submission_id: trace2333-mistral-trail8_v1
developer_uid: Trace2333
alignment_samples: 11611
alignment_score: -0.22791653919826546
best_of: 8
celo_rating: 1247.11
display_name: trace2333-mistral-trail8_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', '</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_trail8
latencies: [{'batch_size': 1, 'throughput': 0.6935087601446155, 'latency_mean': 1.4418474531173706, 'latency_p50': 1.4431079626083374, 'latency_p90': 1.5989545106887817}, {'batch_size': 3, 'throughput': 1.3273178588792525, 'latency_mean': 2.2509295678138734, 'latency_p50': 2.249931573867798, 'latency_p90': 2.504807686805725}, {'batch_size': 5, 'throughput': 1.5617523254711232, 'latency_mean': 3.179959827661514, 'latency_p50': 3.193737268447876, 'latency_p90': 3.6332452058792115}, {'batch_size': 6, 'throughput': 1.6135465022567845, 'latency_mean': 3.698006418943405, 'latency_p50': 3.6983309984207153, 'latency_p90': 4.145900988578796}, {'batch_size': 8, 'throughput': 1.603226856104757, 'latency_mean': 4.963734716176987, 'latency_p50': 4.980026841163635, 'latency_p90': 5.6028172969818115}, {'batch_size': 10, 'throughput': 1.5411055092907846, 'latency_mean': 6.452961634397507, 'latency_p50': 6.571388602256775, 'latency_p90': 7.222757029533386}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trail8
model_name: trace2333-mistral-trail8_v1
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trail8
model_size: 13B
num_battles: 11607
num_wins: 6397
propriety_score: 0.7584493041749503
propriety_total_count: 1006.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-10T08:47:23+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5511329370207634
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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-trail8-v1-mkmlizer
Waiting for job on trace2333-mistral-trail8-v1-mkmlizer to finish
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trace2333-mistral-trail8-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trail8-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trail8-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trail8-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trail8-v1-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trail8-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail8-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trail8-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trail8-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trail8-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail8-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trail8-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trail8-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail8-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trail8-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trail8-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trail8-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trail8-v1-mkmlizer: Downloaded to shared memory in 41.031s
trace2333-mistral-trail8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdmufskn_, device:0
trace2333-mistral-trail8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail8-v1-mkmlizer: quantized model in 36.745s
trace2333-mistral-trail8-v1-mkmlizer: Processed model Trace2333/mistral_trail8 in 77.777s
trace2333-mistral-trail8-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trail8-v1
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/config.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/special_tokens_map.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/tokenizer_config.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/tokenizer.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-trail8-v1-mkmlizer completed after 105.04s with status: succeeded
Stopping job with name trace2333-mistral-trail8-v1-mkmlizer
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Creating inference service trace2333-mistral-trail8-v1
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Inference service trace2333-mistral-trail8-v1 ready after 161.5182158946991s
Pipeline stage MKMLDeployer completed in 162.29s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.730696678161621s
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Received healthy response to inference request in 2.750298023223877s
Received healthy response to inference request in 2.718851327896118s
Received healthy response to inference request in 2.1431665420532227s
5 requests
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5th percentile: 2.258303499221802
10th percentile: 2.373440456390381
20th percentile: 2.603714370727539
30th percentile: 2.7212203979492187
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90th percentile: 2.751760149002075
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mean time: 2.6191494941711424
Pipeline stage StressChecker completed in 14.05s
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Creating inference service trace2333-mistral-trail8-v1-profiler
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Inference service trace2333-mistral-trail8-v1-profiler ready after 160.42697930335999s
Pipeline stage MKMLProfilerDeployer completed in 161.09s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc:/code/chaiverse_profiler_1725958534 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725958534 && 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_1725958534/summary.json'
kubectl exec -it trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725958534/summary.json'
Pipeline stage MKMLProfilerRunner completed in 951.30s
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Shutdown handler de-registered
trace2333-mistral-trail8_v1 status is now inactive due to auto deactivation removed underperforming models