chaiml-virgo-edit-v1-1e5

developer_uid: zonemercy

submission_id: chaiml-virgo-edit-v1-1e5_v1

model_name: chaiml-virgo-edit-v1-1e5_v1

model_group: ChaiML/Virgo-Edit-v1-1e5

status: torndown

timestamp: 2024-09-19T09:19:38+00:00

num_battles: 14613

num_wins: 7335

celo_rating: 1244.58

family_friendly_score: 0.0

submission_type: basic

model_repo: ChaiML/Virgo-Edit-v1-1e5

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6172033522422724, 'latency_mean': 1.6201517474651337, 'latency_p50': 1.6136953830718994, 'latency_p90': 1.7917197465896606}, {'batch_size': 3, 'throughput': 1.0826490748444273, 'latency_mean': 2.7569007110595702, 'latency_p50': 2.774048328399658, 'latency_p90': 3.0522318601608274}, {'batch_size': 5, 'throughput': 1.236109908565117, 'latency_mean': 4.027195246219635, 'latency_p50': 3.998819947242737, 'latency_p90': 4.519973301887512}, {'batch_size': 6, 'throughput': 1.257807580532131, 'latency_mean': 4.747492973804474, 'latency_p50': 4.6727694272994995, 'latency_p90': 5.392132019996643}, {'batch_size': 8, 'throughput': 1.2483588927526428, 'latency_mean': 6.382319096326828, 'latency_p50': 6.398399233818054, 'latency_p90': 7.235352253913879}, {'batch_size': 10, 'throughput': 1.2194187194404698, 'latency_mean': 8.15571982741356, 'latency_p50': 8.163164138793945, 'latency_p90': 9.183346247673034}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-virgo-edit-v1-1e5_v1

is_internal_developer: True

language_model: ChaiML/Virgo-Edit-v1-1e5

model_size: 13B

ranking_group: single

throughput_3p7s: 1.21

us_pacific_date: 2024-09-19

win_ratio: 0.5019503182098132

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}

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 chaiml-virgo-edit-v1-1e5-v1-mkmlizer
Waiting for job on chaiml-virgo-edit-v1-1e5-v1-mkmlizer to finish
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║       /___/                                                         ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: Downloaded to shared memory in 98.483s
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq0813h0n, device:0
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: quantized model in 40.879s
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: Processed model ChaiML/Virgo-Edit-v1-1e5 in 139.362s
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1/config.json
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1/special_tokens_map.json
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1/tokenizer_config.json
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1/tokenizer.json
chaiml-virgo-edit-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v1/flywheel_model.0.safetensors
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Job chaiml-virgo-edit-v1-1e5-v1-mkmlizer completed after 165.88s with status: succeeded
Stopping job with name chaiml-virgo-edit-v1-1e5-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.11s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-virgo-edit-v1-1e5-v1
Waiting for inference service chaiml-virgo-edit-v1-1e5-v1 to be ready
Inference service chaiml-virgo-edit-v1-1e5-v1 ready after 191.12677025794983s
Pipeline stage MKMLDeployer completed in 191.88s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3557045459747314s
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Received healthy response to inference request in 1.4990801811218262s
Received healthy response to inference request in 1.5729618072509766s
Received healthy response to inference request in 1.6840615272521973s
Received healthy response to inference request in 2.121892213821411s
5 requests
0 failed requests
5th percentile: 1.5138565063476563
10th percentile: 1.5286328315734863
20th percentile: 1.5581854820251464
30th percentile: 1.5951817512512207
40th percentile: 1.639621639251709
50th percentile: 1.6840615272521973
60th percentile: 1.8591938018798828
70th percentile: 2.0343260765075684
80th percentile: 2.168654680252075
90th percentile: 2.2621796131134033
95th percentile: 2.3089420795440674
99th percentile: 2.346352052688599
mean time: 1.8467400550842286
Pipeline stage StressChecker completed in 10.00s
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Inference service chaiml-virgo-edit-v1-1e5-v1-profiler ready after 190.50716471672058s
Pipeline stage MKMLProfilerDeployer completed in 190.84s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-virgo-edit-v1-1e5-v1-profiler-predictor-00001-deplox7mtg:/code/chaiverse_profiler_1726738198 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-virgo-edit-v1-1e5-v1-profiler-predictor-00001-deplox7mtg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726738198 && 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_1726738198/summary.json'
kubectl exec -it chaiml-virgo-edit-v1-1e5-v1-profiler-predictor-00001-deplox7mtg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726738198/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1160.56s
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