submission_id: zonemercy-virgo-edit-v3-1e5_v4
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1230.05
display_name: 0919v1-1
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': ['</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-v3-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6095283119309337, 'latency_mean': 1.6405234837532043, 'latency_p50': 1.645449161529541, 'latency_p90': 1.798755168914795}, {'batch_size': 3, 'throughput': 1.0812755820341229, 'latency_mean': 2.7667466723918914, 'latency_p50': 2.7819865942001343, 'latency_p90': 3.098925971984863}, {'batch_size': 5, 'throughput': 1.2241729555830223, 'latency_mean': 4.060985465049743, 'latency_p50': 4.084507346153259, 'latency_p90': 4.568076586723327}, {'batch_size': 6, 'throughput': 1.2537606019126044, 'latency_mean': 4.764578151702881, 'latency_p50': 4.7951518297195435, 'latency_p90': 5.348349571228027}, {'batch_size': 8, 'throughput': 1.2372865210614894, 'latency_mean': 6.43404904961586, 'latency_p50': 6.465349197387695, 'latency_p90': 7.232771158218384}, {'batch_size': 10, 'throughput': 1.2070845055405703, 'latency_mean': 8.222545087337494, 'latency_p50': 8.242186784744263, 'latency_p90': 9.349762082099915}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v3-
model_name: 0919v1-1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v3-1e5
model_size: 13B
num_battles: 16251
num_wins: 7767
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-19T11:00:52+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4779398190880561
Download Preference Data
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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-v3-1e5-v4-mkmlizer
Waiting for job on zonemercy-virgo-edit-v3-1e5-v4-mkmlizer to finish
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ ║
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zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: Downloaded to shared memory in 52.094s
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5wiu3o32, device:0
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: quantized model in 40.021s
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: Processed model zonemercy/Virgo-Edit-v3-1e5 in 92.115s
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v4
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v4/config.json
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v4/tokenizer_config.json
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v4/tokenizer.json
zonemercy-virgo-edit-v3-1e5-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v4/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v3-1e5-v4-mkmlizer completed after 124.04s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v3-1e5-v4-mkmlizer
Pipeline stage MKMLizer completed in 124.82s
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Creating inference service zonemercy-virgo-edit-v3-1e5-v4
Waiting for inference service zonemercy-virgo-edit-v3-1e5-v4 to be ready
Failed to get response for submission chaiml-virgo-edit-v1-1e5_v1: ('http://chaiml-virgo-edit-v1-1e5-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
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Failed to get response for submission chaiml-elo-alignment-run-3_v36: ('http://chaiml-elo-alignment-run-3-v36-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:57440->127.0.0.1:8080: read: connection reset by peer\n')
Retrying (%r) after connection broken by '%r': %s
Inference service zonemercy-virgo-edit-v3-1e5-v4 ready after 200.83617424964905s
Pipeline stage MKMLDeployer completed in 201.40s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.2413885593414307s
Received healthy response to inference request in 1.580991268157959s
Received healthy response to inference request in 1.9677910804748535s
Received healthy response to inference request in 1.7579772472381592s
Received healthy response to inference request in 2.040877103805542s
5 requests
0 failed requests
5th percentile: 1.616388463973999
10th percentile: 1.651785659790039
20th percentile: 1.7225800514221192
30th percentile: 1.799940013885498
40th percentile: 1.8838655471801757
50th percentile: 1.9677910804748535
60th percentile: 1.997025489807129
70th percentile: 2.0262598991394043
80th percentile: 2.2809793949127197
90th percentile: 2.761183977127075
95th percentile: 3.001286268234253
99th percentile: 3.193368101119995
mean time: 2.1178050518035887
Pipeline stage StressChecker completed in 12.09s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.09s
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zonemercy-virgo-edit-v3-1e5_v4 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service zonemercy-virgo-edit-v3-1e5-v4-profiler
Waiting for inference service zonemercy-virgo-edit-v3-1e5-v4-profiler to be ready
Inference service zonemercy-virgo-edit-v3-1e5-v4-profiler ready after 190.57685446739197s
Pipeline stage MKMLProfilerDeployer completed in 190.97s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-editad66c9c5d7753acdbf3485b81bc32dbc-deploj27w8:/code/chaiverse_profiler_1726744230 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-editad66c9c5d7753acdbf3485b81bc32dbc-deploj27w8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726744230 && 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_1726744230/summary.json'
kubectl exec -it zonemercy-virgo-editad66c9c5d7753acdbf3485b81bc32dbc-deploj27w8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726744230/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1168.84s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v3-1e5-v4-profiler is running
Tearing down inference service zonemercy-virgo-edit-v3-1e5-v4-profiler
Service zonemercy-virgo-edit-v3-1e5-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.01s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e5_v4 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v3-1e5_v4 status is now torndown due to DeploymentManager action