shenzhi-wang-llama3-1-8b_9996

submission_id: shenzhi-wang-llama3-1-8b_9996_v1

developer_uid: shiya

best_of: 8

celo_rating: 1218.2

display_name: Llama31-8B-Chinese-Chat

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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: shenzhi-wang/Llama3.1-8B-Chinese-Chat

latencies: [{'batch_size': 1, 'throughput': 0.8635358881002675, 'latency_mean': 1.1579695224761963, 'latency_p50': 1.1676701307296753, 'latency_p90': 1.2737719058990478}, {'batch_size': 4, 'throughput': 1.828607131596326, 'latency_mean': 2.1793284714221954, 'latency_p50': 2.1853615045547485, 'latency_p90': 2.4472256183624266}, {'batch_size': 5, 'throughput': 1.9556202155499582, 'latency_mean': 2.543530591726303, 'latency_p50': 2.5640789270401, 'latency_p90': 2.8480534076690676}, {'batch_size': 8, 'throughput': 2.130423667939561, 'latency_mean': 3.7343252432346343, 'latency_p50': 3.761553406715393, 'latency_p90': 4.216649603843689}, {'batch_size': 10, 'throughput': 2.15216545426666, 'latency_mean': 4.617945420742035, 'latency_p50': 4.592981457710266, 'latency_p90': 5.312287020683288}, {'batch_size': 12, 'throughput': 2.1648363499372376, 'latency_mean': 5.490259439945221, 'latency_p50': 5.498508334159851, 'latency_p90': 6.1673398256301875}, {'batch_size': 15, 'throughput': 2.134514846708871, 'latency_mean': 6.9387581706047055, 'latency_p50': 6.9760377407073975, 'latency_p90': 7.77521014213562}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: shenzhi-wang/Llama3.1-8B

model_name: Llama31-8B-Chinese-Chat

model_num_parameters: 8030261248.0

model_repo: shenzhi-wang/Llama3.1-8B-Chinese-Chat

model_size: 8B

num_battles: 448875

num_wins: 204402

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 2.14

timestamp: 2024-09-21T00:25:33+00:00

us_pacific_date: 2024-09-20

win_ratio: 0.45536507936507936

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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 shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer
Waiting for job on shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer to finish
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║     _____            __           __                                ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║       /___/                                                         ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║                                                                     ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  https://mk1.ai                                                     ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║                                                                     ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  belonging to:                                                      ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║                                                                     ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  Chai Research Corp.                                                ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ║                                                                     ║
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: Downloaded to shared memory in 100.240s
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvj6ppaon, device:0
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: quantized model in 25.974s
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: Processed model shenzhi-wang/Llama3.1-8B-Chinese-Chat in 126.214s
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: creating bucket guanaco-mkml-models
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1/config.json
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1/special_tokens_map.json
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1/tokenizer_config.json
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1/tokenizer.json
shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/shenzhi-wang-llama3-1-8b-9996-v1/flywheel_model.0.safetensors
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Job shenzhi-wang-llama3-1-8b-9996-v1-mkmlizer completed after 150.43s with status: succeeded
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Inference service shenzhi-wang-llama3-1-8b-9996-v1 ready after 200.90104866027832s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/shenzhi-wang-llama3-c34d334e06f2f8b5ca7b0d353c8cf456-deplo9x6d8:/code/chaiverse_profiler_1726879039 --namespace tenant-chaiml-guanaco
kubectl exec -it shenzhi-wang-llama3-c34d334e06f2f8b5ca7b0d353c8cf456-deplo9x6d8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726879039 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726879039/summary.json'
kubectl exec -it shenzhi-wang-llama3-c34d334e06f2f8b5ca7b0d353c8cf456-deplo9x6d8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726879039/summary.json'
Pipeline stage MKMLProfilerRunner completed in 835.57s
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Checking if service shenzhi-wang-llama3-1-8b-9996-v1-profiler is running
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Service shenzhi-wang-llama3-1-8b-9996-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 16.45s
Shutdown handler de-registered
shenzhi-wang-llama3-1-8b_9996_v1 status is now inactive due to auto deactivation removed underperforming models
shenzhi-wang-llama3-1-8b_9996_v1 status is now torndown due to DeploymentManager action