submission_id: cycy233-nemo-p-e-v2-c3_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1285.37
display_name: auto
family_friendly_score: 0.0
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': 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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-e-v2-c3
latencies: [{'batch_size': 1, 'throughput': 0.6171174300482158, 'latency_mean': 1.6203763234615325, 'latency_p50': 1.6287212371826172, 'latency_p90': 1.7835916996002197}, {'batch_size': 3, 'throughput': 1.0881495536501335, 'latency_mean': 2.74827498793602, 'latency_p50': 2.7275803089141846, 'latency_p90': 3.0210216283798217}, {'batch_size': 5, 'throughput': 1.2368451723581972, 'latency_mean': 4.026583781242371, 'latency_p50': 4.031290173530579, 'latency_p90': 4.549339461326599}, {'batch_size': 6, 'throughput': 1.272199475603959, 'latency_mean': 4.694179294109344, 'latency_p50': 4.727122068405151, 'latency_p90': 5.210033297538757}, {'batch_size': 8, 'throughput': 1.2471882185080774, 'latency_mean': 6.389208070039749, 'latency_p50': 6.440608859062195, 'latency_p90': 7.16884081363678}, {'batch_size': 10, 'throughput': 1.2122870252569324, 'latency_mean': 8.207010726928711, 'latency_p50': 8.231915354728699, 'latency_p90': 9.355520176887513}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v2-c3
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v2-c3
model_size: 13B
num_battles: 64255
num_wins: 35795
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-23T06:38:59+00:00
us_pacific_date: 2024-09-22
win_ratio: 0.5570772702513423
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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 cycy233-nemo-p-e-v2-c3-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v2-c3-v1-mkmlizer to finish
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ /___/ ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ ║
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cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-nemo-p-e-v2-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v2-c3-v1-mkmlizer: Downloaded to shared memory in 48.015s
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplyckl31v, device:0
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: quantized model in 37.345s
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: Processed model cycy233/nemo-p-e-v2-c3 in 85.361s
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1/config.json
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1/special_tokens_map.json
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1/tokenizer_config.json
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1/tokenizer.json
cycy233-nemo-p-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v2-c3-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v2-c3-v1-mkmlizer completed after 116.9s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v2-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.57s
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Inference service cycy233-nemo-p-e-v2-c3-v1 ready after 193.384108543396s
Pipeline stage MKMLDeployer completed in 194.12s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.894627094268799s
Received healthy response to inference request in 2.4144577980041504s
Received healthy response to inference request in 2.0077929496765137s
Received healthy response to inference request in 2.000509262084961s
Received healthy response to inference request in 1.9945437908172607s
5 requests
0 failed requests
5th percentile: 1.9957368850708008
10th percentile: 1.996929979324341
20th percentile: 1.9993161678314209
30th percentile: 2.0019659996032715
40th percentile: 2.0048794746398926
50th percentile: 2.0077929496765137
60th percentile: 2.1704588890075684
70th percentile: 2.333124828338623
80th percentile: 2.5104916572570803
90th percentile: 2.7025593757629394
95th percentile: 2.798593235015869
99th percentile: 2.8754203224182127
mean time: 2.262386178970337
Pipeline stage StressChecker completed in 13.42s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.91s
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Inference service cycy233-nemo-p-e-v2-c3-v1-profiler ready after 200.53593921661377s
Pipeline stage MKMLProfilerDeployer completed in 200.90s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v2-c3-v1-profiler-predictor-00001-deploymbqjfb:/code/chaiverse_profiler_1727074110 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v2-c3-v1-profiler-predictor-00001-deploymbqjfb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727074110 && 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_1727074110/summary.json'
kubectl exec -it cycy233-nemo-p-e-v2-c3-v1-profiler-predictor-00001-deploymbqjfb --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727074110/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1156.42s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-nemo-p-e-v2-c3-v1-profiler is running
Tearing down inference service cycy233-nemo-p-e-v2-c3-v1-profiler
Service cycy233-nemo-p-e-v2-c3-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.86s
Shutdown handler de-registered
cycy233-nemo-p-e-v2-c3_v1 status is now inactive due to auto deactivation removed underperforming models
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cycy233-nemo-p-e-v1-c2_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-v1-c1_v1 status is now torndown due to DeploymentManager action
Pipeline stage MKMLizer completed in 139.69s