developer_uid: chai_backend_admin
submission_id: zonemercy-virgo-edit-v3-1e5b1_v3
model_name: 0919v1-5
model_group: zonemercy/Virgo-Edit-v3-
status: torndown
timestamp: 2024-09-19T13:54:00+00:00
num_battles: 12533
num_wins: 6390
celo_rating: 1254.81
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Virgo-Edit-v3-1e5b1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6122987397636671, 'latency_mean': 1.6330927324295044, 'latency_p50': 1.619560718536377, 'latency_p90': 1.8133416175842285}, {'batch_size': 3, 'throughput': 1.0701446449272358, 'latency_mean': 2.8003032648563386, 'latency_p50': 2.7783652544021606, 'latency_p90': 3.127128505706787}, {'batch_size': 5, 'throughput': 1.2242697273651146, 'latency_mean': 4.06868044257164, 'latency_p50': 4.082899570465088, 'latency_p90': 4.571629667282105}, {'batch_size': 6, 'throughput': 1.2323784654134349, 'latency_mean': 4.843078491687774, 'latency_p50': 4.8742356300354, 'latency_p90': 5.466244888305664}, {'batch_size': 8, 'throughput': 1.2343710746758414, 'latency_mean': 6.4598425054550175, 'latency_p50': 6.463479161262512, 'latency_p90': 7.25773298740387}, {'batch_size': 10, 'throughput': 1.196366009266886, 'latency_mean': 8.315653518438339, 'latency_p50': 8.347555160522461, 'latency_p90': 9.382193851470948}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0919v1-5
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v3-1e5b1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.19
us_pacific_date: 2024-09-19
win_ratio: 0.5098539854783372
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}
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}
Resubmit model
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-v3-1e5b1-v3-mkmlizer
Waiting for job on zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer to finish
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ _____ __ __ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: Downloaded to shared memory in 59.375s
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpemj77x3r, device:0
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: quantized model in 43.501s
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: Processed model zonemercy/Virgo-Edit-v3-1e5b1 in 102.876s
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5b1-v3/tokenizer_config.json
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5b1-v3/tokenizer.json
zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5b1-v3/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer completed after 124.63s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v3-1e5b1-v3-mkmlizer
Pipeline stage MKMLizer completed in 125.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.57s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v3-1e5b1-v3
Waiting for inference service zonemercy-virgo-edit-v3-1e5b1-v3 to be ready
Inference service zonemercy-virgo-edit-v3-1e5b1-v3 ready after 201.58802342414856s
Pipeline stage MKMLDeployer completed in 201.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3228955268859863s
Received healthy response to inference request in 1.8665733337402344s
Received healthy response to inference request in 1.9603822231292725s
Received healthy response to inference request in 1.5869088172912598s
Received healthy response to inference request in 1.7183313369750977s
5 requests
0 failed requests
5th percentile: 1.6131933212280274
10th percentile: 1.639477825164795
20th percentile: 1.69204683303833
30th percentile: 1.747979736328125
40th percentile: 1.8072765350341797
50th percentile: 1.8665733337402344
60th percentile: 1.9040968894958497
70th percentile: 1.941620445251465
80th percentile: 2.0328848838806155
90th percentile: 2.1778902053833007
95th percentile: 2.2503928661346433
99th percentile: 2.3083949947357176
mean time: 1.8910182476043702
Pipeline stage StressChecker completed in 10.19s
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Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.15s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e5b1_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
Pipeline stage MKMLProfilerDeleter completed in 0.12s
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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-v3-1e5b1-v3-profiler
Waiting for inference service zonemercy-virgo-edit-v3-1e5b1-v3-profiler to be ready
Inference service zonemercy-virgo-edit-v3-1e5b1-v3-profiler ready after 200.4459536075592s
Pipeline stage MKMLProfilerDeployer completed in 200.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit389dab64458eefe3ffe2890013cef1f3-deplokdlqz:/code/chaiverse_profiler_1726754626 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit389dab64458eefe3ffe2890013cef1f3-deplokdlqz --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726754626 && 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_1726754626/summary.json'
kubectl exec -it zonemercy-virgo-edit389dab64458eefe3ffe2890013cef1f3-deplokdlqz --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726754626/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1174.90s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v3-1e5b1-v3-profiler is running
Tearing down inference service zonemercy-virgo-edit-v3-1e5b1-v3-profiler
Service zonemercy-virgo-edit-v3-1e5b1-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.93s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e5b1_v3 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v3-1e5b1_v3 status is now torndown due to DeploymentManager action