submission_id: chaiml-virgo-edit-v1-1e5_v1
developer_uid: zonemercy
best_of: 8
celo_rating: 1244.58
display_name: chaiml-virgo-edit-v1-1e5_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': ['</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': 0.6172033522422724, '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}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Virgo-Edit-v1-1e5
model_name: chaiml-virgo-edit-v1-1e5_v1
model_num_parameters: 12772070400.0
model_repo: ChaiML/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 14613
num_wins: 7335
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-19T09:19:38+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5019503182098132
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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 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: ║ _____ __ __ ║
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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 ║
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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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Creating inference service chaiml-virgo-edit-v1-1e5-v1
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Inference service chaiml-virgo-edit-v1-1e5-v1 ready after 191.12677025794983s
Pipeline stage MKMLDeployer completed in 191.88s
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Received healthy response to inference request in 2.3557045459747314s
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Received healthy response to inference request in 1.4990801811218262s
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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
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Inference service chaiml-virgo-edit-v1-1e5-v1-profiler ready after 190.50716471672058s
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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'
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