developer_uid: udbhavbamba
submission_id: mistralai-mistral-nem_93303_v457
model_name: mistralai-mistral-nem_93303_v457
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-03-22T08:08:53+00:00
num_battles: 10807
num_wins: 4949
celo_rating: 1249.17
family_friendly_score: 0.5982000000000001
family_friendly_standard_error: 0.0069333507051064424
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': 0.6060547067359984, 'latency_mean': 1.6499432218074799, 'latency_p50': 1.6420037746429443, 'latency_p90': 1.815199875831604}, {'batch_size': 3, 'throughput': 1.111952527988841, 'latency_mean': 2.691100779771805, 'latency_p50': 2.6936269998550415, 'latency_p90': 2.965106749534607}, {'batch_size': 5, 'throughput': 1.3595510216608737, 'latency_mean': 3.6533799922466277, 'latency_p50': 3.6757320165634155, 'latency_p90': 4.1282833337783815}, {'batch_size': 6, 'throughput': 1.4043409465495382, 'latency_mean': 4.237795135974884, 'latency_p50': 4.264978289604187, 'latency_p90': 4.695468950271606}, {'batch_size': 8, 'throughput': 1.478220221378871, 'latency_mean': 5.374721103906632, 'latency_p50': 5.323811054229736, 'latency_p90': 6.092205452919006}, {'batch_size': 10, 'throughput': 1.5227992055739517, 'latency_mean': 6.518314168453217, 'latency_p50': 6.5300452709198, 'latency_p90': 7.356530499458313}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v457
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2025-03-22
win_ratio: 0.45794392523364486
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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-v457-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v457-mkmlizer to finish
mistralai-mistral-nem-93303-v457-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v457-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ Version: 0.12.8 ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v457-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v457-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v457-mkmlizer: Downloaded to shared memory in 61.882s
mistralai-mistral-nem-93303-v457-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1al8_525, device:0
mistralai-mistral-nem-93303-v457-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v457-mkmlizer: quantized model in 37.500s
mistralai-mistral-nem-93303-v457-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 99.382s
mistralai-mistral-nem-93303-v457-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v457-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v457-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457
mistralai-mistral-nem-93303-v457-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457/config.json
mistralai-mistral-nem-93303-v457-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457/special_tokens_map.json
mistralai-mistral-nem-93303-v457-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457/tokenizer_config.json
mistralai-mistral-nem-93303-v457-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457/tokenizer.json
mistralai-mistral-nem-93303-v457-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v457/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v457-mkmlizer completed after 125.1s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v457-mkmlizer
Pipeline stage MKMLizer completed in 125.61s
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Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nem-93303-v457
Waiting for inference service mistralai-mistral-nem-93303-v457 to be ready
Inference service mistralai-mistral-nem-93303-v457 ready after 80.38476276397705s
Pipeline stage MKMLDeployer completed in 80.98s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1693694591522217s
Received healthy response to inference request in 1.4530048370361328s
Received healthy response to inference request in 1.5407686233520508s
Received healthy response to inference request in 1.515760898590088s
Received healthy response to inference request in 1.3682682514190674s
5 requests
0 failed requests
5th percentile: 1.3852155685424805
10th percentile: 1.4021628856658936
20th percentile: 1.4360575199127197
30th percentile: 1.4655560493469237
40th percentile: 1.4906584739685058
50th percentile: 1.515760898590088
60th percentile: 1.525763988494873
70th percentile: 1.5357670783996582
80th percentile: 1.666488790512085
90th percentile: 1.9179291248321535
95th percentile: 2.0436492919921876
99th percentile: 2.1442254257202147
mean time: 1.6094344139099122
Pipeline stage StressChecker completed in 9.61s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.71s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v457 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 2457.82s
Shutdown handler de-registered
mistralai-mistral-nem_93303_v457 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nem_93303_v457 status is now torndown due to DeploymentManager action