chaiml-mistralnemo-12b-_88791

developer_uid: NischayDnk

submission_id: chaiml-mistralnemo-12b-_88791_v2

model_name: chaiml-mistralnemo-12b-_88791_v2

model_group: ChaiML/mistralnemo-12b-s

status: torndown

timestamp: 2025-07-01T13:46:03+00:00

num_battles: 7197

num_wins: 3834

celo_rating: 1303.57

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/mistralnemo-12b-sfts1-exp1-deepseek-s3000-fullft-2048-lastmsgv2-2e

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.4770685536495909, 'latency_mean': 2.0960196971893312, 'latency_p50': 2.0957406759262085, 'latency_p90': 2.2959239006042482}, {'batch_size': 2, 'throughput': 0.6481625743978542, 'latency_mean': 3.0820633256435395, 'latency_p50': 3.093672513961792, 'latency_p90': 3.3271086692810057}, {'batch_size': 3, 'throughput': 0.7362909123750769, 'latency_mean': 4.067644855976105, 'latency_p50': 4.076582193374634, 'latency_p90': 4.443996715545654}, {'batch_size': 4, 'throughput': 0.784399437214559, 'latency_mean': 5.08434979557991, 'latency_p50': 5.115809679031372, 'latency_p90': 5.603455424308777}, {'batch_size': 5, 'throughput': 0.8436187337325657, 'latency_mean': 5.897770935297013, 'latency_p50': 5.876924395561218, 'latency_p90': 6.63123893737793}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistralnemo-12b-_88791_v2

is_internal_developer: False

language_model: ChaiML/mistralnemo-12b-sfts1-exp1-deepseek-s3000-fullft-2048-lastmsgv2-2e

