trace2333-mistral-trail11

submission_id: trace2333-mistral-trail11_v1

developer_uid: Trace2333

alignment_samples: 9978

alignment_score: 0.1348015927999682

best_of: 8

celo_rating: 1230.1

display_name: trace2333-mistral-trail11_v1

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_trail11

latencies: [{'batch_size': 1, 'throughput': 0.6956250056762137, 'latency_mean': 1.4374959409236907, 'latency_p50': 1.4316385984420776, 'latency_p90': 1.5905717134475708}, {'batch_size': 3, 'throughput': 1.3190874871998584, 'latency_mean': 2.265435138940811, 'latency_p50': 2.2513598203659058, 'latency_p90': 2.5360119104385377}, {'batch_size': 5, 'throughput': 1.5639278278216846, 'latency_mean': 3.1831467163562777, 'latency_p50': 3.170362949371338, 'latency_p90': 3.583970832824707}, {'batch_size': 6, 'throughput': 1.5964464687674413, 'latency_mean': 3.738384635448456, 'latency_p50': 3.761726498603821, 'latency_p90': 4.19273612499237}, {'batch_size': 8, 'throughput': 1.5913291609764364, 'latency_mean': 4.997027246952057, 'latency_p50': 4.9829185009002686, 'latency_p90': 5.7513188123703}, {'batch_size': 10, 'throughput': 1.5136667032954196, 'latency_mean': 6.562461552619934, 'latency_p50': 6.646388292312622, 'latency_p90': 7.415664172172546}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_trail1

model_name: trace2333-mistral-trail11_v1

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_trail11

model_size: 13B

num_battles: 9978

num_wins: 4794

propriety_score: 0.7153931339977851

propriety_total_count: 903.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.6

timestamp: 2024-09-12T02:56:18+00:00

us_pacific_date: 2024-09-11

win_ratio: 0.48045700541190617

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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-trail11-v1-mkmlizer
Waiting for job on trace2333-mistral-trail11-v1-mkmlizer to finish
trace2333-mistral-trail11-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail11-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trail11-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trail11-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trail11-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trail11-v1-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trail11-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail11-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trail11-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trail11-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trail11-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail11-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trail11-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trail11-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail11-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trail11-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trail11-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trail11-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail11-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trail11-v1-mkmlizer: Downloaded to shared memory in 46.515s
trace2333-mistral-trail11-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0wu44qb1, device:0
trace2333-mistral-trail11-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail11-v1-mkmlizer: quantized model in 36.849s
trace2333-mistral-trail11-v1-mkmlizer: Processed model Trace2333/mistral_trail11 in 83.364s
trace2333-mistral-trail11-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail11-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail11-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trail11-v1
trace2333-mistral-trail11-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail11-v1/config.json
trace2333-mistral-trail11-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail11-v1/special_tokens_map.json
trace2333-mistral-trail11-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail11-v1/tokenizer_config.json
trace2333-mistral-trail11-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail11-v1/tokenizer.json
trace2333-mistral-trail11-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail11-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-trail11-v1-mkmlizer completed after 105.53s with status: succeeded
Stopping job with name trace2333-mistral-trail11-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.57s
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Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service trace2333-mistral-trail11-v1
Waiting for inference service trace2333-mistral-trail11-v1 to be ready
Inference service trace2333-mistral-trail11-v1 ready after 170.40427827835083s
Pipeline stage MKMLDeployer completed in 170.72s
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Running pipeline stage StressChecker
Received healthy response to inference request in 15.457670211791992s
Received healthy response to inference request in 2.892667293548584s
Received healthy response to inference request in 1.9258286952972412s
Received healthy response to inference request in 2.359278440475464s
Received healthy response to inference request in 1.9278039932250977s
5 requests
0 failed requests
5th percentile: 1.9262237548828125
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90th percentile: 10.43166904449463
95th percentile: 12.94466962814331
99th percentile: 14.955070095062256
mean time: 4.912649726867675
Pipeline stage StressChecker completed in 25.17s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.61s
Shutdown handler de-registered
trace2333-mistral-trail11_v1 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Inference service trace2333-mistral-trail11-v1-profiler ready after 170.51791834831238s
Pipeline stage MKMLProfilerDeployer completed in 172.30s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-tr6e3f4d8d49f51af6823f5373d37b03b5-deplo7n4z5:/code/chaiverse_profiler_1726110321 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-tr6e3f4d8d49f51af6823f5373d37b03b5-deplo7n4z5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726110321 && 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_1726110321/summary.json'
kubectl exec -it trace2333-mistral-tr6e3f4d8d49f51af6823f5373d37b03b5-deplo7n4z5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726110321/summary.json'
Pipeline stage MKMLProfilerRunner completed in 957.83s
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Checking if service trace2333-mistral-trail11-v1-profiler is running
Tearing down inference service trace2333-mistral-trail11-v1-profiler
Service trace2333-mistral-trail11-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.88s
Shutdown handler de-registered
trace2333-mistral-trail11_v1 status is now inactive due to auto deactivation removed underperforming models