developer_uid: rirv938
submission_id: chaiml-mistral32-sftexp1_2523_v6
model_name: chaiml-mistral32-sftexp1_2523_v6
model_group: ChaiML/mistral32-sftexp1
status: torndown
timestamp: 2025-07-07T23:57:15+00:00
num_battles: 5816
num_wins: 2926
celo_rating: 1290.93
family_friendly_score: 0.5386
family_friendly_standard_error: 0.007049965106296626
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: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.523862864003932, 'latency_mean': 1.9087703573703765, 'latency_p50': 1.9117109775543213, 'latency_p90': 2.1229611158370973}, {'batch_size': 3, 'throughput': 1.043894810307398, 'latency_mean': 2.864388552904129, 'latency_p50': 2.8731343746185303, 'latency_p90': 3.1863291025161744}, {'batch_size': 5, 'throughput': 1.3410709951318416, 'latency_mean': 3.704588224887848, 'latency_p50': 3.6972548961639404, 'latency_p90': 4.1025724649429325}, {'batch_size': 6, 'throughput': 1.4384192047625577, 'latency_mean': 4.146098492145538, 'latency_p50': 4.181686758995056, 'latency_p90': 4.596735000610352}, {'batch_size': 8, 'throughput': 1.5690560842669141, 'latency_mean': 5.064901720285416, 'latency_p50': 5.037721276283264, 'latency_p90': 5.7239080429077145}, {'batch_size': 10, 'throughput': 1.660266698198628, 'latency_mean': 5.976198426485062, 'latency_p50': 5.919466733932495, 'latency_p90': 6.718505764007569}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-sftexp1_2523_v6
is_internal_developer: True
language_model: ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750
model_size: 24B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-07-07
win_ratio: 0.5030949105914718
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': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', '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-v6-mkmlizer
Waiting for job on chaiml-mistral32-sftexp1-2523-v6-mkmlizer to finish
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ║                                                                     ║
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: Downloaded to shared memory in 60.429s
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: Checking if ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750 already exists in ChaiML
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx1eg59nu, device:0
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: quantized model in 49.203s
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: Processed model ChaiML/mistral32-sftexp1-s1-groksyn30jun-full-4e-top750 in 109.632s
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/config.json
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/special_tokens_map.json
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/tokenizer_config.json
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/tokenizer.json
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sftexp1-2523-v6/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-sftexp1-2523-v6-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:10, 33.93it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:12, 27.78it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 29.98it/s]
Loading 0:   4%|▍         | 16/363 [00:00<00:13, 26.02it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:11, 30.26it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:12, 26.80it/s]
Loading 0:   9%|▉         | 32/363 [00:01<00:10, 32.63it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:17, 18.78it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:15, 21.32it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:14, 21.51it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:12, 24.50it/s]
Loading 0:  14%|█▍        | 51/363 [00:02<00:14, 22.04it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:11, 26.96it/s]
Loading 0:  17%|█▋        | 60/363 [00:02<00:12, 24.32it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 27.32it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:12, 22.87it/s]
Loading 0:  20%|██        | 73/363 [00:03<00:14, 19.56it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:11, 24.63it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 24.07it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 25.97it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 25.93it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 19.55it/s]
Loading 0:  27%|██▋       | 99/363 [00:04<00:09, 26.42it/s]
Loading 0:  28%|██▊       | 102/363 [00:04<00:10, 23.79it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:11, 21.40it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:10, 24.24it/s]
Loading 0:  31%|███▏      | 114/363 [00:04<00:11, 22.07it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:09, 26.62it/s]
Loading 0:  34%|███▍      | 123/363 [00:05<00:10, 23.52it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:08, 28.08it/s]
Loading 0:  36%|███▋      | 132/363 [00:05<00:09, 25.32it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 29.16it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:08, 26.88it/s]
Loading 0:  41%|████      | 148/363 [00:05<00:06, 33.52it/s]
Loading 0:  42%|████▏     | 152/363 [00:06<00:09, 21.20it/s]
Loading 0:  43%|████▎     | 155/363 [00:06<00:09, 21.58it/s]
