developer_uid: azuruce
submission_id: mistralai-mistral-nemo_9330_v210
model_name: ava-b
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-12-10T06:26:03+00:00
num_battles: 290509
num_wins: 143778
celo_rating: 1232.33
family_friendly_score: 0.5822
family_friendly_standard_error: 0.006974857131153297
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6439114896472659, 'latency_mean': 1.552953509092331, 'latency_p50': 1.5440560579299927, 'latency_p90': 1.726903510093689}, {'batch_size': 3, 'throughput': 1.26606112601159, 'latency_mean': 2.3576804649829866, 'latency_p50': 2.354781150817871, 'latency_p90': 2.634869289398193}, {'batch_size': 5, 'throughput': 1.6027576806145556, 'latency_mean': 3.1031172609329225, 'latency_p50': 3.1173001527786255, 'latency_p90': 3.45992112159729}, {'batch_size': 6, 'throughput': 1.7277578011050145, 'latency_mean': 3.4534880208969114, 'latency_p50': 3.4484702348709106, 'latency_p90': 3.892283225059509}, {'batch_size': 8, 'throughput': 1.8782726523202862, 'latency_mean': 4.228257179260254, 'latency_p50': 4.24195921421051, 'latency_p90': 4.710202288627625}, {'batch_size': 10, 'throughput': 1.9754283426956898, 'latency_mean': 5.0341494536399845, 'latency_p50': 5.03141450881958, 'latency_p90': 5.655290842056274}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: ava-b
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-09
win_ratio: 0.494917541280993
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, '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-nemo-9330-v210-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v210-mkmlizer to finish
mistralai-mistral-nemo-9330-v210-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v210-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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-nemo-9330-v210-mkmlizer: Downloaded to shared memory in 56.110s
mistralai-mistral-nemo-9330-v210-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr85mvj2c, device:0
mistralai-mistral-nemo-9330-v210-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
mistralai-mistral-nemo-9330-v210-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v210-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v210-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210
mistralai-mistral-nemo-9330-v210-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210/special_tokens_map.json
mistralai-mistral-nemo-9330-v210-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210/config.json
mistralai-mistral-nemo-9330-v210-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210/tokenizer_config.json
mistralai-mistral-nemo-9330-v210-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210/tokenizer.json
mistralai-mistral-nemo-9330-v210-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v210/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v210-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.06it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.71it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 48.96it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 49.88it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 52.05it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.31it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 44.48it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 49.65it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 44.61it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 45.78it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 31.18it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 37.63it/s] Loading 0: 21%|██ | 77/363 [00:01<00:07, 37.19it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 33.14it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 41.17it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 40.76it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 38.84it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:06, 40.97it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 43.65it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:06, 40.66it/s] Loading 0: 34%|███▎ | 122/363 [00:02<00:05, 42.38it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:06, 35.32it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:05, 41.16it/s] Loading 0: 38%|███▊ | 139/363 [00:03<00:05, 39.84it/s] Loading 0: 40%|███▉ | 144/363 [00:03<00:08, 25.72it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.30it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:06, 33.38it/s] Loading 0: 44%|████▍ | 160/363 [00:04<00:06, 33.11it/s] Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 35.20it/s] Loading 0: 47%|████▋ | 169/363 [00:04<00:05, 35.03it/s] Loading 0: 48%|████▊ | 174/363 [00:04<00:04, 38.47it/s] Loading 0: 49%|████▉ | 179/363 [00:04<00:04, 39.16it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:04, 40.12it/s] Loading 0: 52%|█████▏ | 189/363 [00:04<00:04, 42.61it/s] Loading 0: 53%|█████▎ | 194/363 [00:05<00:04, 36.83it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:03, 43.86it/s] Loading 0: 57%|█████▋ | 206/363 [00:05<00:03, 43.01it/s] Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 43.19it/s] Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 44.53it/s] Loading 0: 61%|██████ | 221/363 [00:05<00:03, 45.11it/s] Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 28.03it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 28.06it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 35.96it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 37.41it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 37.73it/s] Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 38.47it/s] Loading 0: 71%|███████ | 258/363 [00:06<00:02, 38.55it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 42.73it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 43.18it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 43.82it/s] Loading 0: 77%|███████▋ | 280/363 [00:07<00:01, 42.28it/s] Loading 0: 79%|███████▊ | 285/363 [00:07<00:01, 40.11it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 44.66it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 44.54it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 45.45it/s] Loading 0: 84%|████████▍ | 306/363 [00:14<00:23, 2.41it/s] Loading 0: 85%|████████▌ | 310/363 [00:14<00:16, 3.13it/s] Loading 0: 87%|████████▋ | 314/363 [00:14<00:11, 4.11it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.15it/s] Loading 0: 90%|████████▉ | 326/363 [00:15<00:04, 8.64it/s] Loading 0: 91%|█████████ | 330/363 [00:15<00:03, 10.58it/s] Loading 0: 93%|█████████▎| 338/363 [00:15<00:01, 16.29it/s] Loading 0: 95%|█████████▍| 344/363 [00:15<00:00, 20.10it/s] Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 22.99it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.07it/s] Loading 0: 99%|█████████▉| 361/363 [00:15<00:00, 31.62it/s]
Job mistralai-mistral-nemo-9330-v210-mkmlizer completed after 124.92s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v210-mkmlizer
Pipeline stage MKMLizer completed in 125.43s
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-nemo-9330-v210
Waiting for inference service mistralai-mistral-nemo-9330-v210 to be ready
Inference service mistralai-mistral-nemo-9330-v210 ready after 181.05205059051514s
Pipeline stage MKMLDeployer completed in 182.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.857987642288208s
Received healthy response to inference request in 0.9338607788085938s
Received healthy response to inference request in 0.7015838623046875s
Received healthy response to inference request in 0.9866733551025391s
Received healthy response to inference request in 1.3948984146118164s
5 requests
0 failed requests
5th percentile: 0.7480392456054688
10th percentile: 0.79449462890625
20th percentile: 0.8874053955078125
30th percentile: 0.9444232940673828
40th percentile: 0.965548324584961
50th percentile: 0.9866733551025391
60th percentile: 1.14996337890625
70th percentile: 1.313253402709961
80th percentile: 1.4875162601470948
90th percentile: 1.6727519512176514
95th percentile: 1.7653697967529296
99th percentile: 1.8394640731811522
mean time: 1.1750008106231689
Pipeline stage StressChecker completed in 7.20s
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 2.17s
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 2.01s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v210 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 0.11s
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-nemo-9330-v210-profiler
Waiting for inference service mistralai-mistral-nemo-9330-v210-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 2520.68s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v210 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v210 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v210 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v210 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v210 status is now inactive due to auto deactivation removed underperforming models