developer_uid: NischayDnk
submission_id: chaiml-mistral32-nis-de_15507_v2
model_name: chaiml-mistral32-nis-de_15507_v2
model_group: ChaiML/mistral32-nis-dee
status: torndown
timestamp: 2025-07-08T07:56:02+00:00
num_battles: 8947
num_wins: 4669
celo_rating: 1307.84
family_friendly_score: 0.4952
family_friendly_standard_error: 0.007070741969553125
submission_type: basic
model_repo: ChaiML/mistral32-nis-deepseek-dedup-cpos3-cpos2ft-sftexp2-1306-v4-pubpref
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': 0.525054807433216, 'latency_mean': 1.9044429206848144, 'latency_p50': 1.8978848457336426, 'latency_p90': 2.12069456577301}, {'batch_size': 3, 'throughput': 1.0584793497848537, 'latency_mean': 2.825689196586609, 'latency_p50': 2.8208155632019043, 'latency_p90': 3.124819254875183}, {'batch_size': 5, 'throughput': 1.3501613065883147, 'latency_mean': 3.688498855829239, 'latency_p50': 3.6789780855178833, 'latency_p90': 4.17886483669281}, {'batch_size': 6, 'throughput': 1.4369152718937148, 'latency_mean': 4.14862982749939, 'latency_p50': 4.143029689788818, 'latency_p90': 4.650060868263244}, {'batch_size': 8, 'throughput': 1.5778183426931012, 'latency_mean': 5.031848468780518, 'latency_p50': 5.057138800621033, 'latency_p90': 5.64122998714447}, {'batch_size': 10, 'throughput': 1.660104524305147, 'latency_mean': 5.976415688991547, 'latency_p50': 5.963356852531433, 'latency_p90': 6.711026859283447}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-nis-de_15507_v2
is_internal_developer: False
language_model: ChaiML/mistral32-nis-deepseek-dedup-cpos3-cpos2ft-sftexp2-1306-v4-pubpref
model_size: 24B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-08
win_ratio: 0.5218508997429306
generation_params: {'temperature': 0.65, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.42, 'frequency_penalty': 0.42, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-mistral32-nis-de-15507-v2-mkmlizer
Waiting for job on chaiml-mistral32-nis-de-15507-v2-mkmlizer to finish
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral32-nis-de-15507-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-dimitry-ivanov-r_37781_v1: HTTPConnectionPool(host='chaiml-dimitry-ivanov-r-37781-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
chaiml-mistral32-nis-de-15507-v2-mkmlizer: Downloaded to shared memory in 57.394s
chaiml-mistral32-nis-de-15507-v2-mkmlizer: Checking if ChaiML/mistral32-nis-deepseek-dedup-cpos3-cpos2ft-sftexp2-1306-v4-pubpref already exists in ChaiML
chaiml-mistral32-nis-de-15507-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzv_kfamc, device:0
chaiml-mistral32-nis-de-15507-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-nis-de-15507-v2-mkmlizer: quantized model in 48.543s
chaiml-mistral32-nis-de-15507-v2-mkmlizer: Processed model ChaiML/mistral32-nis-deepseek-dedup-cpos3-cpos2ft-sftexp2-1306-v4-pubpref in 105.938s
chaiml-mistral32-nis-de-15507-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-nis-de-15507-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-nis-de-15507-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia
chaiml-mistral32-nis-de-15507-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia/special_tokens_map.json
chaiml-mistral32-nis-de-15507-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia/tokenizer_config.json
chaiml-mistral32-nis-de-15507-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia/tokenizer.json
chaiml-mistral32-nis-de-15507-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-nis-de-15507-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-nis-de-15507-v2/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-nis-de-15507-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:10, 34.66it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:12, 27.92it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 29.65it/s]
Loading 0:   4%|▍         | 16/363 [00:00<00:13, 26.08it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:11, 30.26it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:12, 27.65it/s]
