developer_uid: huohuo12
submission_id: mistralai-mistral-nem_93303_v413
model_name: mistralai-mistral-nem_93303_v413
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-02-20T06:04:04+00:00
num_battles: 5197
num_wins: 2556
celo_rating: 1245.26
family_friendly_score: 0.6058
family_friendly_standard_error: 0.006910953045709397
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': 0.6076286640499197, 'latency_mean': 1.6456778466701507, 'latency_p50': 1.6529983282089233, 'latency_p90': 1.790322232246399}, {'batch_size': 3, 'throughput': 1.1037852521588596, 'latency_mean': 2.708421987295151, 'latency_p50': 2.713887333869934, 'latency_p90': 3.017389702796936}, {'batch_size': 5, 'throughput': 1.3450776893145255, 'latency_mean': 3.696194828748703, 'latency_p50': 3.703575611114502, 'latency_p90': 4.137602806091309}, {'batch_size': 6, 'throughput': 1.392891040997163, 'latency_mean': 4.280685888528824, 'latency_p50': 4.315301060676575, 'latency_p90': 4.798274898529052}, {'batch_size': 8, 'throughput': 1.46402364883736, 'latency_mean': 5.431562278270722, 'latency_p50': 5.426475644111633, 'latency_p90': 6.05744616985321}, {'batch_size': 10, 'throughput': 1.4970249196679841, 'latency_mean': 6.62368214726448, 'latency_p50': 6.642313361167908, 'latency_p90': 7.5227203369140625}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v413
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-02-19
win_ratio: 0.4918222051183375
generation_params: {'temperature': 0.8, 'top_p': 0.95, 'min_p': 0.015, 'top_k': 60, 'presence_penalty': 0.5, 'frequency_penalty': 0.2, '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-nem-93303-v413-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v413-mkmlizer to finish
mistralai-mistral-nem-93303-v413-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v413-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v413-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v413-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v413-mkmlizer: Downloaded to shared memory in 55.679s
mistralai-mistral-nem-93303-v413-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxuoytpib, device:0
mistralai-mistral-nem-93303-v413-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v413-mkmlizer: quantized model in 38.484s
mistralai-mistral-nem-93303-v413-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 94.163s
mistralai-mistral-nem-93303-v413-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v413-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v413-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v413
mistralai-mistral-nem-93303-v413-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v413/config.json
mistralai-mistral-nem-93303-v413-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v413/special_tokens_map.json
mistralai-mistral-nem-93303-v413-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v413/tokenizer_config.json
mistralai-mistral-nem-93303-v413-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v413/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v413-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.66it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 44.18it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:08, 42.45it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:08, 41.38it/s]
Loading 0:   7%|▋         | 27/363 [00:00<00:07, 42.13it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:10, 32.65it/s]
Loading 0:  11%|█         | 39/363 [00:00<00:08, 39.73it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:08, 39.12it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:08, 38.88it/s]
Loading 0:  15%|█▍        | 54/363 [00:01<00:07, 39.83it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:07, 40.51it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:12, 24.42it/s]
Loading 0:  20%|█▉        | 71/363 [00:02<00:09, 31.14it/s]
Loading 0:  21%|██        | 76/363 [00:02<00:08, 32.26it/s]
Loading 0:  22%|██▏       | 80/363 [00:02<00:08, 33.17it/s]
Loading 0:  23%|██▎       | 84/363 [00:02<00:08, 32.77it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:07, 35.03it/s]
Loading 0:  26%|██▌       | 93/363 [00:02<00:08, 33.36it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:07, 35.56it/s]
Loading 0:  28%|██▊       | 102/363 [00:02<00:07, 34.49it/s]
Loading 0:  29%|██▉       | 106/363 [00:03<00:07, 33.64it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:06, 37.88it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:06, 36.42it/s]
Loading 0:  33%|███▎      | 120/363 [00:03<00:07, 34.70it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:06, 36.56it/s]
Loading 0:  36%|███▌      | 129/363 [00:03<00:06, 35.54it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:06, 37.28it/s]
Loading 0:  38%|███▊      | 138/363 [00:03<00:06, 35.69it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:08, 26.13it/s]
