trace2333-mistral-trial2

submission_id: trace2333-mistral-trial2_v1

developer_uid: Trace2333

best_of: 8

celo_rating: 1244.02

display_name: trace2333-mistral-trial2_v1

family_friendly_score: 0.0

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': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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_trial2

latencies: [{'batch_size': 1, 'throughput': 0.6904116901739746, 'latency_mean': 1.448337435722351, 'latency_p50': 1.4566776752471924, 'latency_p90': 1.6120919227600097}, {'batch_size': 3, 'throughput': 1.3238391696366472, 'latency_mean': 2.2608130311965944, 'latency_p50': 2.2697041034698486, 'latency_p90': 2.5141143560409547}, {'batch_size': 5, 'throughput': 1.5459594996703658, 'latency_mean': 3.214732141494751, 'latency_p50': 3.20922315120697, 'latency_p90': 3.6223906755447386}, {'batch_size': 6, 'throughput': 1.5904910967147845, 'latency_mean': 3.7516858088970184, 'latency_p50': 3.7712888717651367, 'latency_p90': 4.176148295402527}, {'batch_size': 8, 'throughput': 1.5883413981827708, 'latency_mean': 5.005676721334457, 'latency_p50': 5.050478219985962, 'latency_p90': 5.651588058471679}, {'batch_size': 10, 'throughput': 1.5290200570362615, 'latency_mean': 6.496292276382446, 'latency_p50': 6.49753999710083, 'latency_p90': 7.3910136222839355}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_trial2

model_name: trace2333-mistral-trial2_v1

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_trial2

model_size: 13B

num_battles: 11943

num_wins: 6001

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.6

timestamp: 2024-09-05T03:26:36+00:00

us_pacific_date: 2024-09-04

win_ratio: 0.5024700661475341

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trial2-v1-mkmlizer
Waiting for job on trace2333-mistral-trial2-v1-mkmlizer to finish
trace2333-mistral-trial2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial2-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial2-v1-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial2-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trial2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial2-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trial2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial2-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial2-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trial2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial2-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trial2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial2-v1-mkmlizer: Downloaded to shared memory in 49.263s
trace2333-mistral-trial2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4rc5q33b, device:0
trace2333-mistral-trial2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
trace2333-mistral-trial2-v1-mkmlizer: quantized model in 36.480s
trace2333-mistral-trial2-v1-mkmlizer: Processed model Trace2333/mistral_trial2 in 85.743s
trace2333-mistral-trial2-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial2-v1
trace2333-mistral-trial2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial2-v1/config.json
trace2333-mistral-trial2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trial2-v1/special_tokens_map.json
trace2333-mistral-trial2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial2-v1/flywheel_model.0.safetensors
trace2333-mistral-trial2-v1-mkmlizer: 
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Job trace2333-mistral-trial2-v1-mkmlizer completed after 106.02s with status: succeeded
Stopping job with name trace2333-mistral-trial2-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.74s
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Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service trace2333-mistral-trial2-v1
Waiting for inference service trace2333-mistral-trial2-v1 to be ready
admin requested tearing down of nousresearch-meta-llama_4939_v19
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Inference service trace2333-mistral-trial2-v1 ready after 150.76700973510742s
Pipeline stage MKMLDeployer completed in 151.07s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6716341972351074s
Received healthy response to inference request in 1.434325933456421s
Received healthy response to inference request in 2.0886194705963135s
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Received healthy response to inference request in 2.2778704166412354s
Received healthy response to inference request in 1.170478105545044s
5 requests
0 failed requests
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mean time: 1.9285856246948243
Pipeline stage StressChecker completed in 10.46s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Waiting for inference service trace2333-mistral-trial2-v1-profiler to be ready
Inference service trace2333-mistral-trial2-v1-profiler ready after 140.360995054245s
Pipeline stage MKMLProfilerDeployer completed in 140.71s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial2-v1-profiler-predictor-00001-deplozxc85:/code/chaiverse_profiler_1725507249 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial2-v1-profiler-predictor-00001-deplozxc85 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725507249 && 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_1725507249/summary.json'
kubectl exec -it trace2333-mistral-trial2-v1-profiler-predictor-00001-deplozxc85 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725507249/summary.json'
Pipeline stage MKMLProfilerRunner completed in 957.91s
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Checking if service trace2333-mistral-trial2-v1-profiler is running
Tearing down inference service trace2333-mistral-trial2-v1-profiler
Service trace2333-mistral-trial2-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.82s
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trace2333-mistral-trial2_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-trial2_v1 status is now torndown due to DeploymentManager action