submission_id: trace2333-mistral-trial5_v2
developer_uid: Trace2333
alignment_samples: 11395
alignment_score: -0.4188601956888027
best_of: 8
celo_rating: 1258.06
display_name: trace2333-mistral-trial5_v2
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Trace2333/mistral_trial5
latencies: [{'batch_size': 1, 'throughput': 0.6954310667669519, 'latency_mean': 1.437859935760498, 'latency_p50': 1.439568042755127, 'latency_p90': 1.607204794883728}, {'batch_size': 3, 'throughput': 1.3380090627880545, 'latency_mean': 2.2350155675411223, 'latency_p50': 2.2342591285705566, 'latency_p90': 2.463978910446167}, {'batch_size': 5, 'throughput': 1.5714010423257307, 'latency_mean': 3.155689210891724, 'latency_p50': 3.174982786178589, 'latency_p90': 3.5407263755798337}, {'batch_size': 6, 'throughput': 1.6055112033439494, 'latency_mean': 3.710464131832123, 'latency_p50': 3.720849871635437, 'latency_p90': 4.188978242874145}, {'batch_size': 8, 'throughput': 1.5989279374333991, 'latency_mean': 4.966342386007309, 'latency_p50': 5.013275623321533, 'latency_p90': 5.54716203212738}, {'batch_size': 10, 'throughput': 1.5512761530978543, 'latency_mean': 6.413260577917099, 'latency_p50': 6.426069140434265, 'latency_p90': 7.24365873336792}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trial5
model_name: trace2333-mistral-trial5_v2
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trial5
model_size: 13B
num_battles: 11394
num_wins: 5974
propriety_score: 0.7214566929133859
propriety_total_count: 1016.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-06T05:17:04+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.5243110408987186
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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 trace2333-mistral-trial5-v2-mkmlizer
Waiting for job on trace2333-mistral-trial5-v2-mkmlizer to finish
trace2333-mistral-trial5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial5-v2-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial5-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial5-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial5-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial5-v2-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial5-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-trial5-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial5-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial5-v2-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial5-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-trial5-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial5-v2-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial5-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-trial5-v2-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial5-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial5-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial5-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-trial5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial5-v2-mkmlizer: Downloaded to shared memory in 29.078s
trace2333-mistral-trial5-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9tn_56ez, device:0
trace2333-mistral-trial5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trial5-v2-mkmlizer: quantized model in 34.910s
trace2333-mistral-trial5-v2-mkmlizer: Processed model Trace2333/mistral_trial5 in 63.988s
trace2333-mistral-trial5-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial5-v2
trace2333-mistral-trial5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial5-v2/config.json
trace2333-mistral-trial5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trial5-v2/special_tokens_map.json
trace2333-mistral-trial5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial5-v2/tokenizer.json
trace2333-mistral-trial5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial5-v2/flywheel_model.0.safetensors
trace2333-mistral-trial5-v2-mkmlizer: 
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Job trace2333-mistral-trial5-v2-mkmlizer completed after 94.53s with status: succeeded
Stopping job with name trace2333-mistral-trial5-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.26s
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Pipeline stage MKMLTemplater completed in 0.27s
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Running pipeline stage MKMLDeployer
Creating inference service trace2333-mistral-trial5-v2
Waiting for inference service trace2333-mistral-trial5-v2 to be ready
Inference service trace2333-mistral-trial5-v2 ready after 150.51861190795898s
Pipeline stage MKMLDeployer completed in 150.91s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.360499382019043s
Received healthy response to inference request in 1.6428263187408447s
Received healthy response to inference request in 1.660970687866211s
Received healthy response to inference request in 1.9756462574005127s
Received healthy response to inference request in 1.9753408432006836s
5 requests
0 failed requests
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80th percentile: 2.052616882324219
90th percentile: 2.2065581321716308
95th percentile: 2.2835287570953366
99th percentile: 2.3451052570343016
mean time: 1.923056697845459
Pipeline stage StressChecker completed in 10.97s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 7.86s
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Creating inference service trace2333-mistral-trial5-v2-profiler
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Inference service trace2333-mistral-trial5-v2-profiler ready after 150.34927821159363s
Pipeline stage MKMLProfilerDeployer completed in 150.72s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial5-v2-profiler-predictor-00001-deplom7pl7:/code/chaiverse_profiler_1725600280 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial5-v2-profiler-predictor-00001-deplom7pl7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725600280 && 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_1725600280/summary.json'
kubectl exec -it trace2333-mistral-trial5-v2-profiler-predictor-00001-deplom7pl7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725600280/summary.json'
Pipeline stage MKMLProfilerRunner completed in 949.71s
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Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-trial5-v2-profiler is running
Tearing down inference service trace2333-mistral-trial5-v2-profiler
Service trace2333-mistral-trial5-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.68s
Shutdown handler de-registered
trace2333-mistral-trial5_v2 status is now inactive due to auto deactivation removed underperforming models

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