developer_uid: valentin
submission_id: mistralai-mistral-nemo_9330_v203
model_name: mistralai-mistral-nemo_9330_v203
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-11-26T14:25:46+00:00
num_battles: 25248
num_wins: 11971
celo_rating: 1242.96
family_friendly_score: 0.5754
family_friendly_standard_error: 0.0069902051472041935
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6239953630120582, 'latency_mean': 1.602508054971695, 'latency_p50': 1.607507586479187, 'latency_p90': 1.7633522748947144}, {'batch_size': 3, 'throughput': 1.168305560232803, 'latency_mean': 2.5515683603286745, 'latency_p50': 2.5527241230010986, 'latency_p90': 2.8133413791656494}, {'batch_size': 5, 'throughput': 1.414253127020334, 'latency_mean': 3.516959764957428, 'latency_p50': 3.5154008865356445, 'latency_p90': 3.963882899284363}, {'batch_size': 6, 'throughput': 1.4778427685104791, 'latency_mean': 4.033531081676483, 'latency_p50': 4.031024932861328, 'latency_p90': 4.51723952293396}, {'batch_size': 8, 'throughput': 1.5478201614404816, 'latency_mean': 5.137808065414429, 'latency_p50': 5.147552132606506, 'latency_p90': 5.807014393806457}, {'batch_size': 10, 'throughput': 1.5955844150266354, 'latency_mean': 6.212111073732376, 'latency_p50': 6.205950736999512, 'latency_p90': 7.0327596187591555}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nemo_9330_v203
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.45
us_pacific_date: 2024-11-26
win_ratio: 0.4741365652724968
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': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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-nemo-9330-v203-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v203-mkmlizer to finish
mistralai-mistral-nemo-9330-v203-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v203-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v203-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v203-mkmlizer: Downloaded to shared memory in 56.849s
mistralai-mistral-nemo-9330-v203-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9i1juvix, device:0
mistralai-mistral-nemo-9330-v203-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v203-mkmlizer: quantized model in 35.563s
mistralai-mistral-nemo-9330-v203-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 92.412s
mistralai-mistral-nemo-9330-v203-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v203-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v203-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203
mistralai-mistral-nemo-9330-v203-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203/special_tokens_map.json
mistralai-mistral-nemo-9330-v203-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203/config.json
mistralai-mistral-nemo-9330-v203-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203/tokenizer_config.json
mistralai-mistral-nemo-9330-v203-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203/tokenizer.json
mistralai-mistral-nemo-9330-v203-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v203/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v203-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 31.94it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 54.05it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 48.85it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 49.20it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.60it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 45.99it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 44.16it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 49.96it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 47.10it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:07, 38.40it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 38.93it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:06, 43.48it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 43.61it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 44.16it/s]
Loading 0:  25%|██▍       | 90/363 [00:01<00:05, 49.94it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 48.67it/s]
Loading 0:  28%|██▊       | 102/363 [00:02<00:05, 48.88it/s]
Loading 0:  30%|███       | 110/363 [00:02<00:04, 51.66it/s]
Loading 0:  32%|███▏      | 116/363 [00:02<00:04, 51.20it/s]
Loading 0:  34%|███▎      | 122/363 [00:02<00:04, 52.33it/s]
Loading 0:  35%|███▌      | 128/363 [00:02<00:05, 45.57it/s]
Loading 0:  37%|███▋      | 135/363 [00:02<00:04, 49.06it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:04, 47.37it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 35.58it/s]
Loading 0:  42%|████▏     | 151/363 [00:03<00:05, 35.71it/s]
Loading 0:  43%|████▎     | 157/363 [00:03<00:05, 39.50it/s]
Loading 0:  45%|████▍     | 163/363 [00:03<00:05, 39.28it/s]
Loading 0:  46%|████▋     | 168/363 [00:03<00:04, 40.26it/s]
Loading 0:  48%|████▊     | 175/363 [00:03<00:04, 45.25it/s]
Loading 0:  50%|████▉     | 181/363 [00:04<00:04, 44.33it/s]
Loading 0:  51%|█████     | 186/363 [00:04<00:04, 43.93it/s]
Loading 0:  53%|█████▎    | 192/363 [00:04<00:03, 47.62it/s]
Loading 0:  54%|█████▍    | 197/363 [00:04<00:03, 46.40it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 46.78it/s]
Loading 0:  57%|█████▋    | 208/363 [00:04<00:03, 44.57it/s]
Loading 0:  59%|█████▊    | 213/363 [00:04<00:03, 43.97it/s]
Loading 0:  61%|██████    | 220/363 [00:04<00:02, 50.56it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:04, 33.48it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 35.27it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 40.12it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:02, 42.34it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 44.04it/s]
Loading 0:  69%|██████▉   | 252/363 [00:05<00:02, 45.21it/s]
Loading 0:  71%|███████   | 257/363 [00:05<00:02, 38.54it/s]
Loading 0:  73%|███████▎  | 265/363 [00:05<00:02, 46.93it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 45.95it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 43.30it/s]
Loading 0:  78%|███████▊  | 283/363 [00:06<00:01, 47.55it/s]
Loading 0:  80%|███████▉  | 289/363 [00:06<00:01, 45.41it/s]
Loading 0:  81%|████████  | 294/363 [00:06<00:01, 43.80it/s]
Loading 0:  82%|████████▏ | 299/363 [00:06<00:01, 45.15it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:23,  2.55it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:16,  3.28it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:11,  4.26it/s]
Loading 0:  88%|████████▊ | 320/363 [00:13<00:06,  7.07it/s]
Loading 0:  90%|████████▉ | 326/363 [00:13<00:03,  9.54it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.05it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.85it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.29it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 23.36it/s]
Loading 0:  98%|█████████▊| 355/363 [00:14<00:00, 28.71it/s]
Loading 0:  99%|█████████▉| 360/363 [00:14<00:00, 31.30it/s]
                                                            

Job mistralai-mistral-nemo-9330-v203-mkmlizer completed after 114.34s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v203-mkmlizer
Pipeline stage MKMLizer completed in 115.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v203
Waiting for inference service mistralai-mistral-nemo-9330-v203 to be ready
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
Inference service mistralai-mistral-nemo-9330-v203 ready after 120.7285270690918s
Pipeline stage MKMLDeployer completed in 121.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8406050205230713s
Received healthy response to inference request in 2.3826088905334473s
Received healthy response to inference request in 1.800609827041626s
Received healthy response to inference request in 2.036635637283325s
Received healthy response to inference request in 1.6853151321411133s
5 requests
0 failed requests
5th percentile: 1.7083740711212159
10th percentile: 1.7314330101013184
20th percentile: 1.7775508880615234
30th percentile: 1.8478149890899658
40th percentile: 1.9422253131866456
50th percentile: 2.036635637283325
60th percentile: 2.175024938583374
70th percentile: 2.3134142398834228
80th percentile: 2.474208116531372
90th percentile: 2.6574065685272217
95th percentile: 2.7490057945251465
99th percentile: 2.8222851753234863
mean time: 2.1491549015045166
Pipeline stage StressChecker completed in 12.19s
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 2.24s
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 2.06s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v203 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 0.12s
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-nemo-9330-v203-profiler
Waiting for inference service mistralai-mistral-nemo-9330-v203-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 2903.02s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v203 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v203 status is now torndown due to DeploymentManager action
mistralai-mistral-nemo_9330_v203 status is now torndown due to DeploymentManager action
mistralai-mistral-nemo_9330_v203 status is now torndown due to DeploymentManager action