chaiml-gy-exp126-dpo-e_77990

developer_uid: bogoconic1

submission_id: chaiml-gy-exp126-dpo-e_77990_v16

model_name: chaiml-gy-exp126-dpo-e_77990_v16

model_group: ChaiML/gy-exp126-dpo-exp

status: torndown

timestamp: 2025-07-12T19:03:05+00:00

num_battles: 7002

num_wins: 3951

celo_rating: 1322.1

family_friendly_score: 0.4952

family_friendly_standard_error: 0.007070741969553125

submission_type: basic

model_repo: ChaiML/gy-exp126-dpo-exp54ep6s2-exp122data-ep2

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5162276943429752, 'latency_mean': 1.9370316934585572, 'latency_p50': 1.9350048303604126, 'latency_p90': 2.1435745477676393}, {'batch_size': 3, 'throughput': 1.050082939899354, 'latency_mean': 2.8420322942733764, 'latency_p50': 2.8376219272613525, 'latency_p90': 3.141618776321411}, {'batch_size': 5, 'throughput': 1.3387422900504475, 'latency_mean': 3.721004490852356, 'latency_p50': 3.70550537109375, 'latency_p90': 4.099585485458374}, {'batch_size': 6, 'throughput': 1.4305722329860944, 'latency_mean': 4.166278035640716, 'latency_p50': 4.162620425224304, 'latency_p90': 4.667068243026733}, {'batch_size': 8, 'throughput': 1.5620865149150889, 'latency_mean': 5.074930113554001, 'latency_p50': 5.062249779701233, 'latency_p90': 5.738042712211609}, {'batch_size': 10, 'throughput': 1.6617085686421995, 'latency_mean': 5.969707473516464, 'latency_p50': 5.966110110282898, 'latency_p90': 6.716621279716492}]

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

display_name: chaiml-gy-exp126-dpo-e_77990_v16

is_internal_developer: False

language_model: ChaiML/gy-exp126-dpo-exp54ep6s2-exp122data-ep2

model_size: 24B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-07-12

win_ratio: 0.5642673521850899

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_start|>', '<|im_end|>', '\n'], '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
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer
Waiting for job on chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer to finish
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chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║                                                                     ║
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chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║                                                                     ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║                                                                     ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║                                                                     ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ║                                                                     ║
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: Downloaded to shared memory in 51.256s
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: Checking if ChaiML/gy-exp126-dpo-exp54ep6s2-exp122data-ep2 already exists in ChaiML
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqb1rocb1, device:0
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: quantized model in 48.397s
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: Processed model ChaiML/gy-exp126-dpo-exp54ep6s2-exp122data-ep2 in 99.669s
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/config.json
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/special_tokens_map.json
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/tokenizer_config.json
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/tokenizer.json
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp126-dpo-e-77990-v16/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer completed after 125.49s with status: succeeded
Stopping job with name chaiml-gy-exp126-dpo-e-77990-v16-mkmlizer
Pipeline stage MKMLizer completed in 126.00s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp126-dpo-e-77990-v16
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Inference service chaiml-gy-exp126-dpo-e-77990-v16 ready after 221.70062589645386s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5797386169433594s
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mean time: 2.182741117477417
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