submission_id: sao10k-lyra-4-2-chai_v3
developer_uid: sao10k
best_of: 8
celo_rating: 1261.92
display_name: lyra42x
family_friendly_score: 0.5671367962389635
family_friendly_standard_error: 0.009167182716100815
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: Sao10K/lyra-4-2-chai
latencies: [{'batch_size': 1, 'throughput': 0.6935030307821071, 'latency_mean': 1.441895625591278, 'latency_p50': 1.4416394233703613, 'latency_p90': 1.5959074735641479}, {'batch_size': 3, 'throughput': 1.3180947649240267, 'latency_mean': 2.2676336801052095, 'latency_p50': 2.2751269340515137, 'latency_p90': 2.5242862701416016}, {'batch_size': 5, 'throughput': 1.5523801766877363, 'latency_mean': 3.2088024842739107, 'latency_p50': 3.231033205986023, 'latency_p90': 3.6588056802749636}, {'batch_size': 6, 'throughput': 1.5952244161759184, 'latency_mean': 3.73923330783844, 'latency_p50': 3.7287819385528564, 'latency_p90': 4.268093895912171}, {'batch_size': 8, 'throughput': 1.5859515027549211, 'latency_mean': 5.021073160171508, 'latency_p50': 5.034155011177063, 'latency_p90': 5.671038269996643}, {'batch_size': 10, 'throughput': 1.539461751860951, 'latency_mean': 6.4540984416008, 'latency_p50': 6.55182421207428, 'latency_p90': 7.355883145332337}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/lyra-4-2-chai
model_name: lyra42x
model_num_parameters: 12772070400.0
model_repo: Sao10K/lyra-4-2-chai
model_size: 13B
num_battles: 2987
num_wins: 1531
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.6
timestamp: 2024-09-26T06:35:42+00:00
us_pacific_date: 2024-09-25
win_ratio: 0.5125544024104453
Download Preference Data
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name sao10k-lyra-4-2-chai-v3-mkmlizer
Waiting for job on sao10k-lyra-4-2-chai-v3-mkmlizer to finish
sao10k-lyra-4-2-chai-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-lyra-4-2-chai-v3-mkmlizer: ║     _____            __           __                                ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║       /___/                                                         ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║                                                                     ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  Version: 0.11.12                                                   ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║                                                                     ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  belonging to:                                                      ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║                                                                     ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ║                                                                     ║
sao10k-lyra-4-2-chai-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-lyra-4-2-chai-v3-mkmlizer: Downloaded to shared memory in 48.961s
sao10k-lyra-4-2-chai-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8vt0745y, device:0
sao10k-lyra-4-2-chai-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-lyra-4-2-chai-v3-mkmlizer: quantized model in 37.619s
sao10k-lyra-4-2-chai-v3-mkmlizer: Processed model Sao10K/lyra-4-2-chai in 86.580s
sao10k-lyra-4-2-chai-v3-mkmlizer: creating bucket guanaco-mkml-models
sao10k-lyra-4-2-chai-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-lyra-4-2-chai-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v3
sao10k-lyra-4-2-chai-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v3/config.json
sao10k-lyra-4-2-chai-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v3/special_tokens_map.json
sao10k-lyra-4-2-chai-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v3/tokenizer_config.json
sao10k-lyra-4-2-chai-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v3/tokenizer.json
Job sao10k-lyra-4-2-chai-v3-mkmlizer completed after 130.58s with status: succeeded
Stopping job with name sao10k-lyra-4-2-chai-v3-mkmlizer
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Creating inference service sao10k-lyra-4-2-chai-v3
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Inference service sao10k-lyra-4-2-chai-v3 ready after 210.48917031288147s
Pipeline stage MKMLDeployer completed in 210.83s
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Received healthy response to inference request in 2.1069769859313965s
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Received healthy response to inference request in 1.8250269889831543s
Received healthy response to inference request in 1.7622709274291992s
Received healthy response to inference request in 1.626274824142456s
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5th percentile: 1.590609884262085
10th percentile: 1.5995261192321777
20th percentile: 1.6173585891723632
30th percentile: 1.6534740447998046
40th percentile: 1.707872486114502
50th percentile: 1.7622709274291992
60th percentile: 1.7873733520507813
70th percentile: 1.8124757766723634
80th percentile: 1.8814169883728027
90th percentile: 1.9941969871520997
95th percentile: 2.050586986541748
99th percentile: 2.095698986053467
mean time: 1.7804486751556396
Pipeline stage StressChecker completed in 9.52s
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Inference service sao10k-lyra-4-2-chai-v3-profiler ready after 220.5096938610077s
Pipeline stage MKMLProfilerDeployer completed in 220.86s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-lyra-4-2-chai-v3-profiler-predictor-00001-deploymenj5dgk:/code/chaiverse_profiler_1727333173 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-lyra-4-2-chai-v3-profiler-predictor-00001-deploymenj5dgk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727333173 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1727333173/summary.json'
kubectl exec -it sao10k-lyra-4-2-chai-v3-profiler-predictor-00001-deploymenj5dgk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727333173/summary.json'
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