submission_id: zonemercy-virgo-edit-v1-1e5_v19
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1249.25
display_name: zonemercy-virgo-edit-v1-1e5_v13
family_friendly_score: 0.5741288625904011
family_friendly_standard_error: 0.008944127974625049
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}
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.613895587954049, 'latency_mean': 1.6288704895973205, 'latency_p50': 1.6217336654663086, 'latency_p90': 1.8116347074508667}, {'batch_size': 3, 'throughput': 1.066738003902564, 'latency_mean': 2.803298909664154, 'latency_p50': 2.8049991130828857, 'latency_p90': 3.074532127380371}, {'batch_size': 5, 'throughput': 1.2168504807458538, 'latency_mean': 4.081993103027344, 'latency_p50': 4.069056987762451, 'latency_p90': 4.560462117195129}, {'batch_size': 6, 'throughput': 1.2443270335274184, 'latency_mean': 4.796422603130341, 'latency_p50': 4.797778367996216, 'latency_p90': 5.473969602584839}, {'batch_size': 8, 'throughput': 1.2332801557304118, 'latency_mean': 6.4541846680641175, 'latency_p50': 6.455816388130188, 'latency_p90': 7.4359218120574955}, {'batch_size': 10, 'throughput': 1.200570988418507, 'latency_mean': 8.277647777795792, 'latency_p50': 8.3114994764328, 'latency_p90': 9.429894852638244}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v1-
model_name: zonemercy-virgo-edit-v1-1e5_v13
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 3125
num_wins: 1556
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-25T04:03:06+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.49792
Download Preference Data
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Starting job with name zonemercy-virgo-edit-v1-1e5-v19-mkmlizer
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Waiting for job on zonemercy-virgo-edit-v1-1e5-v19-mkmlizer to finish
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ _____ __ __ ║
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zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ Version: 0.11.12 ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ https://mk1.ai ║
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zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: Downloaded to shared memory in 58.672s
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmph2yo_4kn, device:0
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: quantized model in 41.069s
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: Processed model zonemercy/Virgo-Edit-v1-1e5 in 99.742s
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19/config.json
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19/special_tokens_map.json
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19/tokenizer_config.json
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19/tokenizer.json
zonemercy-virgo-edit-v1-1e5-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v19/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v1-1e5-v19-mkmlizer completed after 128.16s with status: succeeded
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Inference service zonemercy-virgo-edit-v1-1e5-v19 ready after 212.34409928321838s
Pipeline stage MKMLDeployer completed in 213.22s
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Received healthy response to inference request in 3.263967275619507s
Received healthy response to inference request in 1.650411605834961s
Received healthy response to inference request in 3.1576342582702637s
Received healthy response to inference request in 1.7235369682312012s
Received healthy response to inference request in 2.689500570297241s
5 requests
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5th percentile: 1.665036678314209
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mean time: 2.4970101356506347
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Inference service zonemercy-virgo-edit-v1-1e5-v19-profiler ready after 210.49489545822144s
Pipeline stage MKMLProfilerDeployer completed in 210.90s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-editcbb8d53bfeebbdcb44d32df9c9c384da-deplo6wbr7:/code/chaiverse_profiler_1727237616 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-editcbb8d53bfeebbdcb44d32df9c9c384da-deplo6wbr7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727237616 && 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_1727237616/summary.json'
kubectl exec -it zonemercy-virgo-editcbb8d53bfeebbdcb44d32df9c9c384da-deplo6wbr7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727237616/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1172.69s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v1-1e5-v19-profiler is running
Tearing down inference service zonemercy-virgo-edit-v1-1e5-v19-profiler
Service zonemercy-virgo-edit-v1-1e5-v19-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.25s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v19 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v1-1e5_v19 status is now torndown due to DeploymentManager action