submission_id: sao10k-mn-12b-lyra-v4a1_v1
developer_uid: sao10k
alignment_samples: 10079
alignment_score: -0.4171370377119076
best_of: 8
celo_rating: 1258.72
display_name: lyra41
formatter: {'memory_template': '<|im_start|>system\n{memory}[/INST]\n', 'prompt_template': '<|im_start|>user\n{prompt}[/INST]\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '<|im_start|>user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]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/MN-12B-Lyra-v4a1
latencies: [{'batch_size': 1, 'throughput': 0.6919619992049415, 'latency_mean': 1.445058172941208, 'latency_p50': 1.4457892179489136, 'latency_p90': 1.601093602180481}, {'batch_size': 3, 'throughput': 1.330256171230038, 'latency_mean': 2.247247760295868, 'latency_p50': 2.227228283882141, 'latency_p90': 2.504995322227478}, {'batch_size': 5, 'throughput': 1.5625558813529499, 'latency_mean': 3.1863015592098236, 'latency_p50': 3.169217348098755, 'latency_p90': 3.5948062658309934}, {'batch_size': 6, 'throughput': 1.597880025184406, 'latency_mean': 3.73540811419487, 'latency_p50': 3.7146109342575073, 'latency_p90': 4.2352792263031}, {'batch_size': 8, 'throughput': 1.5923812154336616, 'latency_mean': 4.987358438968658, 'latency_p50': 5.002313017845154, 'latency_p90': 5.6774814367294315}, {'batch_size': 10, 'throughput': 1.567853626823206, 'latency_mean': 6.342608182430268, 'latency_p50': 6.347144365310669, 'latency_p90': 7.311555075645447}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/MN-12B-Lyra-v4a1
model_name: lyra41
model_num_parameters: 12772070400.0
model_repo: Sao10K/MN-12B-Lyra-v4a1
model_size: 13B
num_battles: 10079
num_wins: 5287
propriety_score: 0.7510775862068966
propriety_total_count: 928.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.6
timestamp: 2024-09-05T15:45:51+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.5245560075404306
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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-mn-12b-lyra-v4a1-v1-mkmlizer
Waiting for job on sao10k-mn-12b-lyra-v4a1-v1-mkmlizer to finish
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║     _____            __           __                                ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║       /___/                                                         ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  belonging to:                                                      ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ║                                                                     ║
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: quantized model in 36.491s
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: Processed model Sao10K/MN-12B-Lyra-v4a1 in 84.412s
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1/config.json
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1/special_tokens_map.json
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1/tokenizer_config.json
sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1/tokenizer.json
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sao10k-mn-12b-lyra-v4a1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a1-v1/flywheel_model.0.safetensors
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Job sao10k-mn-12b-lyra-v4a1-v1-mkmlizer completed after 117.93s with status: succeeded
Stopping job with name sao10k-mn-12b-lyra-v4a1-v1-mkmlizer
Pipeline stage MKMLizer completed in 119.00s
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Running pipeline stage MKMLDeployer
Creating inference service sao10k-mn-12b-lyra-v4a1-v1
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Inference service sao10k-mn-12b-lyra-v4a1-v1 ready after 141.37545347213745s
Pipeline stage MKMLDeployer completed in 141.72s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5358383655548096s
Received healthy response to inference request in 2.2759463787078857s
Received healthy response to inference request in 1.9903409481048584s
Received healthy response to inference request in 2.136533498764038s
Received healthy response to inference request in 2.1181774139404297s
5 requests
0 failed requests
5th percentile: 2.0159082412719727
10th percentile: 2.041475534439087
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50th percentile: 2.136533498764038
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70th percentile: 2.248063802719116
80th percentile: 2.3279247760772703
90th percentile: 2.43188157081604
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99th percentile: 2.5254426860809325
mean time: 2.2113673210144045
Pipeline stage StressChecker completed in 12.54s
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Creating inference service sao10k-mn-12b-lyra-v4a1-v1-profiler
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-mn-12b-lyra-v4a1-v1-profiler-predictor-00001-deploy8hmsq:/code/chaiverse_profiler_1725551630 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-mn-12b-lyra-v4a1-v1-profiler-predictor-00001-deploy8hmsq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725551630 && 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_1725551630/summary.json'
kubectl exec -it sao10k-mn-12b-lyra-v4a1-v1-profiler-predictor-00001-deploy8hmsq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725551630/summary.json'
Pipeline stage MKMLProfilerRunner completed in 951.47s
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Running pipeline stage MKMLProfilerDeleter
Checking if service sao10k-mn-12b-lyra-v4a1-v1-profiler is running
Tearing down inference service sao10k-mn-12b-lyra-v4a1-v1-profiler
Service sao10k-mn-12b-lyra-v4a1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.59s
Shutdown handler de-registered
sao10k-mn-12b-lyra-v4a1_v1 status is now inactive due to auto deactivation removed underperforming models

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