developer_uid: chai_backend_admin
submission_id: zonemercy-virgo-edit-v5-1e5b1_v2
model_name: 0919v1-6
model_group: zonemercy/Virgo-Edit-v5-
status: torndown
timestamp: 2024-09-19T13:54:20+00:00
num_battles: 12244
num_wins: 6240
celo_rating: 1254.58
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Virgo-Edit-v5-1e5b1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6156991414226565, 'latency_mean': 1.6240728425979614, 'latency_p50': 1.6144051551818848, 'latency_p90': 1.7954479932785035}, {'batch_size': 3, 'throughput': 1.077478148601245, 'latency_mean': 2.773519380092621, 'latency_p50': 2.786686062812805, 'latency_p90': 3.0085511684417723}, {'batch_size': 5, 'throughput': 1.2470216434383947, 'latency_mean': 3.9953466022014616, 'latency_p50': 3.9819530248641968, 'latency_p90': 4.468982267379761}, {'batch_size': 6, 'throughput': 1.263922594480482, 'latency_mean': 4.719791078567505, 'latency_p50': 4.71508526802063, 'latency_p90': 5.3459615230560305}, {'batch_size': 8, 'throughput': 1.259041141560765, 'latency_mean': 6.322519638538361, 'latency_p50': 6.332637548446655, 'latency_p90': 7.114299631118774}, {'batch_size': 10, 'throughput': 1.2179138884160805, 'latency_mean': 8.16641669511795, 'latency_p50': 8.243476033210754, 'latency_p90': 9.382959151268006}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0919v1-6
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v5-1e5b1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.22
us_pacific_date: 2024-09-19
win_ratio: 0.5096373734073832
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-v5-1e5b1-v2-mkmlizer
Waiting for job on zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer to finish
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ _____ __ __ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ║ ║
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: Downloaded to shared memory in 58.107s
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzurxx2m7, device:0
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: quantized model in 41.681s
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: Processed model zonemercy/Virgo-Edit-v5-1e5b1 in 99.789s
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2/config.json
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2/special_tokens_map.json
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2/tokenizer_config.json
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2/tokenizer.json
zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v5-1e5b1-v2/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer completed after 124.06s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v5-1e5b1-v2-mkmlizer
Pipeline stage MKMLizer completed in 126.22s
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Creating inference service zonemercy-virgo-edit-v5-1e5b1-v2
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Inference service zonemercy-virgo-edit-v5-1e5b1-v2 ready after 191.07962083816528s
Pipeline stage MKMLDeployer completed in 191.41s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2215054035186768s
Received healthy response to inference request in 2.527174472808838s
Received healthy response to inference request in 1.6588475704193115s
Received healthy response to inference request in 1.5859224796295166s
Received healthy response to inference request in 1.5498335361480713s
5 requests
0 failed requests
5th percentile: 1.5570513248443603
10th percentile: 1.5642691135406495
20th percentile: 1.5787046909332276
30th percentile: 1.6005074977874756
40th percentile: 1.6296775341033936
50th percentile: 1.6588475704193115
60th percentile: 1.8839107036590577
70th percentile: 2.108973836898804
80th percentile: 2.282639217376709
90th percentile: 2.4049068450927735
95th percentile: 2.4660406589508055
99th percentile: 2.5149477100372315
mean time: 1.908656692504883
Pipeline stage StressChecker completed in 12.49s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.13s
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Waiting for inference service zonemercy-virgo-edit-v5-1e5b1-v2-profiler to be ready
Inference service zonemercy-virgo-edit-v5-1e5b1-v2-profiler ready after 200.48705744743347s
Pipeline stage MKMLProfilerDeployer completed in 200.89s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-editb0149b02653fccdf52a2e72ddcf8a871-deplortcxn:/code/chaiverse_profiler_1726754654 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-editb0149b02653fccdf52a2e72ddcf8a871-deplortcxn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726754654 && 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_1726754654/summary.json'
kubectl exec -it zonemercy-virgo-editb0149b02653fccdf52a2e72ddcf8a871-deplortcxn --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726754654/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1157.31s
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Checking if service zonemercy-virgo-edit-v5-1e5b1-v2-profiler is running
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50th percentile: 3.2941057682037354
Checking if service zonemercy-cogent-nemo-v-3266-v11 is running
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60th percentile: 3.50522198677063
Tearing down inference service zonemercy-cogent-nemo-v-3266-v11
Deleting key chaiml-0916-intent-suppo-6584-v3/special_tokens_map.json from bucket guanaco-mkml-models
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Pipeline stage MKMLDeleter completed in 86.49s
70th percentile: 3.7163382053375242
Service zonemercy-cogent-nemo-v-3266-v11 has been torndown
Deleting key chaiml-0916-intent-suppo-6584-v3/tokenizer.json from bucket guanaco-mkml-models
Tearing down inference service zonemercy-elite-edit-v1-1e5-v1
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Cleaning model data from S3
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Pipeline stage MKMLDeleter completed in 105.02s
Deleting key chaiml-0916-intent-suppo-6584-v3/tokenizer_config.json from bucket guanaco-mkml-models
Service zonemercy-elite-edit-v1-1e5-v1 has been torndown
admin requested tearing down of chaiml-0917-bot-dominant_6324_v5
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