Loading 0:   9%|▉         | 32/363 [00:01<00:09, 33.89it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:17, 18.83it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:15, 21.40it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:14, 22.05it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:12, 25.70it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:12, 25.01it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:10, 28.45it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 27.25it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 27.71it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:12, 23.79it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:14, 20.17it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:11, 25.64it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 25.34it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 26.52it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 26.21it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 19.95it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:10, 25.23it/s]
Loading 0:  28%|██▊       | 100/363 [00:03<00:10, 25.32it/s]
Loading 0:  28%|██▊       | 103/363 [00:04<00:10, 24.89it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:12, 19.92it/s]
Loading 0:  31%|███       | 111/363 [00:04<00:10, 23.34it/s]
Loading 0:  31%|███▏      | 114/363 [00:04<00:11, 21.40it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:09, 26.80it/s]
Loading 0:  34%|███▍      | 123/363 [00:04<00:10, 23.79it/s]
Loading 0:  36%|███▌      | 129/363 [00:05<00:08, 28.47it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 26.14it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 28.30it/s]
Loading 0:  39%|███▉      | 141/363 [00:05<00:08, 25.01it/s]
Loading 0:  40%|████      | 147/363 [00:05<00:06, 31.94it/s]
Loading 0:  42%|████▏     | 151/363 [00:06<00:09, 22.89it/s]
Loading 0:  42%|████▏     | 154/363 [00:06<00:09, 21.30it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:09, 22.38it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:08, 22.67it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 25.56it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:08, 22.96it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:06, 27.56it/s]
Loading 0:  49%|████▉     | 177/363 [00:07<00:07, 24.68it/s]
Loading 0:  50%|█████     | 182/363 [00:07<00:06, 27.48it/s]
Loading 0:  52%|█████▏    | 187/363 [00:07<00:07, 23.35it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:08, 21.31it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:07, 22.11it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:07, 22.91it/s]
Loading 0:  55%|█████▌    | 200/363 [00:22<00:07, 22.91it/s]
Loading 0:  55%|█████▌    | 201/363 [00:22<03:02,  1.13s/it]
Loading 0:  56%|█████▌    | 203/363 [00:22<02:31,  1.06it/s]
Loading 0:  57%|█████▋    | 208/363 [00:22<01:30,  1.70it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:09,  2.17it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:52,  2.86it/s]
Loading 0:  60%|██████    | 218/363 [00:23<00:35,  4.08it/s]
Loading 0:  61%|██████    | 221/363 [00:23<00:27,  5.20it/s]
Loading 0:  62%|██████▏   | 224/363 [00:23<00:22,  6.15it/s]
Loading 0:  63%|██████▎   | 228/363 [00:23<00:15,  8.64it/s]
Loading 0:  64%|██████▎   | 231/363 [00:23<00:13,  9.98it/s]
Loading 0:  65%|██████▌   | 237/363 [00:24<00:08, 14.92it/s]
Loading 0:  66%|██████▌   | 240/363 [00:24<00:07, 15.69it/s]
Loading 0:  68%|██████▊   | 246/363 [00:24<00:05, 20.85it/s]
Loading 0:  69%|██████▉   | 250/363 [00:24<00:05, 21.06it/s]
Loading 0:  70%|███████   | 255/363 [00:24<00:04, 24.01it/s]
Loading 0:  71%|███████   | 258/363 [00:24<00:04, 22.08it/s]
Loading 0:  73%|███████▎  | 264/363 [00:25<00:03, 28.87it/s]
Loading 0:  74%|███████▍  | 268/363 [00:25<00:04, 21.76it/s]
Loading 0:  75%|███████▍  | 271/363 [00:25<00:04, 20.51it/s]
Loading 0:  75%|███████▌  | 274/363 [00:25<00:04, 21.58it/s]
Loading 0:  76%|███████▋  | 277/363 [00:25<00:03, 22.03it/s]
Loading 0:  78%|███████▊  | 282/363 [00:25<00:03, 24.82it/s]
Loading 0:  79%|███████▊  | 285/363 [00:26<00:03, 22.48it/s]
