submission_id: sao10k-lyra-4-2-chai_v2
developer_uid: sao10k
best_of: 8
celo_rating: 1267.9
display_name: lyra42x
family_friendly_score: 0.5587837134228887
family_friendly_standard_error: 0.0061820952545690025
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': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Sao10K/lyra-4-2-chai
latencies: [{'batch_size': 1, 'throughput': 0.6970580298619455, 'latency_mean': 1.4344988000392913, 'latency_p50': 1.434069037437439, 'latency_p90': 1.5964512825012207}, {'batch_size': 3, 'throughput': 1.3275466748465974, 'latency_mean': 2.252317032814026, 'latency_p50': 2.2523359060287476, 'latency_p90': 2.5342344522476195}, {'batch_size': 5, 'throughput': 1.5851207989636118, 'latency_mean': 3.130108011960983, 'latency_p50': 3.1290574073791504, 'latency_p90': 3.512098240852356}, {'batch_size': 6, 'throughput': 1.605508391720776, 'latency_mean': 3.7095135223865507, 'latency_p50': 3.7113828659057617, 'latency_p90': 4.195038652420044}, {'batch_size': 8, 'throughput': 1.6097666158801769, 'latency_mean': 4.943300304412841, 'latency_p50': 4.923093795776367, 'latency_p90': 5.589447951316833}, {'batch_size': 10, 'throughput': 1.559848253756882, 'latency_mean': 6.363549230098724, 'latency_p50': 6.4011088609695435, 'latency_p90': 7.199102807044983}]
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: 6572
num_wins: 3354
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-26T02:30:55+00:00
us_pacific_date: 2024-09-25
win_ratio: 0.5103469263542301
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name sao10k-lyra-4-2-chai-v2-mkmlizer
Waiting for job on sao10k-lyra-4-2-chai-v2-mkmlizer to finish
sao10k-lyra-4-2-chai-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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sao10k-lyra-4-2-chai-v2-mkmlizer: ║ ║
sao10k-lyra-4-2-chai-v2-mkmlizer: ║ Version: 0.11.12 ║
sao10k-lyra-4-2-chai-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-lyra-4-2-chai-v2-mkmlizer: ║ https://mk1.ai ║
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sao10k-lyra-4-2-chai-v2-mkmlizer: Downloaded to shared memory in 48.351s
sao10k-lyra-4-2-chai-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi29sg62d, device:0
sao10k-lyra-4-2-chai-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-lyra-4-2-chai-v2-mkmlizer: quantized model in 35.825s
sao10k-lyra-4-2-chai-v2-mkmlizer: Processed model Sao10K/lyra-4-2-chai in 84.175s
sao10k-lyra-4-2-chai-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-lyra-4-2-chai-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-lyra-4-2-chai-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2
sao10k-lyra-4-2-chai-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2/config.json
sao10k-lyra-4-2-chai-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2/special_tokens_map.json
sao10k-lyra-4-2-chai-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2/tokenizer_config.json
sao10k-lyra-4-2-chai-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2/tokenizer.json
sao10k-lyra-4-2-chai-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v2/flywheel_model.0.safetensors
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Job sao10k-lyra-4-2-chai-v2-mkmlizer completed after 112.8s with status: succeeded
Stopping job with name sao10k-lyra-4-2-chai-v2-mkmlizer
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Creating inference service sao10k-lyra-4-2-chai-v2
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Inference service sao10k-lyra-4-2-chai-v2 ready after 210.5847442150116s
Pipeline stage MKMLDeployer completed in 210.93s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3269171714782715s
Received healthy response to inference request in 1.5935726165771484s
Received healthy response to inference request in 1.6812310218811035s
Received healthy response to inference request in 2.200819253921509s
Received healthy response to inference request in 1.5858173370361328s
5 requests
0 failed requests
5th percentile: 1.5873683929443358
10th percentile: 1.588919448852539
20th percentile: 1.5920215606689454
30th percentile: 1.6111042976379395
40th percentile: 1.6461676597595214
50th percentile: 1.6812310218811035
60th percentile: 1.8890663146972655
70th percentile: 2.0969016075134275
80th percentile: 2.2260388374328612
90th percentile: 2.2764780044555666
95th percentile: 2.301697587966919
99th percentile: 2.321873254776001
mean time: 1.877671480178833
Pipeline stage StressChecker completed in 10.01s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.29s
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Inference service sao10k-lyra-4-2-chai-v2-profiler ready after 220.50390195846558s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-lyra-4-2-chai-v2-profiler-predictor-00001-deploymentp7x2:/code/chaiverse_profiler_1727318461 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-lyra-4-2-chai-v2-profiler-predictor-00001-deploymentp7x2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727318461 && 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_1727318461/summary.json'
kubectl exec -it sao10k-lyra-4-2-chai-v2-profiler-predictor-00001-deploymentp7x2 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727318461/summary.json'
Pipeline stage MKMLProfilerRunner completed in 945.37s
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Checking if service sao10k-lyra-4-2-chai-v2-profiler is running
Tearing down inference service sao10k-lyra-4-2-chai-v2-profiler
Service sao10k-lyra-4-2-chai-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.26s
Shutdown handler de-registered
sao10k-lyra-4-2-chai_v2 status is now inactive due to auto deactivation removed underperforming models
sao10k-lyra-4-2-chai_v2 status is now torndown due to DeploymentManager action