developer_uid: NischayDnk
submission_id: chaiml-mistral32-deepse_89261_v1
model_name: chaiml-mistral32-deepse_89261_v1
model_group: ChaiML/mistral32_deepsee
status: torndown
timestamp: 2025-07-09T06:31:04+00:00
num_battles: 5562
num_wins: 3005
celo_rating: 1320.81
family_friendly_score: 0.5038
family_friendly_standard_error: 0.007070863596478156
submission_type: basic
model_repo: ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6
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': 0.5282156498059141, 'latency_mean': 1.8930541968345642, 'latency_p50': 1.879266381263733, 'latency_p90': 2.1156286001205444}, {'batch_size': 3, 'throughput': 1.053068305144281, 'latency_mean': 2.834216903448105, 'latency_p50': 2.8273104429244995, 'latency_p90': 3.1332111835479735}, {'batch_size': 5, 'throughput': 1.3440010550252421, 'latency_mean': 3.686916251182556, 'latency_p50': 3.6741734743118286, 'latency_p90': 4.100962519645691}, {'batch_size': 6, 'throughput': 1.444487483385659, 'latency_mean': 4.118600565195083, 'latency_p50': 4.144345045089722, 'latency_p90': 4.614041948318482}, {'batch_size': 8, 'throughput': 1.5907704680038233, 'latency_mean': 4.993139009475708, 'latency_p50': 4.953648090362549, 'latency_p90': 5.583738541603088}, {'batch_size': 10, 'throughput': 1.6631929839248545, 'latency_mean': 5.957595497369766, 'latency_p50': 5.9807822704315186, 'latency_p90': 6.6422665357589725}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-deepse_89261_v1
is_internal_developer: False
language_model: ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6
model_size: 24B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-08
win_ratio: 0.5402732829917296
generation_params: {'temperature': 0.7, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_start|>', '###', '<|im_end|>', '</s>'], '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-deepse-89261-v1-mkmlizer
Waiting for job on chaiml-mistral32-deepse-89261-v1-mkmlizer to finish
chaiml-mistral32-deepse-89261-v1-mkmlizer: Downloaded to shared memory in 76.909s
chaiml-mistral32-deepse-89261-v1-mkmlizer: Checking if ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 already exists in ChaiML
chaiml-mistral32-deepse-89261-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu1q8lfk_, device:0
chaiml-mistral32-deepse-89261-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-deepse-89261-v1-mkmlizer: quantized model in 47.452s
chaiml-mistral32-deepse-89261-v1-mkmlizer: Processed model ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 in 124.362s
chaiml-mistral32-deepse-89261-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-deepse-89261-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-deepse-89261-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/config.json
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/special_tokens_map.json
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/tokenizer_config.json
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/tokenizer.json
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-deepse-89261-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistral32-deepse-89261-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/363 [00:06<18:37,  3.10s/it]
Loading 0:   2%|▏         | 6/363 [00:06<05:02,  1.18it/s]
Loading 0:   4%|▎         | 13/363 [00:06<01:48,  3.24it/s]
Loading 0:   5%|▍         | 17/363 [00:06<01:14,  4.64it/s]