model_size: 13B

ranking_group: single

throughput_3p7s: 0.71

us_pacific_date: 2025-07-01

win_ratio: 0.5327219674864527

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|system|>{bot_name}memory: {memory}\n', 'prompt_template': '<|system|>Family Friendly{prompt}\n', '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-mistralnemo-12b-88791-v2-mkmlizer
Waiting for job on chaiml-mistralnemo-12b-88791-v2-mkmlizer to finish
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-12b-88791-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistralnemo-12b-88791-v2-mkmlizer: Downloaded to shared memory in 48.268s
chaiml-mistralnemo-12b-88791-v2-mkmlizer: Checking if ChaiML/mistralnemo-12b-sfts1-exp1-deepseek-s3000-fullft-2048-lastmsgv2-2e already exists in ChaiML
chaiml-mistralnemo-12b-88791-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpueglhsaw, device:0
chaiml-mistralnemo-12b-88791-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistralnemo-12b-88791-v2-mkmlizer: quantized model in 31.686s
chaiml-mistralnemo-12b-88791-v2-mkmlizer: Processed model ChaiML/mistralnemo-12b-sfts1-exp1-deepseek-s3000-fullft-2048-lastmsgv2-2e in 79.955s
chaiml-mistralnemo-12b-88791-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistralnemo-12b-88791-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistralnemo-12b-88791-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2
chaiml-mistralnemo-12b-88791-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2/config.json
chaiml-mistralnemo-12b-88791-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2/special_tokens_map.json
chaiml-mistralnemo-12b-88791-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2/tokenizer_config.json
chaiml-mistralnemo-12b-88791-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2/tokenizer.json
chaiml-mistralnemo-12b-88791-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistralnemo-12b-88791-v2/flywheel_model.0.safetensors
chaiml-mistralnemo-12b-88791-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 29.77it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 46.24it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:07, 43.60it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:08, 42.43it/s]
Loading 0:   7%|▋         | 27/363 [00:00<00:07, 43.61it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:09, 34.30it/s]
Loading 0:  11%|█         | 39/363 [00:00<00:07, 42.30it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:07, 41.75it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:07, 41.75it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:07, 42.88it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:06, 43.89it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:12, 24.17it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:09, 31.39it/s]
Loading 0:  21%|██        | 76/363 [00:02<00:08, 32.96it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:08, 34.72it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:07, 36.79it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 31.60it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 38.12it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 37.37it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:06, 39.48it/s]
Loading 0:  31%|███       | 113/363 [00:03<00:07, 33.50it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:07, 33.93it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 40.17it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 39.70it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 39.64it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 40.40it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:08, 24.61it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:08, 25.47it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:06, 29.94it/s]
Loading 0:  44%|████▎     | 158/363 [00:04<00:07, 28.64it/s]
Loading 0:  45%|████▌     | 165/363 [00:04<00:05, 35.66it/s]
Loading 0:  47%|████▋     | 170/363 [00:04<00:05, 36.43it/s]
Loading 0:  48%|████▊     | 174/363 [00:04<00:05, 36.04it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 35.04it/s]
Loading 0:  50%|█████     | 183/363 [00:05<00:04, 37.17it/s]
Loading 0:  52%|█████▏    | 187/363 [00:05<00:04, 35.56it/s]
Loading 0:  53%|█████▎    | 192/363 [00:05<00:04, 37.06it/s]
Loading 0:  54%|█████▍    | 196/363 [00:05<00:04, 35.86it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 37.66it/s]
Loading 0:  56%|█████▋    | 205/363 [00:05<00:04, 36.32it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:04, 38.11it/s]
Loading 0:  59%|█████▉    | 214/363 [00:05<00:04, 36.73it/s]
Loading 0:  60%|██████    | 218/363 [00:06<00:04, 36.17it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:05, 26.72it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:04, 28.16it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 28.23it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 33.42it/s]
Loading 0:  66%|██████▋   | 241/363 [00:06<00:03, 33.61it/s]
Loading 0:  68%|██████▊   | 246/363 [00:07<00:03, 36.62it/s]
Loading 0:  69%|██████▉   | 250/363 [00:07<00:03, 35.66it/s]
Loading 0:  70%|███████   | 255/363 [00:07<00:02, 37.69it/s]
Loading 0:  71%|███████▏  | 259/363 [00:07<00:02, 36.06it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 38.42it/s]
Loading 0:  74%|███████▍  | 268/363 [00:07<00:02, 37.02it/s]
Loading 0:  75%|███████▌  | 273/363 [00:07<00:02, 38.98it/s]
Loading 0:  76%|███████▋  | 277/363 [00:07<00:02, 37.21it/s]
Loading 0:  78%|███████▊  | 282/363 [00:07<00:02, 39.20it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 37.22it/s]
Loading 0:  80%|████████  | 291/363 [00:08<00:01, 38.95it/s]
Loading 0:  81%|████████▏ | 295/363 [00:08<00:01, 37.25it/s]
Loading 0:  82%|████████▏ | 299/363 [00:08<00:01, 36.35it/s]
Loading 0:  84%|████████▎ | 304/363 [00:08<00:02, 20.30it/s]
Loading 0:  85%|████████▍ | 307/363 [00:09<00:02, 21.21it/s]
Loading 0:  86%|████████▌ | 312/363 [00:09<00:02, 23.55it/s]
Loading 0:  88%|████████▊ | 319/363 [00:09<00:01, 31.64it/s]
Loading 0:  89%|████████▉ | 323/363 [00:09<00:01, 31.97it/s]
Loading 0:  90%|█████████ | 328/363 [00:09<00:00, 35.59it/s]
Loading 0:  92%|█████████▏| 333/363 [00:09<00:00, 36.47it/s]
Loading 0:  93%|█████████▎| 338/363 [00:09<00:00, 37.97it/s]
Loading 0:  94%|█████████▍| 343/363 [00:09<00:00, 39.40it/s]
Loading 0:  96%|█████████▌| 348/363 [00:10<00:00, 32.82it/s]
Loading 0:  98%|█████████▊| 355/363 [00:10<00:00, 39.91it/s]
Loading 0:  99%|█████████▉| 360/363 [00:10<00:00, 39.41it/s]
                                                            
Job chaiml-mistralnemo-12b-88791-v2-mkmlizer completed after 104.81s with status: succeeded
Stopping job with name chaiml-mistralnemo-12b-88791-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.41s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistralnemo-12b-88791-v2
Waiting for inference service chaiml-mistralnemo-12b-88791-v2 to be ready
Inference service chaiml-mistralnemo-12b-88791-v2 ready after 211.99765849113464s
Pipeline stage MKMLDeployer completed in 212.77s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.626081705093384s
Received healthy response to inference request in 1.9034366607666016s
Received healthy response to inference request in 1.7555723190307617s
Received healthy response to inference request in 1.8050484657287598s
Received healthy response to inference request in 1.5828192234039307s
5 requests
0 failed requests
5th percentile: 1.6173698425292968
10th percentile: 1.651920461654663
20th percentile: 1.7210216999053956
30th percentile: 1.7654675483703612
40th percentile: 1.7852580070495605
50th percentile: 1.8050484657287598
60th percentile: 1.8444037437438965
70th percentile: 1.8837590217590332
80th percentile: 2.0479656696319584
90th percentile: 2.337023687362671
95th percentile: 2.481552696228027
99th percentile: 2.5971759033203123
mean time: 1.9345916748046874
Pipeline stage StressChecker completed in 11.19s
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 0.70s
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 0.74s
Shutdown handler de-registered
chaiml-mistralnemo-12b-_88791_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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistralnemo-12b-88791-v2-profiler
Waiting for inference service chaiml-mistralnemo-12b-88791-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
chaiml-mistralnemo-12b-_88791_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistralnemo-12b-_88791_v2 status is now torndown due to DeploymentManager action