developer_uid: shiroe40
submission_id: cycy233-nemo-p-e-v1-c3_v1
model_name: auto
model_group: cycy233/nemo-p-e-v1-c3
status: torndown
timestamp: 2024-09-23T06:38:07+00:00
num_battles: 64641
num_wins: 33964
celo_rating: 1263.48
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/nemo-p-e-v1-c3
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6155846563010595, 'latency_mean': 1.624373379945755, 'latency_p50': 1.6229028701782227, 'latency_p90': 1.7857540845870972}, {'batch_size': 3, 'throughput': 1.0727448516656457, 'latency_mean': 2.787091611623764, 'latency_p50': 2.808196783065796, 'latency_p90': 3.0717400789260862}, {'batch_size': 5, 'throughput': 1.2243535031867678, 'latency_mean': 4.068292338848114, 'latency_p50': 4.091710329055786, 'latency_p90': 4.505200362205505}, {'batch_size': 6, 'throughput': 1.2469159813975343, 'latency_mean': 4.785473554134369, 'latency_p50': 4.767965793609619, 'latency_p90': 5.360003876686096}, {'batch_size': 8, 'throughput': 1.2373261766429569, 'latency_mean': 6.430367133617401, 'latency_p50': 6.440223336219788, 'latency_p90': 7.3214757442474365}, {'batch_size': 10, 'throughput': 1.1895169575416615, 'latency_mean': 8.352566895484925, 'latency_p50': 8.447237014770508, 'latency_p90': 9.472878980636596}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/nemo-p-e-v1-c3
model_size: 13B
ranking_group: single
throughput_3p7s: 1.2
us_pacific_date: 2024-09-22
win_ratio: 0.5254250398353986
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], '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 cycy233-nemo-p-e-v1-c3-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v1-c3-v1-mkmlizer to finish
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ _____ __ __ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ /___/ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ belonging to: ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Downloaded to shared memory in 49.214s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps4c12usw, device:0
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: quantized model in 38.808s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Processed model cycy233/nemo-p-e-v1-c3 in 88.023s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/config.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/special_tokens_map.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/tokenizer_config.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/tokenizer.json
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Job cycy233-nemo-p-e-v1-c3-v1-mkmlizer completed after 126.15s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v1-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 127.78s
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Pipeline stage MKMLTemplater completed in 0.09s
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Creating inference service cycy233-nemo-p-e-v1-c3-v1
Waiting for inference service cycy233-nemo-p-e-v1-c3-v1 to be ready
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Inference service cycy233-nemo-p-e-v1-c3-v1 ready after 191.20775175094604s
Pipeline stage MKMLDeployer completed in 191.57s
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Running pipeline stage StressChecker
Received healthy response to inference request in 6.573538541793823s
Received healthy response to inference request in 1.7853705883026123s
Received healthy response to inference request in 1.989959716796875s
Received healthy response to inference request in 1.8729212284088135s
Received healthy response to inference request in 3.0607097148895264s
5 requests
0 failed requests
5th percentile: 1.8028807163238525
10th percentile: 1.8203908443450927
20th percentile: 1.8554111003875733
30th percentile: 1.8963289260864258
40th percentile: 1.9431443214416504
50th percentile: 1.989959716796875
60th percentile: 2.4182597160339356
70th percentile: 2.846559715270996
80th percentile: 3.7632754802703863
90th percentile: 5.168407011032105
95th percentile: 5.870972776412963
99th percentile: 6.433025388717652
mean time: 3.05649995803833
Pipeline stage StressChecker completed in 16.83s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 3.92s
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Creating inference service cycy233-nemo-p-e-v1-c3-v1-profiler
Waiting for inference service cycy233-nemo-p-e-v1-c3-v1-profiler to be ready
Inference service cycy233-nemo-p-e-v1-c3-v1-profiler ready after 190.46017837524414s
Pipeline stage MKMLProfilerDeployer completed in 190.83s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4:/code/chaiverse_profiler_1727074064 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727074064 && 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_1727074064/summary.json'
kubectl exec -it cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727074064/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1169.83s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-nemo-p-e-v1-c3-v1-profiler is running
Tearing down inference service cycy233-nemo-p-e-v1-c3-v1-profiler
Service cycy233-nemo-p-e-v1-c3-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.86s
Shutdown handler de-registered
cycy233-nemo-p-e-v1-c3_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-nemo-p-e-v2-c4_v1 status is now torndown due to DeploymentManager action
Running pipeline stage StressChecker
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cycy233-nemo-p-e-v2-c3_v1 status is now torndown due to DeploymentManager action
cycy233-nemo-p-e-v1-c3_v1 status is now torndown due to DeploymentManager action
cycy233-nemo-p-e-v2-c1_v1 status is now torndown due to DeploymentManager action
cycy233-nemo-p-e-v1-c4_v1 status is now torndown due to DeploymentManager action