submission_id: zonemercy-virgo-edit-v4-1e5_v3
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1240.95
display_name: 0919v1-2
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v4-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6176580043761932, 'latency_mean': 1.6189382255077363, 'latency_p50': 1.6121723651885986, 'latency_p90': 1.7879962921142578}, {'batch_size': 3, 'throughput': 1.080495405034927, 'latency_mean': 2.772849198579788, 'latency_p50': 2.7665966749191284, 'latency_p90': 3.172821378707886}, {'batch_size': 5, 'throughput': 1.2370572678662908, 'latency_mean': 4.020853182077408, 'latency_p50': 4.026658773422241, 'latency_p90': 4.61095712184906}, {'batch_size': 6, 'throughput': 1.24758230963881, 'latency_mean': 4.787155917882919, 'latency_p50': 4.8500834703445435, 'latency_p90': 5.364842343330383}, {'batch_size': 8, 'throughput': 1.2429175300765094, 'latency_mean': 6.4088472604751585, 'latency_p50': 6.404708623886108, 'latency_p90': 7.233615446090698}, {'batch_size': 10, 'throughput': 1.1969264158647108, 'latency_mean': 8.307608808279037, 'latency_p50': 8.31667947769165, 'latency_p90': 9.372694301605224}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v4-
model_name: 0919v1-2
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v4-1e5
model_size: 13B
num_battles: 13936
num_wins: 6811
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-19T13:53:01+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4887342135476464
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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 zonemercy-virgo-edit-v4-1e5-v3-mkmlizer
Waiting for job on zonemercy-virgo-edit-v4-1e5-v3-mkmlizer to finish
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ _____ __ __ ║
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zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ The license key for the current software has been verified as ║
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zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: Downloaded to shared memory in 87.326s
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6ldocc1f, device:0
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: quantized model in 41.908s
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: Processed model zonemercy/Virgo-Edit-v4-1e5 in 129.234s
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3/special_tokens_map.json
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3/config.json
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3/tokenizer_config.json
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3/tokenizer.json
zonemercy-virgo-edit-v4-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v4-1e5-v3/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v4-1e5-v3-mkmlizer completed after 157.14s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v4-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 157.99s
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Pipeline stage MKMLTemplater completed in 0.13s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v4-1e5-v3
Waiting for inference service zonemercy-virgo-edit-v4-1e5-v3 to be ready
Failed to get response for submission blend_nefuf_2024-09-18: ('http://chaiml-lexical-nemo-v4-1k1e5-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:41148->127.0.0.1:8080: read: connection reset by peer\n')
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Inference service zonemercy-virgo-edit-v4-1e5-v3 ready after 201.05488967895508s
Pipeline stage MKMLDeployer completed in 201.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0858092308044434s
Received healthy response to inference request in 1.5074598789215088s
Received healthy response to inference request in 1.910094976425171s
Received healthy response to inference request in 2.3055434226989746s
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Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 1.7276360988616943s
5 requests
0 failed requests
5th percentile: 1.551495122909546
10th percentile: 1.595530366897583
20th percentile: 1.6836008548736572
30th percentile: 1.7641278743743896
40th percentile: 1.8371114253997802
50th percentile: 1.910094976425171
60th percentile: 1.9803806781768798
70th percentile: 2.0506663799285887
80th percentile: 2.1297560691833497
90th percentile: 2.217649745941162
95th percentile: 2.2615965843200683
99th percentile: 2.2967540550231935
mean time: 1.9073087215423583
Pipeline stage StressChecker completed in 10.71s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.36s
Shutdown handler de-registered
zonemercy-virgo-edit-v4-1e5_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-virgo-edit-v4-1e5-v3-profiler
Waiting for inference service zonemercy-virgo-edit-v4-1e5-v3-profiler to be ready
Inference service zonemercy-virgo-edit-v4-1e5-v3-profiler ready after 200.48217248916626s
Pipeline stage MKMLProfilerDeployer completed in 200.88s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit71bb785d2f11250f36956f2f00bfe9bf-deploqssh6:/code/chaiverse_profiler_1726754604 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit71bb785d2f11250f36956f2f00bfe9bf-deploqssh6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726754604 && 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_1726754604/summary.json'
kubectl exec -it zonemercy-virgo-edit71bb785d2f11250f36956f2f00bfe9bf-deploqssh6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726754604/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1164.44s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v4-1e5-v3-profiler is running
Tearing down inference service zonemercy-virgo-edit-v4-1e5-v3-profiler
Service zonemercy-virgo-edit-v4-1e5-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.26s
Shutdown handler de-registered
zonemercy-virgo-edit-v4-1e5_v3 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v4-1e5_v3 status is now torndown due to DeploymentManager action