submission_id: mistralai-mistral-nemo_9330_v174
developer_uid: end_to_end_test
best_of: 8
celo_rating: 1248.95
display_name: mistralai-mistral-nemo_9330_v174
family_friendly_score: 0.5933466566741611
family_friendly_standard_error: 0.005467464836934234
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}
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
ineligible_reason: model is only for e2e test
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo_9330_v174
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 8428
num_wins: 4178
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-18T15:13:16+00:00
us_pacific_date: 2024-10-18
win_ratio: 0.49572852396772665
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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-v174-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v174-mkmlizer to finish
mistralai-mistral-nemo-9330-v174-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v174-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v174-mkmlizer: Downloaded to shared memory in 49.290s
mistralai-mistral-nemo-9330-v174-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa6r_smj4, device:0
mistralai-mistral-nemo-9330-v174-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v174-mkmlizer: quantized model in 36.391s
mistralai-mistral-nemo-9330-v174-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.682s
mistralai-mistral-nemo-9330-v174-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v174-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v174-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174
mistralai-mistral-nemo-9330-v174-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174/config.json
mistralai-mistral-nemo-9330-v174-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174/special_tokens_map.json
mistralai-mistral-nemo-9330-v174-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174/tokenizer_config.json
mistralai-mistral-nemo-9330-v174-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174/tokenizer.json
mistralai-mistral-nemo-9330-v174-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v174/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v174-mkmlizer completed after 114.57s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v174-mkmlizer
Pipeline stage MKMLizer completed in 115.11s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v174
Waiting for inference service mistralai-mistral-nemo-9330-v174 to be ready
Inference service mistralai-mistral-nemo-9330-v174 ready after 170.58629488945007s
Pipeline stage MKMLDeployer completed in 171.05s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.1690289974212646s
Received healthy response to inference request in 2.122843027114868s
Received healthy response to inference request in 1.7001359462738037s
Received healthy response to inference request in 1.2349660396575928s
5 requests
1 failed requests
5th percentile: 1.328000020980835
10th percentile: 1.421034002304077
20th percentile: 1.6071019649505616
30th percentile: 1.7846773624420167
40th percentile: 1.9537601947784424
50th percentile: 2.122843027114868
60th percentile: 2.1413174152374266
70th percentile: 2.1597918033599854
80th percentile: 5.766873598098758
90th percentile: 12.962562799453737
95th percentile: 16.560407400131222
99th percentile: 19.43868308067322
mean time: 5.477045202255249
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6554336547851562s
Received healthy response to inference request in 1.7613186836242676s
Received healthy response to inference request in 1.6691679954528809s
Received healthy response to inference request in 1.6372461318969727s
Received healthy response to inference request in 1.8374426364898682s
5 requests
0 failed requests
5th percentile: 1.6408836364746093
10th percentile: 1.644521141052246
20th percentile: 1.6517961502075196
30th percentile: 1.6581805229187012
40th percentile: 1.663674259185791
50th percentile: 1.6691679954528809
60th percentile: 1.7060282707214356
70th percentile: 1.7428885459899903
80th percentile: 1.7765434741973878
90th percentile: 1.806993055343628
95th percentile: 1.822217845916748
99th percentile: 1.834397678375244
mean time: 1.7121218204498292
Pipeline stage StressChecker completed in 39.19s
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v174 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo_9330_v174 status is now inactive due to auto deactivation removed underperforming models