submission_id: sao10k-mn-12b-lyra-v4a2_v2
developer_uid: sao10k
alignment_samples: 12916
alignment_score: -0.13380462306657404
best_of: 8
celo_rating: 1252.63
display_name: lyra42
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/MN-12B-Lyra-v4a2
latencies: [{'batch_size': 1, 'throughput': 0.6931583957433309, 'latency_mean': 1.4425806164741517, 'latency_p50': 1.4478161334991455, 'latency_p90': 1.6106695652008056}, {'batch_size': 3, 'throughput': 1.3301829037012305, 'latency_mean': 2.2461686968803405, 'latency_p50': 2.2347004413604736, 'latency_p90': 2.4729973554611204}, {'batch_size': 5, 'throughput': 1.5460484391630611, 'latency_mean': 3.2193285620212553, 'latency_p50': 3.2115466594696045, 'latency_p90': 3.577026700973511}, {'batch_size': 6, 'throughput': 1.5949272243991637, 'latency_mean': 3.7409205842018127, 'latency_p50': 3.7782459259033203, 'latency_p90': 4.1931809186935425}, {'batch_size': 8, 'throughput': 1.5753753077472992, 'latency_mean': 5.032341006994248, 'latency_p50': 5.061548233032227, 'latency_p90': 5.679836654663085}, {'batch_size': 10, 'throughput': 1.5196526280952847, 'latency_mean': 6.528875786066055, 'latency_p50': 6.580205917358398, 'latency_p90': 7.362384676933289}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/MN-12B-Lyra-v4a2
model_name: lyra42
model_num_parameters: 12772070400.0
model_repo: Sao10K/MN-12B-Lyra-v4a2
model_size: 13B
num_battles: 12916
num_wins: 6646
propriety_score: 0.7632541133455211
propriety_total_count: 1094.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.6
timestamp: 2024-09-05T15:48:36+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.5145555899659338
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Running pipeline stage MKMLizer
Starting job with name sao10k-mn-12b-lyra-v4a2-v2-mkmlizer
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sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: ║ Version: 0.10.1 ║
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: ║ Chai Research Corp. ║
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sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: Downloaded to shared memory in 41.043s
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaejl8_i0, device:0
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2/config.json
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2/special_tokens_map.json
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2/tokenizer_config.json
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2/tokenizer.json
sao10k-mn-12b-lyra-v4a2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4a2-v2/flywheel_model.0.safetensors
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Job sao10k-mn-12b-lyra-v4a2-v2-mkmlizer completed after 105.29s with status: succeeded
Stopping job with name sao10k-mn-12b-lyra-v4a2-v2-mkmlizer
Pipeline stage MKMLizer completed in 106.26s
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Creating inference service sao10k-mn-12b-lyra-v4a2-v2
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Inference service sao10k-mn-12b-lyra-v4a2-v2 ready after 140.87452864646912s
Pipeline stage MKMLDeployer completed in 141.35s
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Received healthy response to inference request in 2.6207804679870605s
Received healthy response to inference request in 2.3969430923461914s
Received healthy response to inference request in 1.8947579860687256s
Received healthy response to inference request in 1.7093946933746338s
Received healthy response to inference request in 2.3990700244903564s
5 requests
0 failed requests
5th percentile: 1.7464673519134521
10th percentile: 1.7835400104522705
20th percentile: 1.8576853275299072
30th percentile: 1.9951950073242188
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50th percentile: 2.3969430923461914
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70th percentile: 2.3986446380615236
80th percentile: 2.443412113189697
90th percentile: 2.532096290588379
95th percentile: 2.57643837928772
99th percentile: 2.6119120502471924
mean time: 2.2041892528533937
Pipeline stage StressChecker completed in 12.37s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.16s
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Creating inference service sao10k-mn-12b-lyra-v4a2-v2-profiler
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Inference service sao10k-mn-12b-lyra-v4a2-v2-profiler ready after 150.4279429912567s
Pipeline stage MKMLProfilerDeployer completed in 150.80s
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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-v4a2-v2-profiler-predictor-00001-deployl6vzb:/code/chaiverse_profiler_1725551774 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-mn-12b-lyra-v4a2-v2-profiler-predictor-00001-deployl6vzb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725551774 && 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_1725551774/summary.json'
kubectl exec -it sao10k-mn-12b-lyra-v4a2-v2-profiler-predictor-00001-deployl6vzb --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725551774/summary.json'
Pipeline stage MKMLProfilerRunner completed in 958.27s
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Running pipeline stage MKMLProfilerDeleter
Checking if service sao10k-mn-12b-lyra-v4a2-v2-profiler is running
Tearing down inference service sao10k-mn-12b-lyra-v4a2-v2-profiler
Service sao10k-mn-12b-lyra-v4a2-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.02s
Shutdown handler de-registered
sao10k-mn-12b-lyra-v4a2_v2 status is now inactive due to auto deactivation removed underperforming models

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