Loading 0:  80%|███████▉  | 289/363 [00:26<00:02, 25.89it/s]
Loading 0:  80%|████████  | 292/363 [00:26<00:02, 26.02it/s]
Loading 0:  81%|████████▏ | 295/363 [00:26<00:02, 25.28it/s]
Loading 0:  82%|████████▏ | 299/363 [00:26<00:02, 25.86it/s]
Loading 0:  84%|████████▎ | 304/363 [00:26<00:02, 22.98it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 21.26it/s]
Loading 0:  85%|████████▌ | 310/363 [00:27<00:02, 22.40it/s]
Loading 0:  86%|████████▌ | 313/363 [00:27<00:02, 23.32it/s]
Loading 0:  88%|████████▊ | 318/363 [00:27<00:01, 27.00it/s]
Loading 0:  88%|████████▊ | 321/363 [00:27<00:01, 24.18it/s]
Loading 0:  90%|█████████ | 327/363 [00:27<00:01, 29.15it/s]
Loading 0:  91%|█████████ | 330/363 [00:27<00:01, 25.91it/s]
Loading 0:  92%|█████████▏| 335/363 [00:27<00:00, 28.40it/s]
Loading 0:  93%|█████████▎| 338/363 [00:28<00:00, 26.91it/s]
Loading 0:  94%|█████████▍| 341/363 [00:28<00:01, 15.68it/s]
Loading 0:  96%|█████████▌| 347/363 [00:28<00:00, 21.02it/s]
Loading 0:  96%|█████████▋| 350/363 [00:28<00:00, 21.59it/s]
Loading 0:  98%|█████████▊| 355/363 [00:28<00:00, 25.14it/s]
Loading 0:  99%|█████████▊| 358/363 [00:29<00:00, 23.45it/s]
                                                            

Job chaiml-mistral32-nis-de-15507-v2-mkmlizer completed after 137.48s with status: succeeded
Stopping job with name chaiml-mistral32-nis-de-15507-v2-mkmlizer
Pipeline stage MKMLizer completed in 138.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.42s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-nis-de-15507-v2
Waiting for inference service chaiml-mistral32-nis-de-15507-v2 to be ready
Inference service chaiml-mistral32-nis-de-15507-v2 ready after 190.88664436340332s
Pipeline stage MKMLDeployer completed in 191.40s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.426931381225586s
Received healthy response to inference request in 1.910283088684082s
Received healthy response to inference request in 2.30924391746521s
Received healthy response to inference request in 1.9905736446380615s
5 requests
1 failed requests
5th percentile: 1.9263411998748778
10th percentile: 1.9423993110656739
20th percentile: 1.9745155334472657
30th percentile: 2.054307699203491
40th percentile: 2.1817758083343506
50th percentile: 2.30924391746521
60th percentile: 2.3563189029693605
70th percentile: 2.4033938884735107
80th percentile: 5.9781933784484895
90th percentile: 13.080717372894288
95th percentile: 16.631979370117186
99th percentile: 19.472988967895507
mean time: 5.764054679870606
%s, retrying in %s seconds...
Received healthy response to inference request in 2.0384621620178223s
Received healthy response to inference request in 2.235560178756714s
Received healthy response to inference request in 2.100828170776367s
Received healthy response to inference request in 1.9742896556854248s
Received healthy response to inference request in 1.8328063488006592s
5 requests
0 failed requests
5th percentile: 1.8611030101776123
10th percentile: 1.8893996715545653
20th percentile: 1.9459929943084717
30th percentile: 1.9871241569519043
40th percentile: 2.0127931594848634
50th percentile: 2.0384621620178223
60th percentile: 2.0634085655212404
70th percentile: 2.088354969024658
80th percentile: 2.1277745723724366
90th percentile: 2.181667375564575
95th percentile: 2.2086137771606444
99th percentile: 2.2301708984375
mean time: 2.0363893032073976
Pipeline stage StressChecker completed in 41.97s
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 0.75s
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 0.71s
Shutdown handler de-registered
chaiml-mistral32-nis-de_15507_v2 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 0.14s
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-nis-de-15507-v2-profiler
Waiting for inference service chaiml-mistral32-nis-de-15507-v2-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 3284.14s
Shutdown handler de-registered
chaiml-mistral32-nis-de_15507_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-nis-de_15507_v2 status is now torndown due to DeploymentManager action