chaiml-virgo-edit-v1-1e5

submission_id: chaiml-virgo-edit-v1-1e5_v6

developer_uid: chai_backend_admin

best_of: 8

celo_rating: 1252.52

display_name: 0919v2-0

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': 0.6244997515046345, 'latency_mean': 1.6012215805053711, 'latency_p50': 1.603173017501831, 'latency_p90': 1.7679174900054933}, {'batch_size': 3, 'throughput': 1.0887039679864285, 'latency_mean': 2.748061546087265, 'latency_p50': 2.7519243955612183, 'latency_p90': 3.0351871252059937}, {'batch_size': 5, 'throughput': 1.2346733271512984, 'latency_mean': 4.034979386329651, 'latency_p50': 4.035571455955505, 'latency_p90': 4.570266246795654}, {'batch_size': 6, 'throughput': 1.2645256833896619, 'latency_mean': 4.725710963010788, 'latency_p50': 4.74188756942749, 'latency_p90': 5.402326583862305}, {'batch_size': 8, 'throughput': 1.2320955566141911, 'latency_mean': 6.449356062412262, 'latency_p50': 6.516526699066162, 'latency_p90': 7.251157307624816}, {'batch_size': 10, 'throughput': 1.192288149564658, 'latency_mean': 8.341615859270096, 'latency_p50': 8.454370856285095, 'latency_p90': 9.381375980377197}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

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

model_name: 0919v2-0

model_num_parameters: 12772070400.0

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

model_size: 13B

num_battles: 12549

num_wins: 6519

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.21

timestamp: 2024-09-20T14:54:56+00:00

us_pacific_date: 2024-09-20

win_ratio: 0.5194836241931629

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Starting job with name chaiml-virgo-edit-v1-1e5-v6-mkmlizer
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chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║     _____            __           __                                ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║       /___/                                                         ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  belonging to:                                                      ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ║                                                                     ║
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-virgo-edit-v1-1e5-v6-mkmlizer: Downloaded to shared memory in 56.543s
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaj0po_2z, device:0
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: quantized model in 41.619s
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: Processed model ChaiML/Virgo-Edit-v1-1e5 in 98.163s
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: creating bucket guanaco-mkml-models
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v6
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v6/config.json
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v6/special_tokens_map.json
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v6/tokenizer_config.json
chaiml-virgo-edit-v1-1e5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v6/tokenizer.json
Job chaiml-virgo-edit-v1-1e5-v6-mkmlizer completed after 124.88s with status: succeeded
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Inference service chaiml-virgo-edit-v1-1e5-v6 ready after 201.70144748687744s
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Received healthy response to inference request in 3.1779580116271973s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-virgo-edit-v1-1e5-v6-profiler-predictor-00001-deplo6dwlr:/code/chaiverse_profiler_1726844712 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-virgo-edit-v1-1e5-v6-profiler-predictor-00001-deplo6dwlr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726844712 && 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_1726844712/summary.json'
kubectl exec -it chaiml-virgo-edit-v1-1e5-v6-profiler-predictor-00001-deplo6dwlr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726844712/summary.json'
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