rica40325-lora32-third-step

submission_id: rica40325-lora32-third-step_v5

developer_uid: rica40325

best_of: 16

celo_rating: 1254.82

display_name: rica40325-lora32-third-step_v2

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': 1.15, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: rica40325/lora32_third_step

latencies: [{'batch_size': 1, 'throughput': 0.9151423655944816, 'latency_mean': 1.092667589187622, 'latency_p50': 1.0944503545761108, 'latency_p90': 1.2223295211791991}, {'batch_size': 4, 'throughput': 1.7985631054077684, 'latency_mean': 2.2135909175872803, 'latency_p50': 2.244563579559326, 'latency_p90': 2.4717017889022825}, {'batch_size': 5, 'throughput': 1.9252793300256488, 'latency_mean': 2.5864245820045473, 'latency_p50': 2.6094610691070557, 'latency_p90': 2.881533455848694}, {'batch_size': 8, 'throughput': 2.0451326202120717, 'latency_mean': 3.8896944451332094, 'latency_p50': 3.901007652282715, 'latency_p90': 4.349753212928772}, {'batch_size': 10, 'throughput': 2.0689926990174676, 'latency_mean': 4.786376857757569, 'latency_p50': 4.762217879295349, 'latency_p90': 5.533208656311035}, {'batch_size': 12, 'throughput': 2.0435422839155977, 'latency_mean': 5.794221022129059, 'latency_p50': 5.830098986625671, 'latency_p90': 6.643158411979675}, {'batch_size': 15, 'throughput': 2.068250066742336, 'latency_mean': 7.107808477878571, 'latency_p50': 7.172149896621704, 'latency_p90': 7.920443820953369}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: rica40325/lora32_third_s

model_name: rica40325-lora32-third-step_v2

model_num_parameters: 8030261248.0

model_repo: rica40325/lora32_third_step

model_size: 8B

num_battles: 12191

num_wins: 6343

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 2.04

timestamp: 2024-09-05T08:03:23+00:00

us_pacific_date: 2024-09-05

win_ratio: 0.5203018620293659

Resubmit model

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 rica40325-lora32-third-step-v5-mkmlizer
Waiting for job on rica40325-lora32-third-step-v5-mkmlizer to finish
rica40325-lora32-third-step-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-lora32-third-step-v5-mkmlizer: ║     _____            __           __                                ║
rica40325-lora32-third-step-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-lora32-third-step-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-lora32-third-step-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-lora32-third-step-v5-mkmlizer: ║       /___/                                                         ║
rica40325-lora32-third-step-v5-mkmlizer: ║                                                                     ║
rica40325-lora32-third-step-v5-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-lora32-third-step-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-lora32-third-step-v5-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-lora32-third-step-v5-mkmlizer: ║                                                                     ║
rica40325-lora32-third-step-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-lora32-third-step-v5-mkmlizer: ║  belonging to:                                                      ║
rica40325-lora32-third-step-v5-mkmlizer: ║                                                                     ║
rica40325-lora32-third-step-v5-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-lora32-third-step-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-lora32-third-step-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-lora32-third-step-v5-mkmlizer: ║                                                                     ║
rica40325-lora32-third-step-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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rica40325-lora32-third-step-v5-mkmlizer: Downloaded to shared memory in 36.618s
rica40325-lora32-third-step-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsggj3099, device:0
rica40325-lora32-third-step-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-lora32-third-step-v5-mkmlizer: quantized model in 26.754s
rica40325-lora32-third-step-v5-mkmlizer: Processed model rica40325/lora32_third_step in 63.372s
rica40325-lora32-third-step-v5-mkmlizer: creating bucket guanaco-mkml-models
rica40325-lora32-third-step-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-lora32-third-step-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-lora32-third-step-v5
rica40325-lora32-third-step-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-lora32-third-step-v5/special_tokens_map.json
rica40325-lora32-third-step-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-lora32-third-step-v5/config.json
rica40325-lora32-third-step-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-lora32-third-step-v5/tokenizer_config.json
rica40325-lora32-third-step-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-lora32-third-step-v5/tokenizer.json
rica40325-lora32-third-step-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-lora32-third-step-v5/flywheel_model.0.safetensors
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Job rica40325-lora32-third-step-v5-mkmlizer completed after 93.96s with status: succeeded
Stopping job with name rica40325-lora32-third-step-v5-mkmlizer
Pipeline stage MKMLizer completed in 94.86s
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Creating inference service rica40325-lora32-third-step-v5
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Inference service rica40325-lora32-third-step-v5 ready after 140.98420333862305s
Pipeline stage MKMLDeployer completed in 141.37s
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Received healthy response to inference request in 2.15454363822937s
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Received healthy response to inference request in 2.0561683177948s
Received healthy response to inference request in 1.9012622833251953s
Received healthy response to inference request in 1.4248723983764648s
5 requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-lora32-thi2fecb6ccf25d8a507df26d9cb8a79ef3-deploxkstg:/code/chaiverse_profiler_1725523838 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-lora32-thi2fecb6ccf25d8a507df26d9cb8a79ef3-deploxkstg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725523838 && python profiles.py profile --best_of_n 16 --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_1725523838/summary.json'
kubectl exec -it rica40325-lora32-thi2fecb6ccf25d8a507df26d9cb8a79ef3-deploxkstg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725523838/summary.json'
Pipeline stage MKMLProfilerRunner completed in 828.51s
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rica40325-lora32-third-step_v5 status is now inactive due to auto deactivation removed underperforming models
rica40325-lora32-third-step_v5 status is now torndown due to DeploymentManager action