chaiml-gy-exp83-sftdpo-_86981

developer_uid: bogoconic1

submission_id: chaiml-gy-exp83-sftdpo-_86981_v1

model_name: chaiml-gy-exp83-sftdpo-_86981_v1

model_group: ChaiML/gy-exp83-sftdpo-e

status: torndown

timestamp: 2025-07-04T21:41:38+00:00

num_battles: 6489

num_wins: 3394

celo_rating: 1303.71

family_friendly_score: 0.47619999999999996

family_friendly_standard_error: 0.0070630525978503085

submission_type: basic

model_repo: ChaiML/gy-exp83-sftdpo-exp72data-ep2

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.5245098178245071, 'latency_mean': 1.9064433908462524, 'latency_p50': 1.8871793746948242, 'latency_p90': 2.1352407932281494}, {'batch_size': 3, 'throughput': 1.0536425574552581, 'latency_mean': 2.8348792505264284, 'latency_p50': 2.8145973682403564, 'latency_p90': 3.150617218017578}, {'batch_size': 5, 'throughput': 1.331933509376099, 'latency_mean': 3.7351230466365815, 'latency_p50': 3.725906491279602, 'latency_p90': 4.2860770463943485}, {'batch_size': 6, 'throughput': 1.4314682449782106, 'latency_mean': 4.161463426351547, 'latency_p50': 4.179893374443054, 'latency_p90': 4.669124150276184}, {'batch_size': 8, 'throughput': 1.5800457354675772, 'latency_mean': 5.024654412269593, 'latency_p50': 5.051478624343872, 'latency_p90': 5.597767424583435}, {'batch_size': 10, 'throughput': 1.657000546361661, 'latency_mean': 5.976356016397476, 'latency_p50': 5.958998799324036, 'latency_p90': 6.641492009162903}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: chaiml-gy-exp83-sftdpo-_86981_v1

is_internal_developer: True

language_model: ChaiML/gy-exp83-sftdpo-exp72data-ep2

model_size: 24B

ranking_group: single

throughput_3p7s: 1.33

us_pacific_date: 2025-07-04

win_ratio: 0.5230389890584065

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_end|>', '\n', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer
Waiting for job on chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer to finish
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chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: Downloaded to shared memory in 78.961s
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: Checking if ChaiML/gy-exp83-sftdpo-exp72data-ep2 already exists in ChaiML
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp25eiwb2j, device:0
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: quantized model in 48.684s
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: Processed model ChaiML/gy-exp83-sftdpo-exp72data-ep2 in 127.645s
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/config.json
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/special_tokens_map.json
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/tokenizer_config.json
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/tokenizer.json
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp83-sftdpo-86981-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer completed after 155.85s with status: succeeded
Stopping job with name chaiml-gy-exp83-sftdpo-86981-v1-mkmlizer
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Inference service chaiml-gy-exp83-sftdpo-86981-v1 ready after 431.7868764400482s
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