bbchicago-tang82mv-dpo-ep2

developer_uid: BBChicago

submission_id: bbchicago-tang82mv-dpo-ep2_v1

model_name: tang82mv-dpo-ep2

model_group: BBChicago/tang82mv-dpo-e

status: torndown

timestamp: 2025-04-30T02:37:45+00:00

num_battles: 6266

num_wins: 3104

celo_rating: 1287.16

family_friendly_score: 0.486

family_friendly_standard_error: 0.00706829540978587

submission_type: basic

model_repo: BBChicago/tang82mv-dpo-ep2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6075158025311331, 'latency_mean': 1.6459569692611695, 'latency_p50': 1.6422622203826904, 'latency_p90': 1.82936429977417}, {'batch_size': 3, 'throughput': 1.110247561054025, 'latency_mean': 2.6938210141658785, 'latency_p50': 2.6957170963287354, 'latency_p90': 2.986902618408203}, {'batch_size': 5, 'throughput': 1.3363999588307764, 'latency_mean': 3.725873302221298, 'latency_p50': 3.7219520807266235, 'latency_p90': 4.161222767829895}, {'batch_size': 6, 'throughput': 1.387595246121019, 'latency_mean': 4.306294730901718, 'latency_p50': 4.325532555580139, 'latency_p90': 4.900524973869324}, {'batch_size': 8, 'throughput': 1.4575456086490228, 'latency_mean': 5.461629728078842, 'latency_p50': 5.4525885581970215, 'latency_p90': 6.174394488334656}, {'batch_size': 10, 'throughput': 1.4946576019604523, 'latency_mean': 6.63421994805336, 'latency_p50': 6.599912047386169, 'latency_p90': 7.512363934516906}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: tang82mv-dpo-ep2

is_internal_developer: False

language_model: BBChicago/tang82mv-dpo-ep2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-04-29

win_ratio: 0.4953718480689435

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', '<', '>', '[INST]', '[\\INST]'], 'max_input_tokens': 1024, '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

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 bbchicago-tang82mv-dpo-ep2-v1-mkmlizer
Waiting for job on bbchicago-tang82mv-dpo-ep2-v1-mkmlizer to finish
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║     _____            __           __                                ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║       /___/                                                         ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║                                                                     ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║                                                                     ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  belonging to:                                                      ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║                                                                     ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ║                                                                     ║
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: Downloaded to shared memory in 44.154s
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp353zdsxb, device:0
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: quantized model in 36.431s
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: Processed model BBChicago/tang82mv-dpo-ep2 in 80.586s
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: creating bucket guanaco-mkml-models
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1/config.json
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1/special_tokens_map.json
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1/tokenizer_config.json
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1/tokenizer.json
bbchicago-tang82mv-dpo-ep2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bbchicago-tang82mv-dpo-ep2-v1/flywheel_model.0.safetensors
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Job bbchicago-tang82mv-dpo-ep2-v1-mkmlizer completed after 104.43s with status: succeeded
Stopping job with name bbchicago-tang82mv-dpo-ep2-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.93s
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Creating inference service bbchicago-tang82mv-dpo-ep2-v1
Waiting for inference service bbchicago-tang82mv-dpo-ep2-v1 to be ready
Inference service bbchicago-tang82mv-dpo-ep2-v1 ready after 140.45454621315002s
Pipeline stage MKMLDeployer completed in 140.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.132807731628418s
Received healthy response to inference request in 1.4092378616333008s
Received healthy response to inference request in 1.6453688144683838s
Received healthy response to inference request in 1.2754621505737305s
Received healthy response to inference request in 1.0700888633728027s
5 requests
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mean time: 1.5065930843353272
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