developer_uid: chai_backend_admin
submission_id: zonemercy-virgo-edit-v3-1e6b1_v1
model_name: 0919v2-1
model_group: zonemercy/Virgo-Edit-v3-
status: torndown
timestamp: 2024-09-19T21:09:48+00:00
num_battles: 13948
num_wins: 7069
celo_rating: 1256.71
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Virgo-Edit-v3-1e6b1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6226465926317124, 'latency_mean': 1.6059867167472839, 'latency_p50': 1.6067906618118286, 'latency_p90': 1.7622466325759887}, {'batch_size': 3, 'throughput': 1.0875844090314586, 'latency_mean': 2.7513751471042633, 'latency_p50': 2.731279730796814, 'latency_p90': 3.046421432495117}, {'batch_size': 5, 'throughput': 1.227693931093015, 'latency_mean': 4.055345101356506, 'latency_p50': 4.091117739677429, 'latency_p90': 4.58586905002594}, {'batch_size': 6, 'throughput': 1.2586324687541592, 'latency_mean': 4.736925455331803, 'latency_p50': 4.774107933044434, 'latency_p90': 5.417175269126892}, {'batch_size': 8, 'throughput': 1.2376430289383211, 'latency_mean': 6.423228478431701, 'latency_p50': 6.449165225028992, 'latency_p90': 7.315393924713134}, {'batch_size': 10, 'throughput': 1.188603027137469, 'latency_mean': 8.35144413113594, 'latency_p50': 8.379242658615112, 'latency_p90': 9.556248307228088}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0919v2-1
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v3-1e6b1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.2
us_pacific_date: 2024-09-19
win_ratio: 0.506811012331517
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-v3-1e6b1-v1-mkmlizer
Waiting for job on zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer to finish
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ _____ __ __ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: Downloaded to shared memory in 102.426s
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1qs66ppq, device:0
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: quantized model in 40.638s
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: Processed model zonemercy/Virgo-Edit-v3-1e6b1 in 143.064s
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1/config.json
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1/special_tokens_map.json
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1/tokenizer_config.json
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1/tokenizer.json
zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e6b1-v1/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer completed after 165.38s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v3-1e6b1-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.02s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v3-1e6b1-v1
Waiting for inference service zonemercy-virgo-edit-v3-1e6b1-v1 to be ready
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Inference service zonemercy-virgo-edit-v3-1e6b1-v1 ready after 200.94999051094055s
Pipeline stage MKMLDeployer completed in 201.35s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.057122230529785s
Received healthy response to inference request in 1.7891976833343506s
Received healthy response to inference request in 1.38444185256958s
Received healthy response to inference request in 1.2713806629180908s
Received healthy response to inference request in 1.4314062595367432s
5 requests
0 failed requests
5th percentile: 1.2939929008483886
10th percentile: 1.3166051387786866
20th percentile: 1.3618296146392823
30th percentile: 1.3938347339630126
40th percentile: 1.4126204967498779
50th percentile: 1.4314062595367432
60th percentile: 1.5745228290557862
70th percentile: 1.717639398574829
80th percentile: 1.8427825927734376
90th percentile: 1.9499524116516114
95th percentile: 2.003537321090698
99th percentile: 2.046405248641968
mean time: 1.58670973777771
Pipeline stage StressChecker completed in 8.52s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.58s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e6b1_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-virgo-edit-v3-1e6b1-v1-profiler
Waiting for inference service zonemercy-virgo-edit-v3-1e6b1-v1-profiler to be ready
Inference service zonemercy-virgo-edit-v3-1e6b1-v1-profiler ready after 200.51316380500793s
Pipeline stage MKMLProfilerDeployer completed in 200.86s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit207cb6e93a380e4daa72e5800e7e297d-deplodt2wj:/code/chaiverse_profiler_1726780825 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit207cb6e93a380e4daa72e5800e7e297d-deplodt2wj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726780825 && 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_1726780825/summary.json'
kubectl exec -it zonemercy-virgo-edit207cb6e93a380e4daa72e5800e7e297d-deplodt2wj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726780825/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1162.75s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v3-1e6b1-v1-profiler is running
Tearing down inference service zonemercy-virgo-edit-v3-1e6b1-v1-profiler
Service zonemercy-virgo-edit-v3-1e6b1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.04s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e6b1_v1 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v3-1e6b1_v1 status is now torndown due to DeploymentManager action