submission_id: trace2333-mistral-trial6_v9
developer_uid: Trace2333
alignment_samples: 12684
alignment_score: -0.10483011928590737
best_of: 8
celo_rating: 1252.52
display_name: trace2333-mistral-trial6_v9
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', '</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_trial6
latencies: [{'batch_size': 1, 'throughput': 0.6950996167593139, 'latency_mean': 1.438545718193054, 'latency_p50': 1.4273693561553955, 'latency_p90': 1.6027210712432862}, {'batch_size': 3, 'throughput': 1.3305475134350775, 'latency_mean': 2.248687745332718, 'latency_p50': 2.226837992668152, 'latency_p90': 2.494671869277954}, {'batch_size': 5, 'throughput': 1.5753271559419646, 'latency_mean': 3.152084484100342, 'latency_p50': 3.1452490091323853, 'latency_p90': 3.560555768013}, {'batch_size': 6, 'throughput': 1.6146969706690284, 'latency_mean': 3.681075146198273, 'latency_p50': 3.6742465496063232, 'latency_p90': 4.157620072364807}, {'batch_size': 8, 'throughput': 1.6114963609668644, 'latency_mean': 4.921248828172684, 'latency_p50': 4.940051555633545, 'latency_p90': 5.538960790634155}, {'batch_size': 10, 'throughput': 1.5510680409592956, 'latency_mean': 6.416942157745361, 'latency_p50': 6.447903037071228, 'latency_p90': 7.378565239906311}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trial6
model_name: trace2333-mistral-trial6_v9
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trial6
model_size: 13B
num_battles: 12682
num_wins: 6874
propriety_score: 0.7272727272727273
propriety_total_count: 1089.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-07T04:16:33+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5420280712821322
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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-trial6-v9-mkmlizer
Waiting for job on trace2333-mistral-trial6-v9-mkmlizer to finish
trace2333-mistral-trial6-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial6-v9-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial6-v9-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial6-v9-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial6-v9-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial6-v9-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial6-v9-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v9-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial6-v9-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial6-v9-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial6-v9-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial6-v9-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial6-v9-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v9-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial6-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial6-v9-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial6-v9-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial6-v9-mkmlizer: Downloaded to shared memory in 55.325s
trace2333-mistral-trial6-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr33vvhbx, device:0
trace2333-mistral-trial6-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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trace2333-mistral-trial6-v9-mkmlizer: quantized model in 36.591s
trace2333-mistral-trial6-v9-mkmlizer: Processed model Trace2333/mistral_trial6 in 91.916s
trace2333-mistral-trial6-v9-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial6-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial6-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial6-v9
trace2333-mistral-trial6-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v9/config.json
trace2333-mistral-trial6-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v9/special_tokens_map.json
trace2333-mistral-trial6-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v9/tokenizer_config.json
trace2333-mistral-trial6-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v9/tokenizer.json
trace2333-mistral-trial6-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial6-v9/flywheel_model.0.safetensors
trace2333-mistral-trial6-v9-mkmlizer: 
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Job trace2333-mistral-trial6-v9-mkmlizer completed after 115.26s with status: succeeded
Stopping job with name trace2333-mistral-trial6-v9-mkmlizer
Pipeline stage MKMLizer completed in 117.03s
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Creating inference service trace2333-mistral-trial6-v9
Waiting for inference service trace2333-mistral-trial6-v9 to be ready
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Inference service trace2333-mistral-trial6-v9 ready after 240.78208708763123s
Pipeline stage MKMLDeployer completed in 241.13s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1790974140167236s
Received healthy response to inference request in 2.0098214149475098s
Received healthy response to inference request in 2.0131630897521973s
Received healthy response to inference request in 2.3251864910125732s
Received healthy response to inference request in 2.0652363300323486s
5 requests
0 failed requests
5th percentile: 2.010489749908447
10th percentile: 2.011158084869385
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50th percentile: 2.0652363300323486
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90th percentile: 2.266750860214233
95th percentile: 2.2959686756134032
99th percentile: 2.3193429279327393
mean time: 2.1185009479522705
Pipeline stage StressChecker completed in 11.41s
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 4.45s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service trace2333-mistral-trial6-v9-profiler
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Inference service trace2333-mistral-trial6-v9-profiler ready after 130.2958550453186s
Pipeline stage MKMLProfilerDeployer completed in 130.64s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial6-v9-profiler-predictor-00001-deplocn5gp:/code/chaiverse_profiler_1725683133 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial6-v9-profiler-predictor-00001-deplocn5gp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725683133 && 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_1725683133/summary.json'
kubectl exec -it trace2333-mistral-trial6-v9-profiler-predictor-00001-deplocn5gp --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725683133/summary.json'
Pipeline stage MKMLProfilerRunner completed in 947.31s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-trial6-v9-profiler is running
Tearing down inference service trace2333-mistral-trial6-v9-profiler
Service trace2333-mistral-trial6-v9-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.67s
Shutdown handler de-registered
trace2333-mistral-trial6_v9 status is now inactive due to auto deactivation removed underperforming models

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