developer_uid: zonemercy
submission_id: mistralai-mistral-nemo_9330_v221
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-12-26T10:30:49+00:00
num_battles: 20479
num_wins: 9114
celo_rating: 1233.89
family_friendly_score: 0.5936
family_friendly_standard_error: 0.006946064209320268
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
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6307280313503066, 'latency_mean': 1.5853745114803315, 'latency_p50': 1.5724657773971558, 'latency_p90': 1.7499382019042968}, {'batch_size': 3, 'throughput': 1.2435032092694709, 'latency_mean': 2.404466520547867, 'latency_p50': 2.3942097425460815, 'latency_p90': 2.6866140365600586}, {'batch_size': 5, 'throughput': 1.5697601994943509, 'latency_mean': 3.1794678711891176, 'latency_p50': 3.1861746311187744, 'latency_p90': 3.527659249305725}, {'batch_size': 6, 'throughput': 1.6670855442153398, 'latency_mean': 3.579913662672043, 'latency_p50': 3.6074740886688232, 'latency_p90': 4.039452266693115}, {'batch_size': 8, 'throughput': 1.8255964972432717, 'latency_mean': 4.3528718400001525, 'latency_p50': 4.35674524307251, 'latency_p90': 4.922182488441467}, {'batch_size': 10, 'throughput': 1.8831722373578592, 'latency_mean': 5.27965093255043, 'latency_p50': 5.242520332336426, 'latency_p90': 6.035153341293335}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.71
us_pacific_date: 2024-12-26
win_ratio: 0.44504126178036035
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'User:', '</s>', '<|eot_id|>', 'Bot:', '####', 'You:', '<|im_end|>'], '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-v221-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v221-mkmlizer to finish
mistralai-mistral-nemo-9330-v221-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v221-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v221-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v221-mkmlizer: Downloaded to shared memory in 59.228s
mistralai-mistral-nemo-9330-v221-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuw6t7tq6, device:0
mistralai-mistral-nemo-9330-v221-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v221-mkmlizer: quantized model in 41.779s
mistralai-mistral-nemo-9330-v221-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 101.007s
mistralai-mistral-nemo-9330-v221-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v221-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v221-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221
mistralai-mistral-nemo-9330-v221-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221/config.json
mistralai-mistral-nemo-9330-v221-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221/special_tokens_map.json
mistralai-mistral-nemo-9330-v221-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221/tokenizer_config.json
mistralai-mistral-nemo-9330-v221-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221/tokenizer.json
mistralai-mistral-nemo-9330-v221-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v221/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v221-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v221-mkmlizer completed after 124.76s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v221-mkmlizer
Pipeline stage MKMLizer completed in 125.33s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v221
Waiting for inference service mistralai-mistral-nemo-9330-v221 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-v221 ready after 291.6621165275574s
Pipeline stage MKMLDeployer completed in 292.18s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8485848903656006s
Received healthy response to inference request in 1.2871315479278564s
Received healthy response to inference request in 0.7645351886749268s
Received healthy response to inference request in 1.057530403137207s
Received healthy response to inference request in 1.1724090576171875s
5 requests
0 failed requests
5th percentile: 0.8231342315673829
10th percentile: 0.8817332744598388
20th percentile: 0.9989313602447509
30th percentile: 1.0805061340332032
40th percentile: 1.1264575958251952
50th percentile: 1.1724090576171875
60th percentile: 1.2182980537414552
70th percentile: 1.2641870498657226
80th percentile: 1.3994222164154053
90th percentile: 1.624003553390503
95th percentile: 1.7362942218780517
99th percentile: 1.8261267566680908
mean time: 1.2260382175445557
Pipeline stage StressChecker completed in 7.72s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.99s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.62s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v221 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2573.99s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v221 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v221 status is now torndown due to DeploymentManager action
mistralai-mistral-nemo_9330_v221 status is now torndown due to DeploymentManager action
mistralai-mistral-nemo_9330_v221 status is now torndown due to DeploymentManager action