mistralai-mistral-nemo_9330

submission_id: mistralai-mistral-nemo_9330_v114
developer_uid: immaculate_possum_03470
best_of: 8
celo_rating: 1253.07
display_name: nemo_base_1
family_friendly_score: 0.5775571810054569
family_friendly_standard_error: 0.009207214592500224
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': 0.075, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
latencies: [{'batch_size': 1, 'throughput': 0.4481770659122781, 'latency_mean': 2.231193506717682, 'latency_p50': 2.2080034017562866, 'latency_p90': 2.4411258935928344}, {'batch_size': 2, 'throughput': 0.5801501531539686, 'latency_mean': 3.4426135993003846, 'latency_p50': 3.4082295894622803, 'latency_p90': 3.806407833099365}, {'batch_size': 3, 'throughput': 0.6110530694451871, 'latency_mean': 4.8848953521251675, 'latency_p50': 4.877007842063904, 'latency_p90': 5.436817836761475}, {'batch_size': 4, 'throughput': 0.629624931886583, 'latency_mean': 6.344759314060211, 'latency_p50': 6.406880497932434, 'latency_p90': 7.224532651901245}, {'batch_size': 5, 'throughput': 0.5989770963860991, 'latency_mean': 8.326523684263229, 'latency_p50': 8.429320216178894, 'latency_p90': 9.402605366706847}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: nemo_base_1
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 2918
num_wins: 1478
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.59
timestamp: 2024-09-26T20:35:46+00:00
us_pacific_date: 2024-09-26
win_ratio: 0.5065113091158328
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Shutdown handler not registered because Python interpreter is not running in the main thread
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-v114-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v114-mkmlizer to finish
mistralai-mistral-nemo-9330-v114-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v114-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v114-mkmlizer: Downloaded to shared memory in 63.166s
mistralai-mistral-nemo-9330-v114-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp16wwe1f4, device:0
mistralai-mistral-nemo-9330-v114-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v114-mkmlizer: quantized model in 36.523s
mistralai-mistral-nemo-9330-v114-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 99.689s
mistralai-mistral-nemo-9330-v114-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v114-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v114-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/special_tokens_map.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/config.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/tokenizer_config.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/tokenizer.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v114-mkmlizer completed after 123.48s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v114-mkmlizer
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Stopping job with name mistralai-mistral-nemo-9330-v114-mkmlizer
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Starting job with name mistralai-mistral-nemo-9330-v114-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v114-mkmlizer to finish
mistralai-mistral-nemo-9330-v114-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v114-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v114-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v114-mkmlizer: Downloaded to shared memory in 49.766s
mistralai-mistral-nemo-9330-v114-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_cbmoo4j, device:0
mistralai-mistral-nemo-9330-v114-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v114-mkmlizer: quantized model in 35.617s
mistralai-mistral-nemo-9330-v114-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.384s
mistralai-mistral-nemo-9330-v114-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/config.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/special_tokens_map.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/tokenizer_config.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/tokenizer.json
mistralai-mistral-nemo-9330-v114-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v114/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v114-mkmlizer completed after 113.72s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v114-mkmlizer
Pipeline stage MKMLizer completed in 238.36s
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Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v114
Ignoring service mistralai-mistral-nemo-9330-v114 already deployed
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Inference service mistralai-mistral-nemo-9330-v114 ready after 110.2589168548584s
Pipeline stage MKMLDeployer completed in 110.61s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1744189262390137s
Received healthy response to inference request in 2.01926589012146s
Received healthy response to inference request in 1.778135061264038s
Received healthy response to inference request in 1.9579029083251953s
Received healthy response to inference request in 2.242479085922241s
5 requests
0 failed requests
5th percentile: 1.8140886306762696
10th percentile: 1.850042200088501
20th percentile: 1.9219493389129638
30th percentile: 1.9701755046844482
40th percentile: 1.994720697402954
50th percentile: 2.01926589012146
60th percentile: 2.0813271045684814
70th percentile: 2.1433883190155028
80th percentile: 2.188030958175659
90th percentile: 2.21525502204895
95th percentile: 2.2288670539855957
99th percentile: 2.239756679534912
mean time: 2.0344403743743897
Pipeline stage StressChecker completed in 10.92s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.07s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-ne30b74935d7419cb18d4ea9a98d064e33-deplosmv8p:/code/chaiverse_profiler_1727383582 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-ne30b74935d7419cb18d4ea9a98d064e33-deplosmv8p --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727383582 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727383582/summary.json'
kubectl exec -it mistralai-mistral-ne30b74935d7419cb18d4ea9a98d064e33-deplosmv8p --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727383582/summary.json'
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