 0:  94%|█████████▍| 341/363 [00:29<00:01, 13.59it/s]
Loading 0:  95%|█████████▌| 346/363 [00:29<00:00, 18.56it/s]
Loading 0:  96%|█████████▌| 349/363 [00:29<00:00, 18.46it/s]
Loading 0:  97%|█████████▋| 353/363 [00:29<00:00, 22.06it/s]
Loading 0:  98%|█████████▊| 357/363 [00:29<00:00, 21.10it/s]
                                                            

Job chaiml-mistral32-sftexp1-2523-v5-mkmlizer completed after 136.48s with status: succeeded
Stopping job with name chaiml-mistral32-sftexp1-2523-v5-mkmlizer
Pipeline stage MKMLizer completed in 137.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-sftexp1-2523-v5
Waiting for inference service chaiml-mistral32-sftexp1-2523-v5 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service chaiml-mistral32-sftexp1-2523-v5 ready after 251.77111148834229s
Pipeline stage MKMLDeployer completed in 252.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.273932695388794s
Received healthy response to inference request in 1.9386193752288818s
Received healthy response to inference request in 2.03969407081604s
Received healthy response to inference request in 1.8771767616271973s
Received healthy response to inference request in 1.5278749465942383s
5 requests
0 failed requests
5th percentile: 1.59773530960083
10th percentile: 1.667595672607422
20th percentile: 1.8073163986206056
30th percentile: 1.8894652843475341
40th percentile: 1.914042329788208
50th percentile: 1.9386193752288818
60th percentile: 1.9790492534637452
70th percentile: 2.0194791316986085
80th percentile: 2.0865417957305907
90th percentile: 2.1802372455596926
95th percentile: 2.2270849704742433
99th percentile: 2.2645631504058836
mean time: 1.9314595699310302
Pipeline stage StressChecker completed in 11.45s
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 1.06s
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 0.83s
Shutdown handler de-registered
chaiml-mistral32-sftexp1_2523_v5 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5458.27s
Shutdown handler de-registered
chaiml-mistral32-sftexp1_2523_v5 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-sftexp1_2523_v5 status is now torndown due to DeploymentManager action