Loading 0:   6%|▌         | 22/363 [00:07<00:53,  6.37it/s]
Loading 0:   7%|▋         | 25/363 [00:07<00:44,  7.59it/s]
Loading 0:   9%|▊         | 31/363 [00:07<00:28, 11.63it/s]
Loading 0:  10%|▉         | 35/363 [00:07<00:24, 13.63it/s]
Loading 0:  11%|█         | 40/363 [00:07<00:18, 17.38it/s]
Loading 0:  12%|█▏        | 44/363 [00:07<00:16, 18.88it/s]
Loading 0:  13%|█▎        | 49/363 [00:07<00:14, 22.31it/s]
Loading 0:  15%|█▍        | 53/363 [00:08<00:13, 22.89it/s]
Loading 0:  16%|█▌        | 58/363 [00:08<00:11, 26.24it/s]
Loading 0:  17%|█▋        | 62/363 [00:08<00:15, 19.19it/s]
Loading 0:  18%|█▊        | 67/363 [00:08<00:12, 22.84it/s]
Loading 0:  19%|█▉        | 70/363 [00:08<00:13, 21.94it/s]
Loading 0:  21%|██        | 76/363 [00:09<00:10, 26.35it/s]
Loading 0:  22%|██▏       | 79/363 [00:09<00:11, 24.38it/s]
Loading 0:  23%|██▎       | 85/363 [00:09<00:09, 29.32it/s]
Loading 0:  25%|██▍       | 89/363 [00:09<00:09, 27.68it/s]
Loading 0:  26%|██▌       | 94/363 [00:09<00:09, 29.40it/s]
Loading 0:  27%|██▋       | 98/363 [00:09<00:12, 20.75it/s]
Loading 0:  28%|██▊       | 103/363 [00:10<00:10, 23.91it/s]
Loading 0:  29%|██▉       | 106/363 [00:10<00:11, 22.64it/s]
Loading 0:  31%|███       | 112/363 [00:10<00:09, 27.66it/s]
Loading 0:  32%|███▏      | 116/363 [00:10<00:09, 25.83it/s]
Loading 0:  33%|███▎      | 121/363 [00:10<00:08, 28.67it/s]
Loading 0:  34%|███▍      | 125/363 [00:10<00:08, 27.57it/s]
Loading 0:  36%|███▌      | 130/363 [00:11<00:07, 29.79it/s]
Loading 0:  37%|███▋      | 134/363 [00:11<00:08, 28.09it/s]
Loading 0:  38%|███▊      | 139/363 [00:11<00:09, 22.72it/s]
Loading 0:  39%|███▉      | 142/363 [00:11<00:10, 21.56it/s]
Loading 0:  41%|████      | 148/363 [00:11<00:08, 26.62it/s]
Loading 0:  42%|████▏     | 151/363 [00:11<00:08, 24.26it/s]
Loading 0:  43%|████▎     | 157/363 [00:12<00:07, 28.74it/s]
Loading 0:  44%|████▍     | 161/363 [00:12<00:07, 27.08it/s]
Loading 0:  46%|████▌     | 166/363 [00:12<00:06, 29.40it/s]
Loading 0:  47%|████▋     | 170/363 [00:12<00:06, 27.61it/s]
Loading 0:  48%|████▊     | 175/363 [00:12<00:06, 29.73it/s]
Loading 0:  49%|████▉     | 179/363 [00:13<00:08, 20.75it/s]
Loading 0:  51%|█████     | 184/363 [00:13<00:07, 23.78it/s]
Loading 0:  51%|█████     | 185/363 [00:27<00:07, 23.78it/s]
Loading 0:  51%|█████     | 186/363 [00:27<03:27,  1.17s/it]
Loading 0:  53%|█████▎    | 191/363 [00:27<02:10,  1.31it/s]
Loading 0:  54%|█████▎    | 195/363 [00:28<01:34,  1.77it/s]
Loading 0:  56%|█████▌    | 202/363 [00:28<00:53,  2.99it/s]
Loading 0:  57%|█████▋    | 206/363 [00:28<00:40,  3.86it/s]
Loading 0:  58%|█████▊    | 211/363 [00:28<00:28,  5.36it/s]
Loading 0:  59%|█████▉    | 215/363 [00:28<00:23,  6.25it/s]
Loading 0:  61%|██████    | 220/363 [00:29<00:16,  8.49it/s]
Loading 0:  61%|██████▏   | 223/363 [00:29<00:14,  9.68it/s]
Loading 0:  63%|██████▎   | 229/363 [00:29<00:09, 13.76it/s]
Loading 0:  64%|██████▍   | 233/363 [00:29<00:08, 15.50it/s]
Loading 0:  66%|██████▌   | 238/363 [00:29<00:06, 19.10it/s]
Loading 0:  67%|██████▋   | 242/363 [00:29<00:05, 20.26it/s]
Loading 0:  68%|██████▊   | 247/363 [00:30<00:04, 23.49it/s]
Loading 0:  69%|██████▉   | 251/363 [00:30<00:04, 23.73it/s]
Loading 0:  71%|███████   | 256/363 [00:30<00:05, 20.65it/s]
Loading 0:  71%|███████▏  | 259/363 [00:30<00:05, 20.02it/s]
