submission_id: chaiml-virgo-edit-v1-1e5_v5
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1251.17
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': 0.6147011310687143, 'latency_mean': 1.6267433726787568, 'latency_p50': 1.6351344585418701, 'latency_p90': 1.7927455186843873}, {'batch_size': 3, 'throughput': 1.0872190709267109, 'latency_mean': 2.7554682326316833, 'latency_p50': 2.757222294807434, 'latency_p90': 3.068351078033447}, {'batch_size': 5, 'throughput': 1.2267295375069829, 'latency_mean': 4.06032044172287, 'latency_p50': 4.067879676818848, 'latency_p90': 4.6134717702865595}, {'batch_size': 6, 'throughput': 1.2316820126210506, 'latency_mean': 4.844084793329239, 'latency_p50': 4.847793698310852, 'latency_p90': 5.400835180282592}, {'batch_size': 8, 'throughput': 1.216265027129944, 'latency_mean': 6.531490516662598, 'latency_p50': 6.591681122779846, 'latency_p90': 7.3401366710662845}, {'batch_size': 10, 'throughput': 1.1733652135804853, 'latency_mean': 8.466672788858414, 'latency_p50': 8.51467752456665, 'latency_p90': 9.622261667251587}]
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: 12124
num_wins: 6034
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-19T21:09:27+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4976905311778291
Download Preference Data
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name chaiml-virgo-edit-v1-1e5-v5-mkmlizer
Waiting for job on chaiml-virgo-edit-v1-1e5-v5-mkmlizer to finish
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ _____ __ __ ║
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chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ /___/ ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ Version: 0.10.1 ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ https://mk1.ai ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ ║
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chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ Chai Research Corp. ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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chaiml-virgo-edit-v1-1e5-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-virgo-edit-v1-1e5-v5-mkmlizer: Downloaded to shared memory in 52.034s
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuk_zwiwi, device:0
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: quantized model in 41.630s
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: Processed model ChaiML/Virgo-Edit-v1-1e5 in 93.664s
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v5/special_tokens_map.json
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v5/config.json
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v5/tokenizer_config.json
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v5/tokenizer.json
chaiml-virgo-edit-v1-1e5-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v5/flywheel_model.0.safetensors
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Job chaiml-virgo-edit-v1-1e5-v5-mkmlizer completed after 127.39s with status: succeeded
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5th percentile: 1.4517334938049316
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-virgo-edit-v1-1e5-v5-profiler-predictor-00001-deplo7tgsc:/code/chaiverse_profiler_1726780764 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-virgo-edit-v1-1e5-v5-profiler-predictor-00001-deplo7tgsc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726780764 && 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_1726780764/summary.json'
kubectl exec -it chaiml-virgo-edit-v1-1e5-v5-profiler-predictor-00001-deplo7tgsc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726780764/summary.json'
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