developer_uid: azuruce
submission_id: zonemercy-virgo-edit-v1-1e5_v16
model_name: zonemercy-virgo-edit-v1-1e5_v16
model_group: zonemercy/Virgo-Edit-v1-
status: torndown
timestamp: 2024-09-20T16:50:20+00:00
num_battles: 10994
num_wins: 5529
celo_rating: 1249.46
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Virgo-Edit-v1-1e5
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3622972653837472, 'latency_mean': 2.7601044571399687, 'latency_p50': 1.8397390842437744, 'latency_p90': 5.635595679283142}, {'batch_size': 3, 'throughput': 1.0421054927455267, 'latency_mean': 2.873472174406052, 'latency_p50': 2.8675347566604614, 'latency_p90': 3.152751922607422}, {'batch_size': 5, 'throughput': 1.189435766189633, 'latency_mean': 4.184348827600479, 'latency_p50': 4.18540894985199, 'latency_p90': 4.639602851867676}, {'batch_size': 6, 'throughput': 1.2090519145420275, 'latency_mean': 4.9422799324989315, 'latency_p50': 4.966459512710571, 'latency_p90': 5.55357813835144}, {'batch_size': 8, 'throughput': 1.2046887424583934, 'latency_mean': 6.597710008621216, 'latency_p50': 6.61012601852417, 'latency_p90': 7.545409417152404}, {'batch_size': 10, 'throughput': 1.174349678481939, 'latency_mean': 8.466896917819977, 'latency_p50': 8.520503163337708, 'latency_p90': 9.651254558563233}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: zonemercy-virgo-edit-v1-1e5_v16
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v1-1e5
model_size: 13B
ranking_group: single
throughput_3p7s: 1.15
us_pacific_date: 2024-09-20
win_ratio: 0.5029106785519374
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], '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-v1-1e5-v16-mkmlizer
Waiting for job on zonemercy-virgo-edit-v1-1e5-v16-mkmlizer to finish
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ _____ __ __ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: Downloaded to shared memory in 55.841s
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbkhe6s4n, device:0
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: quantized model in 40.682s
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: Processed model zonemercy/Virgo-Edit-v1-1e5 in 96.523s
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16/config.json
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16/special_tokens_map.json
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16/tokenizer_config.json
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16/tokenizer.json
zonemercy-virgo-edit-v1-1e5-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v16/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v1-1e5-v16-mkmlizer completed after 114.39s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v1-1e5-v16-mkmlizer
Pipeline stage MKMLizer completed in 115.40s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.35s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v1-1e5-v16
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v16 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service zonemercy-virgo-edit-v1-1e5-v16 ready after 201.1599805355072s
Pipeline stage MKMLDeployer completed in 201.67s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1034066677093506s
Received healthy response to inference request in 2.0827980041503906s
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Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 3.149515151977539s
Received healthy response to inference request in 0.8335397243499756s
Received healthy response to inference request in 1.9266629219055176s
5 requests
0 failed requests
5th percentile: 1.052164363861084
10th percentile: 1.2707890033721925
20th percentile: 1.7080382823944091
30th percentile: 1.957889938354492
40th percentile: 2.0203439712524416
50th percentile: 2.0827980041503906
60th percentile: 2.0910414695739745
70th percentile: 2.0992849349975584
80th percentile: 2.3126283645629884
90th percentile: 2.731071758270264
95th percentile: 2.9402934551239013
99th percentile: 3.1076708126068113
mean time: 2.0191844940185546
Pipeline stage StressChecker completed in 10.91s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.06s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v16 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-v1-1e5-v16-profiler
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v16-profiler to be ready
Inference service zonemercy-virgo-edit-v1-1e5-v16-profiler ready after 230.54385232925415s
Pipeline stage MKMLProfilerDeployer completed in 231.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5:/code/chaiverse_profiler_1726851641 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726851641 && 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_1726851641/summary.json'
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726851641/summary.json'
%s, retrying in %s seconds...
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5:/code/chaiverse_profiler_1726852219 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726852219 && 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_1726852219/summary.json'
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726852219/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5:/code/chaiverse_profiler_1726853285 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726853285 && 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_1726853285/summary.json'
kubectl exec -it zonemercy-virgo-edit3fe0cec41b5f18addf019b1e35add416-deplofl9t5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726853285/summary.json'
Pipeline stage MKMLProfilerRunner completed in 3063.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v1-1e5-v16-profiler is running
Tearing down inference service zonemercy-virgo-edit-v1-1e5-v16-profiler
Service zonemercy-virgo-edit-v1-1e5-v16-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.08s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v16 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v1-1e5_v16 status is now torndown due to DeploymentManager action