sao10k-hanami-1-t1

submission_id: sao10k-hanami-1-t1_v2

developer_uid: sao10k

alignment_samples: 10246

alignment_score: -1.3618803611375807

best_of: 8

celo_rating: 1247.25

display_name: Hanami1t1

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '<|eot_id|>', '\n\n{user_name}', '\nYou:', '<|end_header_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Sao10K/Hanami-1-t1

latencies: [{'batch_size': 1, 'throughput': 0.8710435011965415, 'latency_mean': 1.1479878389835358, 'latency_p50': 1.1449629068374634, 'latency_p90': 1.2625255346298219}, {'batch_size': 4, 'throughput': 1.8415708266726853, 'latency_mean': 2.1671055030822752, 'latency_p50': 2.1805527210235596, 'latency_p90': 2.374584603309631}, {'batch_size': 5, 'throughput': 1.9912001740260672, 'latency_mean': 2.4966468703746796, 'latency_p50': 2.4990333318710327, 'latency_p90': 2.7966816186904904}, {'batch_size': 8, 'throughput': 2.1771073223088435, 'latency_mean': 3.6534867107868196, 'latency_p50': 3.6359715461730957, 'latency_p90': 4.040697073936462}, {'batch_size': 10, 'throughput': 2.214035009659796, 'latency_mean': 4.485659358501434, 'latency_p50': 4.532679915428162, 'latency_p90': 5.0095432043075565}, {'batch_size': 12, 'throughput': 2.2112150752057556, 'latency_mean': 5.3817428517341614, 'latency_p50': 5.4373674392700195, 'latency_p90': 6.107398056983948}, {'batch_size': 15, 'throughput': 2.1911276518288054, 'latency_mean': 6.753681497573853, 'latency_p50': 6.7663198709487915, 'latency_p90': 7.4796154499053955}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: Sao10K/Hanami-1-t1

model_name: Hanami1t1

model_num_parameters: 8030261248.0

model_repo: Sao10K/Hanami-1-t1

model_size: 8B

num_battles: 10246

num_wins: 5052

propriety_score: 0.7572916666666667

propriety_total_count: 960.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 2.19

timestamp: 2024-09-14T10:08:12+00:00

us_pacific_date: 2024-09-14

win_ratio: 0.4930704665235214

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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 sao10k-hanami-1-t1-v2-mkmlizer
Waiting for job on sao10k-hanami-1-t1-v2-mkmlizer to finish
sao10k-hanami-1-t1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-hanami-1-t1-v2-mkmlizer: ║     _____            __           __                                ║
sao10k-hanami-1-t1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-hanami-1-t1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-hanami-1-t1-v2-mkmlizer: ║       /___/                                                         ║
sao10k-hanami-1-t1-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-hanami-1-t1-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  belonging to:                                                      ║
sao10k-hanami-1-t1-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-hanami-1-t1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-hanami-1-t1-v2-mkmlizer: ║                                                                     ║
sao10k-hanami-1-t1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-hanami-1-t1-v2-mkmlizer: Downloaded to shared memory in 18.249s
sao10k-hanami-1-t1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5uy4_09b, device:0
sao10k-hanami-1-t1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-hanami-1-t1-v2-mkmlizer: quantized model in 25.463s
sao10k-hanami-1-t1-v2-mkmlizer: Processed model Sao10K/Hanami-1-t1 in 43.713s
sao10k-hanami-1-t1-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-hanami-1-t1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-hanami-1-t1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2
sao10k-hanami-1-t1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2/special_tokens_map.json
sao10k-hanami-1-t1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2/config.json
sao10k-hanami-1-t1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2/tokenizer_config.json
sao10k-hanami-1-t1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2/tokenizer.json
sao10k-hanami-1-t1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-hanami-1-t1-v2/flywheel_model.0.safetensors
sao10k-hanami-1-t1-v2-mkmlizer: 
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Job sao10k-hanami-1-t1-v2-mkmlizer completed after 65.75s with status: succeeded
Stopping job with name sao10k-hanami-1-t1-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.28s
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Pipeline stage MKMLTemplater completed in 0.09s
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Creating inference service sao10k-hanami-1-t1-v2
Waiting for inference service sao10k-hanami-1-t1-v2 to be ready
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
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Inference service sao10k-hanami-1-t1-v2 ready after 171.17385983467102s
Pipeline stage MKMLDeployer completed in 172.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8839919567108154s
Received healthy response to inference request in 1.6076064109802246s
Received healthy response to inference request in 1.6910369396209717s
Received healthy response to inference request in 1.720243215560913s
Received healthy response to inference request in 1.7394490242004395s
5 requests
0 failed requests
5th percentile: 1.624292516708374
10th percentile: 1.6409786224365235
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99th percentile: 1.8782102394104003
mean time: 1.7284655094146728
Pipeline stage StressChecker completed in 11.10s
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Inference service sao10k-hanami-1-t1-v2-profiler ready after 170.3780174255371s
Pipeline stage MKMLProfilerDeployer completed in 170.71s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-hanami-1-t1-v2-profiler-predictor-00001-deployment-2wbmh:/code/chaiverse_profiler_1726308979 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-hanami-1-t1-v2-profiler-predictor-00001-deployment-2wbmh --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726308979 && 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_1726308979/summary.json'
kubectl exec -it sao10k-hanami-1-t1-v2-profiler-predictor-00001-deployment-2wbmh --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726308979/summary.json'
Pipeline stage MKMLProfilerRunner completed in 807.72s
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Checking if service sao10k-hanami-1-t1-v2-profiler is running
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sao10k-hanami-1-t1_v2 status is now inactive due to auto deactivation removed underperforming models