developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v254
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-07T06:46:05+00:00
num_battles: 7393
num_wins: 3286
celo_rating: 1236.28
family_friendly_score: 0.5946
family_friendly_standard_error: 0.006943354232645775
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': 0.6403708270438522, 'latency_mean': 1.5615244090557099, 'latency_p50': 1.5629525184631348, 'latency_p90': 1.7372811794281007}, {'batch_size': 4, 'throughput': 1.4905095811719868, 'latency_mean': 2.667026005983353, 'latency_p50': 2.672954559326172, 'latency_p90': 2.8983822584152223}, {'batch_size': 5, 'throughput': 1.625596232573575, 'latency_mean': 3.0640903866291045, 'latency_p50': 3.080397605895996, 'latency_p90': 3.4783349990844727}, {'batch_size': 8, 'throughput': 1.9022229276656895, 'latency_mean': 4.176974533796311, 'latency_p50': 4.164522171020508, 'latency_p90': 4.72816162109375}, {'batch_size': 10, 'throughput': 1.9904491277626566, 'latency_mean': 4.980516440868378, 'latency_p50': 4.98053240776062, 'latency_p90': 5.654739737510681}, {'batch_size': 12, 'throughput': 2.045141211141534, 'latency_mean': 5.817267175912857, 'latency_p50': 5.79633092880249, 'latency_p90': 6.544102835655212}, {'batch_size': 15, 'throughput': 2.105546170389762, 'latency_mean': 7.054289820194245, 'latency_p50': 7.088009595870972, 'latency_p90': 7.997927737236022}]
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: 1.81
us_pacific_date: 2025-01-06
win_ratio: 0.4444745029081564
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': ['<|eot_id|>', 'You:', '####', '\n', 'User:', '</s>', 'Bot:', '<|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-nem-93303-v254-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v254-mkmlizer to finish
mistralai-mistral-nem-93303-v254-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v254-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v254-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v254-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v254-mkmlizer: Downloaded to shared memory in 57.397s
mistralai-mistral-nem-93303-v254-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2bwvhmun, device:0
mistralai-mistral-nem-93303-v254-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v254-mkmlizer: quantized model in 36.094s
mistralai-mistral-nem-93303-v254-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 93.491s
mistralai-mistral-nem-93303-v254-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v254-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v254-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254
mistralai-mistral-nem-93303-v254-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254/config.json
mistralai-mistral-nem-93303-v254-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254/special_tokens_map.json
mistralai-mistral-nem-93303-v254-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254/tokenizer_config.json
mistralai-mistral-nem-93303-v254-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254/tokenizer.json
mistralai-mistral-nem-93303-v254-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v254/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v254-mkmlizer completed after 114.38s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v254-mkmlizer
Pipeline stage MKMLizer completed in 114.88s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Creating inference service mistralai-mistral-nem-93303-v254
Waiting for inference service mistralai-mistral-nem-93303-v254 to be ready
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Inference service mistralai-mistral-nem-93303-v254 ready after 351.94975686073303s
Pipeline stage MKMLDeployer completed in 352.47s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7936911582946777s
Received healthy response to inference request in 0.7915990352630615s
Received healthy response to inference request in 1.3469195365905762s
Received healthy response to inference request in 1.3940801620483398s
Received healthy response to inference request in 1.3056132793426514s
5 requests
0 failed requests
5th percentile: 0.8944018840789795
10th percentile: 0.9972047328948974
20th percentile: 1.2028104305267333
30th percentile: 1.3138745307922364
40th percentile: 1.3303970336914062
50th percentile: 1.3469195365905762
60th percentile: 1.3657837867736817
70th percentile: 1.384648036956787
80th percentile: 1.4740023612976074
90th percentile: 1.6338467597961426
95th percentile: 1.7137689590454102
99th percentile: 1.7777067184448243
mean time: 1.3263806343078612
Pipeline stage StressChecker completed in 7.96s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2446.43s
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mistralai-mistral-nem_93303_v254 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v254 status is now torndown due to DeploymentManager action