developer_uid: bogoconic1
submission_id: chaiml-gy-exp120-dpo-ex_31713_v4
model_name: chaiml-gy-exp120-dpo-ex_31713_v4
model_group: ChaiML/gy-exp120-dpo-exp
status: torndown
timestamp: 2025-07-12T07:40:50+00:00
num_battles: 9147
num_wins: 4886
celo_rating: 1318.3
family_friendly_score: 0.4658
family_friendly_standard_error: 0.007054507211705152
submission_type: basic
model_repo: ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-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': 0.5231141234064713, 'latency_mean': 1.9115301585197448, 'latency_p50': 1.907309651374817, 'latency_p90': 2.133798432350159}, {'batch_size': 3, 'throughput': 1.055542076321234, 'latency_mean': 2.830419720411301, 'latency_p50': 2.8285820484161377, 'latency_p90': 3.1179095983505247}, {'batch_size': 5, 'throughput': 1.3491418676389193, 'latency_mean': 3.6857489728927613, 'latency_p50': 3.6923694610595703, 'latency_p90': 4.084538006782531}, {'batch_size': 6, 'throughput': 1.4544775699741173, 'latency_mean': 4.094751229286194, 'latency_p50': 4.0751543045043945, 'latency_p90': 4.5940666675567625}, {'batch_size': 8, 'throughput': 1.5881940259610272, 'latency_mean': 4.993268966674805, 'latency_p50': 4.995826959609985, 'latency_p90': 5.681581687927246}, {'batch_size': 10, 'throughput': 1.6735988799495167, 'latency_mean': 5.9208272469043735, 'latency_p50': 5.886853456497192, 'latency_p90': 6.633281540870667}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp120-dpo-ex_31713_v4
is_internal_developer: False
language_model: ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-12
win_ratio: 0.534164206843774
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|>', '<|im_start|>', '\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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer
Waiting for job on chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer to finish
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chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ belonging to: ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ║ ║
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: Downloaded to shared memory in 51.737s
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: Checking if ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2 already exists in ChaiML
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg0jhd55w, device:0
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: quantized model in 47.751s
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: Processed model ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2 in 99.488s
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/config.json
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/special_tokens_map.json
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/tokenizer_config.json
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/tokenizer.json
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v4/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer completed after 125.7s with status: succeeded
Stopping job with name chaiml-gy-exp120-dpo-ex-31713-v4-mkmlizer
Pipeline stage MKMLizer completed in 126.20s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service chaiml-gy-exp120-dpo-ex-31713-v4
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Inference service chaiml-gy-exp120-dpo-ex-31713-v4 ready after 200.82676768302917s
Pipeline stage MKMLDeployer completed in 201.36s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.472374677658081s
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Received healthy response to inference request in 2.126390218734741s
Received healthy response to inference request in 2.162139415740967s
Received healthy response to inference request in 1.892981767654419s
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5th percentile: 1.9049224376678466
10th percentile: 1.9168631076812743
20th percentile: 1.94074444770813
30th percentile: 1.9874261379241944
40th percentile: 2.0569081783294676
50th percentile: 2.126390218734741
60th percentile: 2.1406898975372313
70th percentile: 2.1549895763397218
80th percentile: 2.22418646812439
90th percentile: 2.3482805728912353
95th percentile: 2.410327625274658
99th percentile: 2.4599652671813965
mean time: 2.1213142395019533
Pipeline stage StressChecker completed in 11.95s
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4972.96s
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chaiml-gy-exp120-dpo-ex_31713_v4 status is now inactive due to auto deactivation removed underperforming models
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