trace2333-mistral-trial6

developer_uid: Trace2333
submission_id: trace2333-mistral-trial6_v6
model_name: trace2333-mistral-trial6_v6
model_group: Trace2333/mistral_trial6
status: torndown
timestamp: 2024-09-06T17:39:08+00:00
num_battles: 11785
num_wins: 6111
celo_rating: 1255.76
family_friendly_score: 0.0
submission_type: basic
model_repo: Trace2333/mistral_trial6
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6875350357843835, 'latency_mean': 1.454413765668869, 'latency_p50': 1.4501441717147827, 'latency_p90': 1.6236037731170654}, {'batch_size': 3, 'throughput': 1.3114133114324216, 'latency_mean': 2.284491777420044, 'latency_p50': 2.278613328933716, 'latency_p90': 2.5419103384017943}, {'batch_size': 5, 'throughput': 1.5497824812176024, 'latency_mean': 3.2122978937625883, 'latency_p50': 3.21246600151062, 'latency_p90': 3.665195345878601}, {'batch_size': 6, 'throughput': 1.5711260841527075, 'latency_mean': 3.7973102390766145, 'latency_p50': 3.8249716758728027, 'latency_p90': 4.186433100700379}, {'batch_size': 8, 'throughput': 1.5804647523188329, 'latency_mean': 5.029477062225342, 'latency_p50': 5.0435545444488525, 'latency_p90': 5.770536041259765}, {'batch_size': 10, 'throughput': 1.5320944449502047, 'latency_mean': 6.4814186131954195, 'latency_p50': 6.517668843269348, 'latency_p90': 7.28006739616394}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: trace2333-mistral-trial6_v6
is_internal_developer: False
language_model: Trace2333/mistral_trial6
model_size: 13B
ranking_group: single
throughput_3p7s: 1.58
us_pacific_date: 2024-09-06
win_ratio: 0.5185405176071277
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}
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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trial6-v6-mkmlizer
Waiting for job on trace2333-mistral-trial6-v6-mkmlizer to finish
trace2333-mistral-trial6-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial6-v6-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial6-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial6-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial6-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial6-v6-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial6-v6-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v6-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial6-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial6-v6-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial6-v6-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial6-v6-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial6-v6-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v6-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial6-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial6-v6-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial6-v6-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial6-v6-mkmlizer: Downloaded to shared memory in 28.082s
trace2333-mistral-trial6-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuz3oqpbe, device:0
trace2333-mistral-trial6-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trial6-v6-mkmlizer: quantized model in 36.271s
trace2333-mistral-trial6-v6-mkmlizer: Processed model Trace2333/mistral_trial6 in 64.353s
trace2333-mistral-trial6-v6-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial6-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial6-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial6-v6
trace2333-mistral-trial6-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v6/config.json
trace2333-mistral-trial6-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v6/special_tokens_map.json
trace2333-mistral-trial6-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v6/tokenizer_config.json
trace2333-mistral-trial6-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v6/tokenizer.json
trace2333-mistral-trial6-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial6-v6/flywheel_model.0.safetensors
trace2333-mistral-trial6-v6-mkmlizer: 
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Job trace2333-mistral-trial6-v6-mkmlizer completed after 85.39s with status: succeeded
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Inference service trace2333-mistral-trial6-v6 ready after 140.990873336792s
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Received healthy response to inference request in 2.4144396781921387s
Received healthy response to inference request in 1.4406208992004395s
Received healthy response to inference request in 2.82425856590271s
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5th percentile: 1.5198153018951417
10th percentile: 1.5990097045898437
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70th percentile: 2.3528952121734616
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90th percentile: 2.6603310108184814
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial6-v6-profiler-predictor-00001-deplo4kd7b:/code/chaiverse_profiler_1725644786 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial6-v6-profiler-predictor-00001-deplo4kd7b --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725644786 && 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_1725644786/summary.json'
kubectl exec -it trace2333-mistral-trial6-v6-profiler-predictor-00001-deplo4kd7b --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725644786/summary.json'
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