trace2333-mistral-trial6

submission_id: trace2333-mistral-trial6_v7

developer_uid: Trace2333

best_of: 8

celo_rating: 1261.11

display_name: trace2333-mistral-trial6_v7

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': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], '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_trial6

latencies: [{'batch_size': 1, 'throughput': 0.6891611665964446, 'latency_mean': 1.4509824657440185, 'latency_p50': 1.4452077150344849, 'latency_p90': 1.607437801361084}, {'batch_size': 3, 'throughput': 1.3441946731740373, 'latency_mean': 2.2250232231616973, 'latency_p50': 2.229312777519226, 'latency_p90': 2.4716946840286256}, {'batch_size': 5, 'throughput': 1.5641340828023147, 'latency_mean': 3.18346177816391, 'latency_p50': 3.178308367729187, 'latency_p90': 3.5676379919052126}, {'batch_size': 6, 'throughput': 1.6078715655514395, 'latency_mean': 3.70904011964798, 'latency_p50': 3.743173122406006, 'latency_p90': 4.233181715011597}, {'batch_size': 8, 'throughput': 1.6037938254895183, 'latency_mean': 4.958398458957672, 'latency_p50': 4.883913159370422, 'latency_p90': 5.682981610298157}, {'batch_size': 10, 'throughput': 1.5474590447320442, 'latency_mean': 6.430835030078888, 'latency_p50': 6.486454963684082, 'latency_p90': 7.308413767814636}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_trial6

model_name: trace2333-mistral-trial6_v7

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_trial6

model_size: 13B

num_battles: 14547

num_wins: 7866

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.62

timestamp: 2024-09-07T02:49:06+00:00

us_pacific_date: 2024-09-06

win_ratio: 0.5407300474324603

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trial6-v7-mkmlizer
Waiting for job on trace2333-mistral-trial6-v7-mkmlizer to finish
trace2333-mistral-trial6-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial6-v7-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial6-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial6-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial6-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial6-v7-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial6-v7-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v7-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial6-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial6-v7-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial6-v7-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial6-v7-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial6-v7-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v7-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial6-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial6-v7-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial6-v7-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial6-v7-mkmlizer: Downloaded to shared memory in 31.643s
trace2333-mistral-trial6-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvfty5bp4, device:0
trace2333-mistral-trial6-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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trace2333-mistral-trial6-v7-mkmlizer: quantized model in 36.980s
trace2333-mistral-trial6-v7-mkmlizer: Processed model Trace2333/mistral_trial6 in 68.623s
trace2333-mistral-trial6-v7-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial6-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial6-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial6-v7
trace2333-mistral-trial6-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v7/tokenizer.json
trace2333-mistral-trial6-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial6-v7/flywheel_model.0.safetensors
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Job trace2333-mistral-trial6-v7-mkmlizer completed after 104.83s with status: succeeded
Stopping job with name trace2333-mistral-trial6-v7-mkmlizer
Pipeline stage MKMLizer completed in 106.53s
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Creating inference service trace2333-mistral-trial6-v7
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Inference service trace2333-mistral-trial6-v7 ready after 140.69237327575684s
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Received healthy response to inference request in 2.1978845596313477s
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Received healthy response to inference request in 1.7763481140136719s
Received healthy response to inference request in 2.1614434719085693s
Received healthy response to inference request in 1.9296841621398926s
5 requests
0 failed requests
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mean time: 1.8918110370635985
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial6-v7-profiler-predictor-00001-deplo6wfnt:/code/chaiverse_profiler_1725677798 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial6-v7-profiler-predictor-00001-deplo6wfnt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725677798 && 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_1725677798/summary.json'
kubectl exec -it trace2333-mistral-trial6-v7-profiler-predictor-00001-deplo6wfnt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725677798/summary.json'
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