submission_id: chaiml-virgo-edit-v1-1e5_v3
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1248.1
display_name: 0919v1-0
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: ChaiML/Virgo-Edit-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6210409123796137, 'latency_mean': 1.6101375687122346, 'latency_p50': 1.6035665273666382, 'latency_p90': 1.7801181554794312}, {'batch_size': 3, 'throughput': 1.0753523680579757, 'latency_mean': 2.781956875324249, 'latency_p50': 2.8084006309509277, 'latency_p90': 3.0529202222824097}, {'batch_size': 5, 'throughput': 1.2264544125234504, 'latency_mean': 4.0556068670749665, 'latency_p50': 4.073139905929565, 'latency_p90': 4.433663320541382}, {'batch_size': 6, 'throughput': 1.2459915433755575, 'latency_mean': 4.789236415624618, 'latency_p50': 4.802672266960144, 'latency_p90': 5.34702787399292}, {'batch_size': 8, 'throughput': 1.2277995915306714, 'latency_mean': 6.473399629592896, 'latency_p50': 6.45076310634613, 'latency_p90': 7.286469173431397}, {'batch_size': 10, 'throughput': 1.1988081806445892, 'latency_mean': 8.29983698606491, 'latency_p50': 8.36488676071167, 'latency_p90': 9.352805995941162}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Virgo-Edit-v1-1e5
model_name: 0919v1-0
model_num_parameters: 12772070400.0
model_repo: ChaiML/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 14711
num_wins: 7355
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-19T14:16:30+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4999660118278839
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 chaiml-virgo-edit-v1-1e5-v3-mkmlizer
Waiting for job on chaiml-virgo-edit-v1-1e5-v3-mkmlizer to finish
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║     _____            __           __                                ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║       /___/                                                         ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: Downloaded to shared memory in 73.582s
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwywpuyyb, device:0
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: quantized model in 43.555s
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: Processed model ChaiML/Virgo-Edit-v1-1e5 in 117.138s
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3/config.json
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3/special_tokens_map.json
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3/tokenizer_config.json
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3/tokenizer.json
chaiml-virgo-edit-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v3/flywheel_model.0.safetensors
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Job chaiml-virgo-edit-v1-1e5-v3-mkmlizer completed after 157.81s with status: succeeded
Stopping job with name chaiml-virgo-edit-v1-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 159.01s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-virgo-edit-v1-1e5-v3
Waiting for inference service chaiml-virgo-edit-v1-1e5-v3 to be ready
Failed to get response for submission zonemercy-virgo-edit-v4-1e5_v3: ('http://zonemercy-virgo-edit-v4-1e5-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:44180->127.0.0.1:8080: read: connection reset by peer\n')
Inference service chaiml-virgo-edit-v1-1e5-v3 ready after 301.86053586006165s
Pipeline stage MKMLDeployer completed in 302.71s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.930354118347168s
Received healthy response to inference request in 1.674281358718872s
Received healthy response to inference request in 1.7674555778503418s
Received healthy response to inference request in 1.6056478023529053s
Received healthy response to inference request in 1.6965248584747314s
5 requests
0 failed requests
5th percentile: 1.6193745136260986
10th percentile: 1.633101224899292
20th percentile: 1.6605546474456787
30th percentile: 1.678730058670044
40th percentile: 1.6876274585723876
50th percentile: 1.6965248584747314
60th percentile: 1.7248971462249756
70th percentile: 1.7532694339752197
80th percentile: 2.000035285949707
90th percentile: 2.4651947021484375
95th percentile: 2.6977744102478027
99th percentile: 2.883838176727295
mean time: 1.9348527431488036
Pipeline stage StressChecker completed in 11.28s
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Inference service chaiml-virgo-edit-v1-1e5-v3-profiler ready after 200.44243359565735s
Pipeline stage MKMLProfilerDeployer completed in 200.79s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-virgo-edit-v1-1e5-v3-profiler-predictor-00001-deplo66gpc:/code/chaiverse_profiler_1726756116 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-virgo-edit-v1-1e5-v3-profiler-predictor-00001-deplo66gpc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726756116 && 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_1726756116/summary.json'
kubectl exec -it chaiml-virgo-edit-v1-1e5-v3-profiler-predictor-00001-deplo66gpc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726756116/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1169.03s
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