mistralai-mistral-nem_93303

developer_uid: zonemercy

submission_id: mistralai-mistral-nem_93303_v240

model_name: tempv1-2

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2025-01-02T04:08:10+00:00

num_battles: 15263

num_wins: 6845

celo_rating: 1241.76

family_friendly_score: 0.5964

family_friendly_standard_error: 0.006938400968522935

submission_type: basic

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 768

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.6592442262935923, 'latency_mean': 1.5168129324913024, 'latency_p50': 1.513256549835205, 'latency_p90': 1.6775234937667847}, {'batch_size': 3, 'throughput': 1.2791479542699262, 'latency_mean': 2.3399987733364105, 'latency_p50': 2.349053978919983, 'latency_p90': 2.570242094993591}, {'batch_size': 5, 'throughput': 1.5978521212491457, 'latency_mean': 3.1162382054328917, 'latency_p50': 3.1196829080581665, 'latency_p90': 3.461754870414734}, {'batch_size': 6, 'throughput': 1.6824537063083445, 'latency_mean': 3.5458855855464937, 'latency_p50': 3.536899209022522, 'latency_p90': 4.046410298347473}, {'batch_size': 8, 'throughput': 1.78898509114614, 'latency_mean': 4.440912712812423, 'latency_p50': 4.4581217765808105, 'latency_p90': 5.00237762928009}, {'batch_size': 10, 'throughput': 1.840545792769003, 'latency_mean': 5.389228019714356, 'latency_p50': 5.401105523109436, 'latency_p90': 6.064744281768799}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: tempv1-2

