submission_id: sao10k-mn-12b-lyra-v4b1_v1
developer_uid: sao10k
best_of: 8
celo_rating: 1248.87
display_name: lyra41
family_friendly_score: 0.0
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-v4b1
latencies: [{'batch_size': 1, 'throughput': 0.6961307462515147, 'latency_mean': 1.4364345574378967, 'latency_p50': 1.4271202087402344, 'latency_p90': 1.6032652854919434}, {'batch_size': 3, 'throughput': 1.341871792688169, 'latency_mean': 2.2224172461032867, 'latency_p50': 2.2169569730758667, 'latency_p90': 2.4407729148864745}, {'batch_size': 5, 'throughput': 1.591502348591622, 'latency_mean': 3.1314728307724, 'latency_p50': 3.1403199434280396, 'latency_p90': 3.4889400959014893}, {'batch_size': 6, 'throughput': 1.634934567782921, 'latency_mean': 3.6424233424663544, 'latency_p50': 3.645893692970276, 'latency_p90': 4.172836422920227}, {'batch_size': 8, 'throughput': 1.5740154779091822, 'latency_mean': 5.049681361913681, 'latency_p50': 5.020084619522095, 'latency_p90': 5.71440327167511}, {'batch_size': 10, 'throughput': 1.5693861696257319, 'latency_mean': 6.323752635717392, 'latency_p50': 6.318972110748291, 'latency_p90': 7.25449914932251}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/MN-12B-Lyra-v4b1
model_name: lyra41
model_num_parameters: 12772070400.0
model_repo: Sao10K/MN-12B-Lyra-v4b1
model_size: 13B
num_battles: 16384
num_wins: 8394
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-07T18:02:40+00:00
us_pacific_date: 2024-09-07
win_ratio: 0.5123291015625
Resubmit model
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-v4b1-v1-mkmlizer
Waiting for job on sao10k-mn-12b-lyra-v4b1-v1-mkmlizer to finish
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ _____ __ __ ║
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sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ /___/ ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ Version: 0.10.1 ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ https://mk1.ai ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ ║
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sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ belonging to: ║
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sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: Downloaded to shared memory in 47.828s
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnctde_tw, device:0
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: quantized model in 35.537s
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: Processed model Sao10K/MN-12B-Lyra-v4b1 in 83.366s
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1/config.json
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1/special_tokens_map.json
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1/tokenizer_config.json
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1/tokenizer.json
sao10k-mn-12b-lyra-v4b1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-mn-12b-lyra-v4b1-v1/flywheel_model.0.safetensors
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Job sao10k-mn-12b-lyra-v4b1-v1-mkmlizer completed after 106.74s with status: succeeded
Stopping job with name sao10k-mn-12b-lyra-v4b1-v1-mkmlizer
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Creating inference service sao10k-mn-12b-lyra-v4b1-v1
Waiting for inference service sao10k-mn-12b-lyra-v4b1-v1 to be ready
Failed to get response for submission chaiml-elo-alignment-run-3_v36: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:34444->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service sao10k-mn-12b-lyra-v4b1-v1 ready after 150.791246175766s
Pipeline stage MKMLDeployer completed in 151.18s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.824636459350586s
Received healthy response to inference request in 2.150804281234741s
Received healthy response to inference request in 1.831810474395752s
Received healthy response to inference request in 2.042384624481201s
Received healthy response to inference request in 2.898942470550537s
5 requests
0 failed requests
5th percentile: 1.8739253044128419
10th percentile: 1.9160401344299316
20th percentile: 2.0002697944641112
30th percentile: 2.064068555831909
40th percentile: 2.107436418533325
50th percentile: 2.150804281234741
60th percentile: 2.4203371524810793
70th percentile: 2.689870023727417
80th percentile: 2.8394976615905763
90th percentile: 2.8692200660705565
95th percentile: 2.884081268310547
99th percentile: 2.895970230102539
mean time: 2.3497156620025637
Pipeline stage StressChecker completed in 12.64s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.98s
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Creating inference service sao10k-mn-12b-lyra-v4b1-v1-profiler
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Inference service sao10k-mn-12b-lyra-v4b1-v1-profiler ready after 150.41019916534424s
Pipeline stage MKMLProfilerDeployer completed in 151.04s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-mn-12b-lyra-v4b1-v1-profiler-predictor-00001-deploymjvwc:/code/chaiverse_profiler_1725732633 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-mn-12b-lyra-v4b1-v1-profiler-predictor-00001-deploymjvwc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725732633 && 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_1725732633/summary.json'
kubectl exec -it sao10k-mn-12b-lyra-v4b1-v1-profiler-predictor-00001-deploymjvwc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725732633/summary.json'
Pipeline stage MKMLProfilerRunner completed in 946.11s
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Checking if service sao10k-mn-12b-lyra-v4b1-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 1.78s
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sao10k-mn-12b-lyra-v4b1_v1 status is now inactive due to auto deactivation removed underperforming models
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admin requested tearing down of sao10k-mn-12b-lyra-v4b1_v1
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clean up pipeline due to error=TeardownError("module 'kubernetes.config' has no attribute 'load_kube_config'")
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