Loading 0:  40%|███▉      | 145/363 [00:04<00:08, 25.74it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:08, 25.54it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:06, 30.45it/s]
Loading 0:  44%|████▎     | 158/363 [00:04<00:06, 29.31it/s]
Loading 0:  45%|████▌     | 164/363 [00:04<00:05, 36.38it/s]
Loading 0:  46%|████▋     | 168/363 [00:04<00:05, 33.34it/s]
Loading 0:  47%|████▋     | 172/363 [00:05<00:05, 34.88it/s]
Loading 0:  48%|████▊     | 176/363 [00:05<00:05, 32.26it/s]
Loading 0:  50%|████▉     | 181/363 [00:05<00:04, 36.46it/s]
Loading 0:  51%|█████     | 185/363 [00:05<00:05, 33.09it/s]
Loading 0:  52%|█████▏    | 190/363 [00:05<00:04, 37.03it/s]
Loading 0:  53%|█████▎    | 194/363 [00:05<00:04, 33.85it/s]
Loading 0:  55%|█████▌    | 201/363 [00:05<00:04, 40.26it/s]
Loading 0:  57%|█████▋    | 206/363 [00:05<00:03, 39.56it/s]
Loading 0:  58%|█████▊    | 211/363 [00:06<00:03, 39.23it/s]
Loading 0:  59%|█████▉    | 215/363 [00:06<00:03, 37.82it/s]
Loading 0:  60%|██████    | 219/363 [00:06<00:03, 36.39it/s]
Loading 0:  61%|██████▏   | 223/363 [00:06<00:05, 26.52it/s]
Loading 0:  63%|██████▎   | 227/363 [00:06<00:04, 27.63it/s]
Loading 0:  64%|██████▎   | 231/363 [00:06<00:04, 26.60it/s]
Loading 0:  65%|██████▍   | 235/363 [00:06<00:04, 28.77it/s]
Loading 0:  66%|██████▌   | 239/363 [00:07<00:04, 27.57it/s]
Loading 0:  67%|██████▋   | 244/363 [00:07<00:03, 32.59it/s]
Loading 0:  68%|██████▊   | 248/363 [00:07<00:03, 30.71it/s]
Loading 0:  70%|██████▉   | 253/363 [00:07<00:03, 34.92it/s]
Loading 0:  71%|███████   | 257/363 [00:07<00:03, 31.94it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 38.67it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 37.77it/s]
Loading 0:  75%|███████▌  | 273/363 [00:08<00:02, 36.10it/s]
Loading 0:  76%|███████▋  | 277/363 [00:08<00:02, 34.35it/s]
Loading 0:  78%|███████▊  | 282/363 [00:08<00:02, 36.44it/s]
Loading 0:  79%|███████▉  | 286/363 [00:08<00:02, 35.04it/s]
Loading 0:  80%|███████▉  | 290/363 [00:08<00:02, 35.84it/s]
Loading 0:  81%|████████  | 294/363 [00:08<00:02, 32.82it/s]
Loading 0:  82%|████████▏ | 299/363 [00:08<00:01, 34.91it/s]
Loading 0:  84%|████████▎ | 304/363 [00:15<00:27,  2.16it/s]
Loading 0:  85%|████████▍ | 307/363 [00:15<00:20,  2.70it/s]
Loading 0:  86%|████████▌ | 312/363 [00:15<00:12,  3.94it/s]
Loading 0:  88%|████████▊ | 319/363 [00:15<00:06,  6.36it/s]
Loading 0:  89%|████████▉ | 323/363 [00:16<00:05,  7.97it/s]
Loading 0:  90%|█████████ | 328/363 [00:16<00:03, 10.68it/s]
Loading 0:  91%|█████████▏| 332/363 [00:16<00:02, 12.99it/s]
Loading 0:  93%|█████████▎| 337/363 [00:16<00:01, 16.78it/s]
Loading 0:  94%|█████████▍| 342/363 [00:16<00:01, 20.46it/s]
Loading 0:  95%|█████████▌| 346/363 [00:16<00:00, 23.16it/s]
Loading 0:  96%|█████████▋| 350/363 [00:16<00:00, 25.28it/s]
Loading 0:  98%|█████████▊| 355/363 [00:16<00:00, 29.39it/s]
Loading 0:  99%|█████████▉| 359/363 [00:17<00:00, 30.18it/s]
                                                            

Job mistralai-mistral-nem-93303-v413-mkmlizer completed after 114.11s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v413-mkmlizer
Pipeline stage MKMLizer completed in 114.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v413
Waiting for inference service mistralai-mistral-nem-93303-v413 to be ready
Inference service mistralai-mistral-nem-93303-v413 ready after 190.91379189491272s
Pipeline stage MKMLDeployer completed in 191.43s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3324639797210693s
Received healthy response to inference request in 1.5244309902191162s
Received healthy response to inference request in 1.7288665771484375s
Received healthy response to inference request in 2.304827928543091s
Received healthy response to inference request in 1.5054552555084229s
5 requests
0 failed requests
5th percentile: 1.5092504024505615
10th percentile: 1.5130455493927002
20th percentile: 1.5206358432769775
30th percentile: 1.5653181076049805
40th percentile: 1.647092342376709
50th percentile: 1.7288665771484375
60th percentile: 1.9592511177062988
70th percentile: 2.18963565826416
80th percentile: 2.3103551387786867
90th percentile: 2.321409559249878
95th percentile: 2.3269367694854735
99th percentile: 2.33135853767395
mean time: 1.8792089462280273
Pipeline stage StressChecker completed in 10.59s
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 0.64s
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 0.62s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v413 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 2545.16s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v413 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v413 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v413 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v413 status is now torndown due to DeploymentManager action
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1