developer_uid: alex-au-chai-research
submission_id: mistralai-mistral-nemo_9330_v205
model_name: mistralai-mistral-nemo_9330_v205
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-11-26T18:18:12+00:00
num_battles: 19576
num_wins: 9297
celo_rating: 1245.61
family_friendly_score: 0.5820000000000001
family_friendly_standard_error: 0.006975327949279518
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
latencies: [{'batch_size': 1, 'throughput': 0.618707101542856, 'latency_mean': 1.6162154030799867, 'latency_p50': 1.6138525009155273, 'latency_p90': 1.7755630970001222}, {'batch_size': 3, 'throughput': 1.1429128199082803, 'latency_mean': 2.613288700580597, 'latency_p50': 2.6281352043151855, 'latency_p90': 2.913605570793152}, {'batch_size': 5, 'throughput': 1.3774118882223652, 'latency_mean': 3.6056604838371276, 'latency_p50': 3.6095298528671265, 'latency_p90': 3.980051803588867}, {'batch_size': 6, 'throughput': 1.4517734736629486, 'latency_mean': 4.117313511371613, 'latency_p50': 4.147541761398315, 'latency_p90': 4.653853940963745}, {'batch_size': 8, 'throughput': 1.5222874642035222, 'latency_mean': 5.235762791633606, 'latency_p50': 5.224357843399048, 'latency_p90': 5.881760740280152}, {'batch_size': 10, 'throughput': 1.5566265954616418, 'latency_mean': 6.362050498723984, 'latency_p50': 6.430033445358276, 'latency_p90': 7.067747616767884}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nemo_9330_v205
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.4
us_pacific_date: 2024-11-26
win_ratio: 0.47491826726604003
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-v205-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v205-mkmlizer to finish
mistralai-mistral-nemo-9330-v205-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v205-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v205-mkmlizer: Downloaded to shared memory in 53.854s
mistralai-mistral-nemo-9330-v205-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpplog02wt, device:0
mistralai-mistral-nemo-9330-v205-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v205-mkmlizer: quantized model in 36.004s
mistralai-mistral-nemo-9330-v205-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.858s
mistralai-mistral-nemo-9330-v205-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v205-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v205-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/special_tokens_map.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/config.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/tokenizer_config.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/tokenizer.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v205-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 29.69it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 50.28it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 47.44it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 46.06it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.45it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 47.03it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 45.21it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 50.97it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 49.58it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 37.37it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 37.73it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:06, 42.36it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 43.00it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 42.65it/s]
Loading 0:  25%|██▍       | 90/363 [00:01<00:05, 48.53it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 46.45it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 45.52it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:04, 53.49it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 48.71it/s]
Loading 0:  33%|███▎      | 121/363 [00:02<00:05, 46.88it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 46.08it/s]
Loading 0:  36%|███▋      | 132/363 [00:02<00:05, 44.15it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:05, 43.05it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 34.16it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 34.92it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 34.28it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 40.19it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 41.19it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 42.89it/s]
Loading 0:  47%|████▋     | 172/363 [00:03<00:04, 42.59it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 40.85it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 46.02it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 44.79it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 43.85it/s]
Loading 0:  55%|█████▌    | 201/363 [00:04<00:03, 47.73it/s]
Loading 0:  57%|█████▋    | 206/363 [00:04<00:03, 46.73it/s]
Loading 0:  58%|█████▊    | 211/363 [00:04<00:03, 46.64it/s]
Loading 0:  60%|█████▉    | 217/363 [00:04<00:03, 44.41it/s]
Loading 0:  61%|██████    | 222/363 [00:05<00:03, 45.78it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 31.86it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 31.72it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 37.78it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:03, 39.94it/s]
Loading 0:  68%|██████▊   | 247/363 [00:05<00:02, 40.55it/s]
Loading 0:  70%|██████▉   | 253/363 [00:05<00:02, 39.88it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 40.10it/s]
Loading 0:  73%|███████▎  | 265/363 [00:06<00:02, 45.19it/s]
Loading 0:  75%|███████▍  | 271/363 [00:06<00:02, 43.50it/s]
Loading 0:  76%|███████▌  | 276/363 [00:06<00:02, 41.91it/s]
Loading 0:  78%|███████▊  | 283/363 [00:06<00:01, 46.59it/s]
Loading 0:  80%|███████▉  | 289/363 [00:06<00:01, 44.89it/s]
Loading 0:  81%|████████  | 294/363 [00:06<00:01, 43.08it/s]
Loading 0:  83%|████████▎ | 300/363 [00:06<00:01, 47.04it/s]
Loading 0:  84%|████████▍ | 305/363 [00:13<00:22,  2.61it/s]
Loading 0:  85%|████████▌ | 309/363 [00:13<00:16,  3.32it/s]
Loading 0:  86%|████████▌ | 313/363 [00:14<00:11,  4.30it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.73it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.26it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 11.82it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.71it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.60it/s]
Loading 0:  96%|█████████▌| 349/363 [00:14<00:00, 23.95it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 30.68it/s]
Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 33.73it/s]
                                                            

Job mistralai-mistral-nemo-9330-v205-mkmlizer completed after 114.2s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v205-mkmlizer
Pipeline stage MKMLizer completed in 114.72s
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-v205
Waiting for inference service mistralai-mistral-nemo-9330-v205 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
Retrying (%r) after connection broken by '%r': %s
Inference service mistralai-mistral-nemo-9330-v205 ready after 130.4771270751953s
Pipeline stage MKMLDeployer completed in 131.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.069552183151245s
Received healthy response to inference request in 1.715311050415039s
Received healthy response to inference request in 1.7408685684204102s
Received healthy response to inference request in 2.0668156147003174s
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
Received healthy response to inference request in 1.9249207973480225s
5 requests
0 failed requests
5th percentile: 1.7204225540161133
10th percentile: 1.7255340576171876
20th percentile: 1.735757064819336
30th percentile: 1.7776790142059327
40th percentile: 1.8512999057769775
50th percentile: 1.9249207973480225
60th percentile: 1.9816787242889404
70th percentile: 2.0384366512298584
80th percentile: 2.067362928390503
90th percentile: 2.068457555770874
95th percentile: 2.0690048694610597
99th percentile: 2.069442720413208
mean time: 1.9034936428070068
Pipeline stage StressChecker completed in 10.87s
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 2.26s
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 2.00s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v205 status is now deployed due to DeploymentManager action
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 3081.20s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v205 status is now inactive due to auto deactivation removed underperforming models