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.71

us_pacific_date: 2025-01-01

win_ratio: 0.4484701565878268

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['Bot:', '####', '<|im_end|>', '<|eot_id|>', '</s>', 'User:', '\n', 'You:'], 'max_input_tokens': 768, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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 mistralai-mistral-nem-93303-v240-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v240-mkmlizer to finish
mistralai-mistral-nem-93303-v240-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v240-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v240-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v240-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v240-mkmlizer: Downloaded to shared memory in 57.012s
mistralai-mistral-nem-93303-v240-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprglrjjqb, device:0
mistralai-mistral-nem-93303-v240-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v240-mkmlizer: quantized model in 38.386s
mistralai-mistral-nem-93303-v240-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 95.398s
mistralai-mistral-nem-93303-v240-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v240-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v240-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v240
mistralai-mistral-nem-93303-v240-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v240/config.json
mistralai-mistral-nem-93303-v240-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v240/special_tokens_map.json
mistralai-mistral-nem-93303-v240-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v240/tokenizer_config.json
mistralai-mistral-nem-93303-v240-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v240/tokenizer.json
mistralai-mistral-nem-93303-v240-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.16it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 45.52it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:07, 45.79it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:11, 29.77it/s]
Loading 0:   8%|▊         | 28/363 [00:00<00:09, 33.74it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:10, 33.02it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:07, 44.06it/s]
Loading 0:  13%|█▎        | 46/363 [00:01<00:07, 44.85it/s]
Loading 0:  14%|█▍        | 51/363 [00:01<00:06, 45.07it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:05, 50.78it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:08, 37.06it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 40.84it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 41.24it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:06, 42.14it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:05, 47.22it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:06, 44.25it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:06, 41.94it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:05, 43.57it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 46.87it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 43.10it/s]
Loading 0:  34%|███▎      | 122/363 [00:02<00:05, 44.21it/s]
Loading 0:  35%|███▍      | 127/363 [00:03<00:06, 36.21it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 42.47it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:05, 39.99it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:08, 26.26it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 28.33it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 34.68it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 36.09it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 36.13it/s]
Loading 0:  47%|████▋     | 170/363 [00:04<00:05, 36.60it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 37.71it/s]
Loading 0:  50%|████▉     | 180/363 [00:04<00:04, 40.61it/s]
Loading 0:  51%|█████     | 185/363 [00:04<00:05, 35.49it/s]
Loading 0:  53%|█████▎    | 192/363 [00:04<00:04, 42.39it/s]
Loading 0:  54%|█████▍    | 197/363 [00:05<00:03, 41.56it/s]
Loading 0:  56%|█████▌    | 202/363 [00:05<00:03, 42.80it/s]
Loading 0:  57%|█████▋    | 207/363 [00:05<00:03, 42.02it/s]
Loading 0:  58%|█████▊    | 212/363 [00:05<00:05, 29.91it/s]
Loading 0:  60%|██████    | 218/363 [00:05<00:04, 34.81it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 29.20it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:04, 30.02it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 29.24it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 34.36it/s]
Loading 0:  66%|██████▋   | 241/363 [00:06<00:03, 33.70it/s]
Loading 0:  68%|██████▊   | 246/363 [00:06<00:03, 36.29it/s]
Loading 0:  69%|██████▉   | 250/363 [00:06<00:03, 34.90it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 36.51it/s]
Loading 0:  71%|███████▏  | 259/363 [00:06<00:02, 34.72it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 37.01it/s]
Loading 0:  74%|███████▍  | 268/363 [00:07<00:02, 33.78it/s]
Loading 0:  75%|███████▌  | 273/363 [00:07<00:02, 36.30it/s]
Loading 0:  76%|███████▋  | 277/363 [00:07<00:02, 34.66it/s]
Loading 0:  78%|███████▊  | 282/363 [00:07<00:02, 37.32it/s]
Loading 0:  79%|███████▉  | 286/363 [00:07<00:02, 35.07it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 37.30it/s]
Loading 0:  81%|████████▏ | 295/363 [00:07<00:01, 35.37it/s]
Loading 0:  82%|████████▏ | 299/363 [00:08<00:01, 34.81it/s]
Loading 0:  84%|████████▎ | 304/363 [00:15<00:28,  2.04it/s]
Loading 0:  85%|████████▍ | 307/363 [00:15<00:21,  2.57it/s]
Loading 0:  86%|████████▌ | 312/363 [00:15<00:13,  3.79it/s]
Loading 0:  88%|████████▊ | 320/363 [00:15<00:06,  6.52it/s]
Loading 0:  90%|████████▉ | 326/363 [00:15<00:04,  8.90it/s]
Loading 0:  91%|█████████ | 331/363 [00:15<00:02, 11.36it/s]
Loading 0:  93%|█████████▎| 338/363 [00:15<00:01, 15.99it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:00, 19.50it/s]
Loading 0:  96%|█████████▌| 349/363 [00:16<00:00, 22.37it/s]
Loading 0:  98%|█████████▊| 356/363 [00:16<00:00, 28.68it/s]
Loading 0: 100%|█████████▉| 362/363 [00:16<00:00, 31.22it/s]
                                                            
Job mistralai-mistral-nem-93303-v240-mkmlizer completed after 125.23s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v240-mkmlizer
Pipeline stage MKMLizer completed in 125.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v240
Waiting for inference service mistralai-mistral-nem-93303-v240 to be ready
Inference service mistralai-mistral-nem-93303-v240 ready after 331.379647731781s
Pipeline stage MKMLDeployer completed in 331.88s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.935723066329956s
Received healthy response to inference request in 1.3771634101867676s
Received healthy response to inference request in 1.4991858005523682s
Received healthy response to inference request in 0.9016947746276855s
Received healthy response to inference request in 1.3878486156463623s
5 requests
0 failed requests
5th percentile: 0.996788501739502
10th percentile: 1.0918822288513184
20th percentile: 1.2820696830749512
30th percentile: 1.3793004512786866
40th percentile: 1.3835745334625245
50th percentile: 1.3878486156463623
60th percentile: 1.4323834896087646
70th percentile: 1.476918363571167
80th percentile: 1.5864932537078857
90th percentile: 1.761108160018921
95th percentile: 1.8484156131744385
99th percentile: 1.9182615756988526
mean time: 1.420323133468628
Pipeline stage StressChecker completed in 8.51s
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 0.62s
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 0.70s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v240 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nem-93303-v240-profiler
Waiting for inference service mistralai-mistral-nem-93303-v240-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 2503.56s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v240 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v240 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v240 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v240 status is now torndown due to DeploymentManager action