chaiml-0919-quad-dataset_3078

developer_uid: azuruce
submission_id: chaiml-0919-quad-dataset_3078_v2
model_name: chaiml-0919-quad-dataset_3078_v2
model_group: ChaiML/0919-quad-dataset
status: torndown
timestamp: 2024-09-19T08:21:04+00:00
num_battles: 9989
num_wins: 5072
celo_rating: 1248.62
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/0919-quad-dataset-albert
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6093385289145145, 'latency_mean': 1.6410612607002257, 'latency_p50': 1.6440304517745972, 'latency_p90': 1.825737190246582}, {'batch_size': 3, 'throughput': 1.0625978714966098, 'latency_mean': 2.8203526306152344, 'latency_p50': 2.815179944038391, 'latency_p90': 3.1202008962631225}, {'batch_size': 5, 'throughput': 1.1979724281009154, 'latency_mean': 4.1491899120807645, 'latency_p50': 4.165416121482849, 'latency_p90': 4.636114954948425}, {'batch_size': 6, 'throughput': 1.220713911773534, 'latency_mean': 4.896350802183151, 'latency_p50': 4.924305319786072, 'latency_p90': 5.528065228462219}, {'batch_size': 8, 'throughput': 1.215257637075186, 'latency_mean': 6.545700137615204, 'latency_p50': 6.6213566064834595, 'latency_p90': 7.311486458778381}, {'batch_size': 10, 'throughput': 1.1893855622265321, 'latency_mean': 8.36021679162979, 'latency_p50': 8.288738250732422, 'latency_p90': 9.391568827629088}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-0919-quad-dataset_3078_v2
is_internal_developer: True
language_model: ChaiML/0919-quad-dataset-albert
model_size: 13B
ranking_group: single
throughput_3p7s: 1.17
us_pacific_date: 2024-09-19
win_ratio: 0.5077585343878266
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.6, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-0919-quad-dataset-3078-v2-mkmlizer
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chaiml-0919-quad-dataset-3078-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║       /___/                                                         ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║                                                                     ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║                                                                     ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║                                                                     ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ║                                                                     ║
chaiml-0919-quad-dataset-3078-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-0919-quad-dataset-3078-v2-mkmlizer: Downloaded to shared memory in 55.265s
chaiml-0919-quad-dataset-3078-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpka0_2l38, device:0
chaiml-0919-quad-dataset-3078-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-0919-quad-dataset-3078-v2-mkmlizer: quantized model in 40.053s
chaiml-0919-quad-dataset-3078-v2-mkmlizer: Processed model ChaiML/0919-quad-dataset-albert in 95.318s
chaiml-0919-quad-dataset-3078-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-0919-quad-dataset-3078-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-0919-quad-dataset-3078-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v2
chaiml-0919-quad-dataset-3078-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v2/config.json
chaiml-0919-quad-dataset-3078-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v2/special_tokens_map.json
chaiml-0919-quad-dataset-3078-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v2/tokenizer.json
chaiml-0919-quad-dataset-3078-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v2/flywheel_model.0.safetensors
chaiml-0919-quad-dataset-3078-v2-mkmlizer: 
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Job chaiml-0919-quad-dataset-3078-v2-mkmlizer completed after 114.23s with status: succeeded
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5th percentile: 1.695895290374756
10th percentile: 1.7180017948150634
20th percentile: 1.7622148036956786
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90th percentile: 1.9098272800445557
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-0919-quad-dat522d1217b3308d8f6bbc9c6c973b42b7-deplokd7wg:/code/chaiverse_profiler_1726734634 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-0919-quad-dat522d1217b3308d8f6bbc9c6c973b42b7-deplokd7wg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726734634 && 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_1726734634/summary.json'
kubectl exec -it chaiml-0919-quad-dat522d1217b3308d8f6bbc9c6c973b42b7-deplokd7wg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726734634/summary.json'
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nousresearch-meta-llama-4939-v63-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
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nousresearch-meta-llama-4939-v63-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
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nousresearch-meta-llama-4939-v63-mkmlizer: ║       /___/                                                         ║
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nousresearch-meta-llama-4939-v63-mkmlizer: ║                                                                     ║
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nousresearch-meta-llama-4939-v63-mkmlizer: ║  Version: 0.11.12                                                   ║
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nousresearch-meta-llama-4939-v63-mkmlizer: ║  Version: 0.11.12                                                   ║
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