submission_id: zonemercy-virgo-edit-v3-_8990_v1
developer_uid: zonemercy
best_of: 8
celo_rating: 1256.91
display_name: zonemercy-virgo-edit-v3-_8990_v1
family_friendly_score: 0.0
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}
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v3-1e6b1r128-horror
latencies: [{'batch_size': 1, 'throughput': 0.6077309239017191, 'latency_mean': 1.6453677523136139, 'latency_p50': 1.636597752571106, 'latency_p90': 1.8307281017303467}, {'batch_size': 3, 'throughput': 1.0514872540747158, 'latency_mean': 2.844260231256485, 'latency_p50': 2.834393262863159, 'latency_p90': 3.1472419261932374}, {'batch_size': 5, 'throughput': 1.2046534157798996, 'latency_mean': 4.1309435069561005, 'latency_p50': 4.134066224098206, 'latency_p90': 4.584104776382446}, {'batch_size': 6, 'throughput': 1.2293974181116558, 'latency_mean': 4.854593805074692, 'latency_p50': 4.877196907997131, 'latency_p90': 5.502059960365296}, {'batch_size': 8, 'throughput': 1.2234898015580222, 'latency_mean': 6.507342126369476, 'latency_p50': 6.528297781944275, 'latency_p90': 7.384346389770508}, {'batch_size': 10, 'throughput': 1.1750559447109292, 'latency_mean': 8.449987921714783, 'latency_p50': 8.546016097068787, 'latency_p90': 9.480625414848328}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v3-
model_name: zonemercy-virgo-edit-v3-_8990_v1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v3-1e6b1r128-horror
model_size: 13B
num_battles: 17107
num_wins: 8723
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.17
timestamp: 2024-09-19T22:30:02+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5099082247033379
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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-v3-8990-v1-mkmlizer
Waiting for job on zonemercy-virgo-edit-v3-8990-v1-mkmlizer to finish
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ _____ __ __ ║
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zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ https://mk1.ai ║
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zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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zonemercy-virgo-edit-v3-8990-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: Downloaded to shared memory in 103.240s
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptroju0c8, device:0
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: quantized model in 39.342s
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: Processed model zonemercy/Virgo-Edit-v3-1e6b1r128-horror in 142.582s
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1/config.json
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1/special_tokens_map.json
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1/tokenizer_config.json
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1/tokenizer.json
zonemercy-virgo-edit-v3-8990-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-8990-v1/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v3-8990-v1-mkmlizer completed after 165.6s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v3-8990-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.40s
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Pipeline stage MKMLTemplater completed in 0.07s
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Creating inference service zonemercy-virgo-edit-v3-8990-v1
Waiting for inference service zonemercy-virgo-edit-v3-8990-v1 to be ready
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Inference service zonemercy-virgo-edit-v3-8990-v1 ready after 200.69969606399536s
Pipeline stage MKMLDeployer completed in 201.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.0757601261138916s
Received healthy response to inference request in 1.993150234222412s
Received healthy response to inference request in 1.821650743484497s
Received healthy response to inference request in 2.530078172683716s
Received healthy response to inference request in 1.7176086902618408s
5 requests
0 failed requests
5th percentile: 1.738417100906372
10th percentile: 1.7592255115509032
20th percentile: 1.8008423328399659
30th percentile: 1.8559506416320801
40th percentile: 1.924550437927246
50th percentile: 1.993150234222412
60th percentile: 2.2079214096069335
70th percentile: 2.422692584991455
80th percentile: 2.6392145633697512
90th percentile: 2.857487344741821
95th percentile: 2.966623735427856
99th percentile: 3.0539328479766845
mean time: 2.2276495933532714
Pipeline stage StressChecker completed in 11.93s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.33s
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zonemercy-virgo-edit-v3-_8990_v1 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Waiting for inference service zonemercy-virgo-edit-v3-8990-v1-profiler to be ready
Inference service zonemercy-virgo-edit-v3-8990-v1-profiler ready after 200.4832227230072s
Pipeline stage MKMLProfilerDeployer completed in 200.87s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit30c3163b6f69e96c1107c68bf60f0748-deplo54pds:/code/chaiverse_profiler_1726785627 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit30c3163b6f69e96c1107c68bf60f0748-deplo54pds --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726785627 && 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_1726785627/summary.json'
kubectl exec -it zonemercy-virgo-edit30c3163b6f69e96c1107c68bf60f0748-deplo54pds --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726785627/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1186.10s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v3-8990-v1-profiler is running
Tearing down inference service zonemercy-virgo-edit-v3-8990-v1-profiler
Service zonemercy-virgo-edit-v3-8990-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.25s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-_8990_v1 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v3-_8990_v1 status is now torndown due to DeploymentManager action