developer_uid: huohuo12
submission_id: mistralai-mistral-nem_93303_v415
model_name: mistralai-mistral-nem_93303_v415
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-02-20T06:06:43+00:00
num_battles: 5536
num_wins: 2729
celo_rating: 1244.19
family_friendly_score: 0.6008
family_friendly_standard_error: 0.006925884203479005
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': 0.5871867918620474, 'latency_mean': 1.7029433095455169, 'latency_p50': 1.709136962890625, 'latency_p90': 1.8753293991088866}, {'batch_size': 3, 'throughput': 1.0624616809132899, 'latency_mean': 2.811311836242676, 'latency_p50': 2.8155558109283447, 'latency_p90': 3.1173532009124756}, {'batch_size': 5, 'throughput': 1.2659244350797978, 'latency_mean': 3.931099566221237, 'latency_p50': 3.910750389099121, 'latency_p90': 4.338847732543945}, {'batch_size': 6, 'throughput': 1.3391767762249442, 'latency_mean': 4.448534809350967, 'latency_p50': 4.502722263336182, 'latency_p90': 5.0154670715332035}, {'batch_size': 8, 'throughput': 1.3782106345270386, 'latency_mean': 5.765394201278687, 'latency_p50': 5.732472896575928, 'latency_p90': 6.539677429199219}, {'batch_size': 10, 'throughput': 1.421222633499987, 'latency_mean': 6.970643974542618, 'latency_p50': 6.97357451915741, 'latency_p90': 7.852202987670898}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v415
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-02-19
win_ratio: 0.49295520231213874
generation_params: {'temperature': 1.05, 'top_p': 0.85, 'min_p': 0.03, 'top_k': 40, 'presence_penalty': 0.6, 'frequency_penalty': 0.3, '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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v415-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v415-mkmlizer to finish
mistralai-mistral-nem-93303-v415-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v415-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ Version: 0.12.8 ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v415-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v415-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v415-mkmlizer: Downloaded to shared memory in 55.885s
mistralai-mistral-nem-93303-v415-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmph66fc_tm, device:0
mistralai-mistral-nem-93303-v415-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v415-mkmlizer: quantized model in 38.791s
mistralai-mistral-nem-93303-v415-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 94.677s
mistralai-mistral-nem-93303-v415-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v415-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v415-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415
mistralai-mistral-nem-93303-v415-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415/config.json
mistralai-mistral-nem-93303-v415-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415/special_tokens_map.json
mistralai-mistral-nem-93303-v415-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415/tokenizer_config.json
mistralai-mistral-nem-93303-v415-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415/tokenizer.json
mistralai-mistral-nem-93303-v415-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v415/flywheel_model.0.safetensors
Job mistralai-mistral-nem-93303-v415-mkmlizer completed after 124.65s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v415-mkmlizer
Pipeline stage MKMLizer completed in 125.10s
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Creating inference service mistralai-mistral-nem-93303-v415
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Inference service mistralai-mistral-nem-93303-v415 ready after 200.69027829170227s
Pipeline stage MKMLDeployer completed in 201.22s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.193010091781616s
Received healthy response to inference request in 1.9333384037017822s
Received healthy response to inference request in 1.4610965251922607s
Received healthy response to inference request in 1.4986724853515625s
Received healthy response to inference request in 1.6137111186981201s
5 requests
0 failed requests
5th percentile: 1.468611717224121
10th percentile: 1.4761269092559814
20th percentile: 1.4911572933197021
30th percentile: 1.5216802120208741
40th percentile: 1.5676956653594971
50th percentile: 1.6137111186981201
60th percentile: 1.7415620326995849
70th percentile: 1.8694129467010498
80th percentile: 1.9852727413177491
90th percentile: 2.0891414165496824
95th percentile: 2.1410757541656493
99th percentile: 2.182623224258423
mean time: 1.7399657249450684
Pipeline stage StressChecker completed in 10.01s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v415 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2568.01s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v415 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v415 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v415 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v415 status is now torndown due to DeploymentManager action
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