Loading 0:  44%|████▎     | 158/363 [00:06<00:10, 18.69it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 25.25it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:08, 23.02it/s]
Loading 0:  48%|████▊     | 174/363 [00:07<00:06, 27.39it/s]
Loading 0:  49%|████▉     | 178/363 [00:07<00:07, 25.95it/s]
Loading 0:  50%|█████     | 182/363 [00:07<00:06, 26.36it/s]
Loading 0:  52%|█████▏    | 187/363 [00:07<00:07, 23.37it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:08, 21.62it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:07, 22.49it/s]
Loading 0:  54%|█████▍    | 196/363 [00:08<00:07, 22.94it/s]
Loading 0:  55%|█████▌    | 200/363 [00:22<00:07, 22.94it/s]
Loading 0:  55%|█████▌    | 201/363 [00:22<03:05,  1.15s/it]
Loading 0:  56%|█████▌    | 203/363 [00:23<02:34,  1.04it/s]
Loading 0:  57%|█████▋    | 208/363 [00:23<01:32,  1.67it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:11,  2.13it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:53,  2.80it/s]
Loading 0:  60%|██████    | 218/363 [00:23<00:36,  4.01it/s]
Loading 0:  61%|██████    | 221/363 [00:23<00:27,  5.12it/s]
Loading 0:  62%|██████▏   | 224/363 [00:24<00:22,  6.08it/s]
Loading 0:  63%|██████▎   | 228/363 [00:24<00:15,  8.55it/s]
Loading 0:  64%|██████▎   | 231/363 [00:24<00:13,  9.87it/s]
Loading 0:  65%|██████▌   | 237/363 [00:24<00:08, 14.72it/s]
Loading 0:  66%|██████▌   | 240/363 [00:24<00:08, 15.31it/s]
Loading 0:  68%|██████▊   | 246/363 [00:24<00:05, 20.37it/s]
Loading 0:  69%|██████▊   | 249/363 [00:25<00:05, 19.43it/s]
Loading 0:  70%|███████   | 255/363 [00:25<00:04, 23.87it/s]
Loading 0:  71%|███████   | 258/363 [00:25<00:04, 22.25it/s]
Loading 0:  73%|███████▎  | 264/363 [00:25<00:03, 29.19it/s]
Loading 0:  74%|███████▍  | 268/363 [00:25<00:04, 22.52it/s]
Loading 0:  75%|███████▍  | 271/363 [00:25<00:04, 21.05it/s]
Loading 0:  75%|███████▌  | 274/363 [00:26<00:04, 22.22it/s]
Loading 0:  76%|███████▋  | 277/363 [00:26<00:03, 22.76it/s]
Loading 0:  78%|███████▊  | 282/363 [00:26<00:03, 25.94it/s]
Loading 0:  79%|███████▊  | 285/363 [00:26<00:03, 22.79it/s]
Loading 0:  80%|████████  | 291/363 [00:26<00:02, 27.88it/s]
Loading 0:  81%|████████  | 294/363 [00:26<00:02, 24.74it/s]
Loading 0:  82%|████████▏ | 299/363 [00:26<00:02, 27.60it/s]
Loading 0:  84%|████████▎ | 304/363 [00:27<00:02, 24.47it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 22.46it/s]
Loading 0:  85%|████████▌ | 310/363 [00:27<00:02, 23.37it/s]
Loading 0:  86%|████████▌ | 313/363 [00:27<00:02, 23.84it/s]
Loading 0:  88%|████████▊ | 318/363 [00:27<00:01, 27.08it/s]
Loading 0:  88%|████████▊ | 321/363 [00:27<00:01, 23.97it/s]
Loading 0:  90%|█████████ | 327/363 [00:28<00:01, 28.76it/s]
Loading 0:  91%|█████████ | 330/363 [00:28<00:01, 25.07it/s]
Loading 0:  92%|█████████▏| 335/363 [00:28<00:01, 27.62it/s]
Loading 0:  93%|█████████▎| 338/363 [00:28<00:00, 26.62it/s]
Loading 0:  94%|█████████▍| 341/363 [00:28<00:01, 15.67it/s]
Loading 0:  96%|█████████▌| 347/363 [00:29<00:00, 20.93it/s]
Loading 0:  96%|█████████▋| 350/363 [00:29<00:00, 21.51it/s]
Loading 0:  98%|█████████▊| 355/363 [00:29<00:00, 24.93it/s]
Loading 0:  99%|█████████▊| 358/363 [00:29<00:00, 22.94it/s]
                                                            

Job chaiml-mistral32-sftexp1-2523-v6-mkmlizer completed after 136.67s with status: succeeded
Stopping job with name chaiml-mistral32-sftexp1-2523-v6-mkmlizer
Pipeline stage MKMLizer completed in 137.29s
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-sftexp1-2523-v6
Waiting for inference service chaiml-mistral32-sftexp1-2523-v6 to be ready
Inference service chaiml-mistral32-sftexp1-2523-v6 ready after 181.27481365203857s
Pipeline stage MKMLDeployer completed in 181.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.289051055908203s
Received healthy response to inference request in 1.8633382320404053s
Received healthy response to inference request in 2.015813112258911s
Received healthy response to inference request in 1.872873306274414s
Received healthy response to inference request in 1.878100872039795s
5 requests
0 failed requests
5th percentile: 1.865245246887207
10th percentile: 1.8671522617340088
20th percentile: 1.8709662914276124
30th percentile: 1.8739188194274903
40th percentile: 1.8760098457336425
50th percentile: 1.878100872039795
60th percentile: 1.9331857681274414
70th percentile: 1.9882706642150878
80th percentile: 2.0704607009887694
90th percentile: 2.1797558784484865
95th percentile: 2.234403467178345
99th percentile: 2.2781215381622313
mean time: 1.9838353157043458
Pipeline stage StressChecker completed in 11.13s
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 0.61s
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 0.62s
Shutdown handler de-registered
chaiml-mistral32-sftexp1_2523_v6 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 chaiml-mistral32-sftexp1-2523-v6-profiler
Waiting for inference service chaiml-mistral32-sftexp1-2523-v6-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4160.16s
Shutdown handler de-registered
chaiml-mistral32-sftexp1_2523_v6 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-sftexp1_2523_v6 status is now torndown due to DeploymentManager action