Loading 0:  73%|███████▎  | 265/363 [00:30<00:03, 24.83it/s]
Loading 0:  74%|███████▍  | 268/363 [00:30<00:04, 23.49it/s]
Loading 0:  75%|███████▌  | 274/363 [00:31<00:03, 28.14it/s]
Loading 0:  77%|███████▋  | 278/363 [00:31<00:03, 27.30it/s]
Loading 0:  78%|███████▊  | 283/363 [00:31<00:02, 30.05it/s]
Loading 0:  79%|███████▉  | 287/363 [00:31<00:02, 28.40it/s]
Loading 0:  80%|████████  | 292/363 [00:31<00:02, 30.50it/s]
Loading 0:  82%|████████▏ | 296/363 [00:32<00:03, 21.38it/s]
Loading 0:  83%|████████▎ | 301/363 [00:32<00:02, 24.60it/s]
Loading 0:  84%|████████▎ | 304/363 [00:32<00:02, 22.95it/s]
Loading 0:  85%|████████▌ | 310/363 [00:32<00:01, 28.04it/s]
Loading 0:  87%|████████▋ | 314/363 [00:32<00:01, 27.01it/s]
Loading 0:  88%|████████▊ | 319/363 [00:32<00:01, 29.64it/s]
Loading 0:  89%|████████▉ | 323/363 [00:32<00:01, 28.19it/s]
Loading 0:  90%|█████████ | 328/363 [00:33<00:01, 30.85it/s]
Loading 0:  91%|█████████▏| 332/363 [00:33<00:01, 21.33it/s]
Loading 0:  93%|█████████▎| 337/363 [00:33<00:01, 24.77it/s]
Loading 0:  94%|█████████▎| 340/363 [00:33<00:01, 22.82it/s]
Loading 0:  95%|█████████▌| 346/363 [00:33<00:00, 27.78it/s]
Loading 0:  96%|█████████▋| 350/363 [00:34<00:00, 26.81it/s]
Loading 0:  98%|█████████▊| 355/363 [00:34<00:00, 28.85it/s]
Loading 0:  99%|█████████▉| 359/363 [00:34<00:00, 27.31it/s]
                                                            

Job chaiml-mistral32-deepse-89261-v1-mkmlizer completed after 155.03s with status: succeeded
Stopping job with name chaiml-mistral32-deepse-89261-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.54s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral32-deepse-89261-v1
Waiting for inference service chaiml-mistral32-deepse-89261-v1 to be ready
Inference service chaiml-mistral32-deepse-89261-v1 ready after 201.72912073135376s
Pipeline stage MKMLDeployer completed in 202.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6771602630615234s
Received healthy response to inference request in 2.042720317840576s
Received healthy response to inference request in 2.040353298187256s
Received healthy response to inference request in 2.0584535598754883s
Received healthy response to inference request in 1.902226209640503s
5 requests
0 failed requests
5th percentile: 1.9298516273498536
10th percentile: 1.957477045059204
20th percentile: 2.012727880477905
30th percentile: 2.04082670211792
40th percentile: 2.0417735099792482
50th percentile: 2.042720317840576
60th percentile: 2.049013614654541
70th percentile: 2.055306911468506
80th percentile: 2.1821949005126955
90th percentile: 2.4296775817871095
95th percentile: 2.5534189224243162
99th percentile: 2.652411994934082
mean time: 2.144182729721069
Pipeline stage StressChecker completed in 12.14s
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 0.74s
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 0.93s
Shutdown handler de-registered
chaiml-mistral32-deepse_89261_v1 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 0.11s
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-deepse-89261-v1-profiler
Waiting for inference service chaiml-mistral32-deepse-89261-v1-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 3269.74s
Shutdown handler de-registered
chaiml-mistral32-deepse_89261_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistral32-deepse_89261_v1 status is now torndown due to DeploymentManager action