developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v242
model_name: tempv1-2
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-02T08:55:04+00:00
num_battles: 11494
num_wins: 5230
celo_rating: 1237.38
family_friendly_score: 0.5962000000000001
family_friendly_standard_error: 0.006938956117457438
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': 0.6527052331379972, 'latency_mean': 1.5319888412952423, 'latency_p50': 1.5377200841903687, 'latency_p90': 1.709863543510437}, {'batch_size': 3, 'throughput': 1.2603006390927274, 'latency_mean': 2.3739033150672912, 'latency_p50': 2.3544200658798218, 'latency_p90': 2.6850542306900023}, {'batch_size': 5, 'throughput': 1.5684004910031548, 'latency_mean': 3.167622811794281, 'latency_p50': 3.147987484931946, 'latency_p90': 3.5446875095367427}, {'batch_size': 6, 'throughput': 1.6507105706379548, 'latency_mean': 3.6107690370082857, 'latency_p50': 3.612093925476074, 'latency_p90': 4.054674029350281}, {'batch_size': 8, 'throughput': 1.738647995023516, 'latency_mean': 4.569834822416306, 'latency_p50': 4.571933031082153, 'latency_p90': 5.134958672523498}, {'batch_size': 10, 'throughput': 1.817569044693611, 'latency_mean': 5.4651388633251194, 'latency_p50': 5.437481880187988, 'latency_p90': 6.172728896141052}]
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: 1.67
us_pacific_date: 2025-01-02
win_ratio: 0.45502001044022966
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': ['User:', '<|eot_id|>', 'You:', '\n', '<|im_end|>', '####', '</s>', 'Bot:'], '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-v242-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v242-mkmlizer to finish
mistralai-mistral-nem-93303-v242-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v242-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v242-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v242-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v242-mkmlizer: Downloaded to shared memory in 51.729s
mistralai-mistral-nem-93303-v242-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpt3jzaelu, device:0
mistralai-mistral-nem-93303-v242-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nem-93303-v242-mkmlizer: quantized model in 37.388s
mistralai-mistral-nem-93303-v242-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.117s
mistralai-mistral-nem-93303-v242-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v242-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v242-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242
mistralai-mistral-nem-93303-v242-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242/config.json
mistralai-mistral-nem-93303-v242-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242/special_tokens_map.json
mistralai-mistral-nem-93303-v242-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242/tokenizer_config.json
mistralai-mistral-nem-93303-v242-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242/tokenizer.json
mistralai-mistral-nem-93303-v242-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v242/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v242-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.84it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 48.72it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 45.76it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 44.93it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.45it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 47.29it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 40.62it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:07, 44.73it/s]
Loading 0:  15%|█▍        | 53/363 [00:01<00:06, 44.83it/s]
Loading 0:  16%|█▌        | 58/363 [00:01<00:06, 45.94it/s]
Loading 0:  17%|█▋        | 63/363 [00:01<00:09, 31.51it/s]
Loading 0:  18%|█▊        | 67/363 [00:01<00:08, 33.21it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 36.60it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:07, 37.46it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:07, 37.20it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 41.59it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 40.26it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:06, 40.98it/s]
Loading 0:  29%|██▊       | 104/363 [00:02<00:06, 41.91it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:05, 43.69it/s]
Loading 0:  31%|███▏      | 114/363 [00:02<00:06, 35.79it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:07, 33.28it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 40.10it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 39.34it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 39.58it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 40.29it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 26.36it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 26.92it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:05, 34.94it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 37.26it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 38.89it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 40.85it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 35.09it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 42.06it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 40.90it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 41.26it/s]
Loading 0:  55%|█████▍    | 198/363 [00:05<00:03, 42.34it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 36.27it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 42.91it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 43.27it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 44.41it/s]
Loading 0:  62%|██████▏   | 225/363 [00:05<00:05, 27.13it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 29.45it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 36.88it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 38.64it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 40.83it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 40.31it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 40.20it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 44.01it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 42.32it/s]
Loading 0:  76%|███████▌  | 276/363 [00:07<00:02, 40.62it/s]
Loading 0:  78%|███████▊  | 282/363 [00:07<00:01, 45.17it/s]
Loading 0:  79%|███████▉  | 287/363 [00:07<00:01, 44.82it/s]
Loading 0:  80%|████████  | 292/363 [00:07<00:01, 44.55it/s]
Loading 0:  82%|████████▏ | 297/363 [00:07<00:01, 45.72it/s]
Loading 0:  83%|████████▎ | 302/363 [00:07<00:01, 45.45it/s]
Loading 0:  85%|████████▍ | 307/363 [00:14<00:23,  2.37it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:15,  3.28it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:08,  5.32it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:05,  7.21it/s]
Loading 0:  91%|█████████ | 331/363 [00:15<00:03,  9.06it/s]
Loading 0:  93%|█████████▎| 337/363 [00:15<00:02, 12.30it/s]
Loading 0:  94%|█████████▍| 342/363 [00:15<00:01, 15.32it/s]
Loading 0:  96%|█████████▌| 347/363 [00:15<00:00, 18.89it/s]
Loading 0:  97%|█████████▋| 353/363 [00:15<00:00, 22.89it/s]
Loading 0:  99%|█████████▊| 358/363 [00:15<00:00, 26.30it/s]
                                                            

Job mistralai-mistral-nem-93303-v242-mkmlizer completed after 115.05s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v242-mkmlizer
Pipeline stage MKMLizer completed in 115.52s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v242
Waiting for inference service mistralai-mistral-nem-93303-v242 to be ready
Inference service mistralai-mistral-nem-93303-v242 ready after 321.7848381996155s
Pipeline stage MKMLDeployer completed in 322.28s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5396406650543213s
Received healthy response to inference request in 0.9471714496612549s
Received healthy response to inference request in 1.4019381999969482s
Received healthy response to inference request in 0.8497939109802246s
Received healthy response to inference request in 1.2159175872802734s
5 requests
0 failed requests
5th percentile: 0.8692694187164307
10th percentile: 0.8887449264526367
20th percentile: 0.9276959419250488
30th percentile: 1.0009206771850585
40th percentile: 1.108419132232666
50th percentile: 1.2159175872802734
60th percentile: 1.2903258323669433
70th percentile: 1.3647340774536132
80th percentile: 1.429478693008423
90th percentile: 1.484559679031372
95th percentile: 1.5121001720428466
99th percentile: 1.5341325664520264
mean time: 1.1908923625946044
Pipeline stage StressChecker completed in 7.56s
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 0.78s
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 0.66s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v242 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service mistralai-mistral-nem-93303-v242-profiler
Waiting for inference service mistralai-mistral-nem-93303-v242-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 2500.23s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v242 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v242 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v242 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v242 status is now torndown due to DeploymentManager action