developer_uid: bogoconic1
submission_id: chaiml-gy-exp103-dpo-ex_77929_v1
model_name: chaiml-gy-exp103-dpo-ex_77929_v1
model_group: ChaiML/gy-exp103-dpo-exp
status: torndown
timestamp: 2025-07-07T06:10:29+00:00
num_battles: 6303
num_wins: 3260
celo_rating: 1301.71
family_friendly_score: 0.5262
family_friendly_standard_error: 0.007061353411351113
submission_type: basic
model_repo: ChaiML/gy-exp103-dpo-exp95ep2s2-grok-payloads-bo8-0705-dpo-diff-gt0.05-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': 0.5163992911021391, 'latency_mean': 1.936328979730606, 'latency_p50': 1.9372771978378296, 'latency_p90': 2.120969462394714}, {'batch_size': 3, 'throughput': 1.0536971313815697, 'latency_mean': 2.841461213827133, 'latency_p50': 2.824334740638733, 'latency_p90': 3.1390136241912843}, {'batch_size': 5, 'throughput': 1.3372480488971616, 'latency_mean': 3.716670229434967, 'latency_p50': 3.7225409746170044, 'latency_p90': 4.162525200843811}, {'batch_size': 6, 'throughput': 1.4321513449988401, 'latency_mean': 4.158625084161758, 'latency_p50': 4.157588005065918, 'latency_p90': 4.66404128074646}, {'batch_size': 8, 'throughput': 1.5656673162408599, 'latency_mean': 5.0809734082221985, 'latency_p50': 5.048833131790161, 'latency_p90': 5.702642965316772}, {'batch_size': 10, 'throughput': 1.6492492868629567, 'latency_mean': 5.993931179046631, 'latency_p50': 5.977686405181885, 'latency_p90': 6.827390813827515}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp103-dpo-ex_77929_v1
is_internal_developer: False
language_model: ChaiML/gy-exp103-dpo-exp95ep2s2-grok-payloads-bo8-0705-dpo-diff-gt0.05-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-06
win_ratio: 0.5172140250674282
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': ['\n', '<|im_start|>', '<|im_end|>'], '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-exp103-dpo-ex-77929-v1-mkmlizer
Waiting for job on chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer to finish
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: Downloaded to shared memory in 78.001s
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: Checking if ChaiML/gy-exp103-dpo-exp95ep2s2-grok-payloads-bo8-0705-dpo-diff-gt0.05-ep2 already exists in ChaiML
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmph8wyqqrw, device:0
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: quantized model in 48.383s
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: Processed model ChaiML/gy-exp103-dpo-exp95ep2s2-grok-payloads-bo8-0705-dpo-diff-gt0.05-ep2 in 126.384s
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/config.json
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/special_tokens_map.json
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/tokenizer_config.json
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/tokenizer.json
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp103-dpo-ex-77929-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer completed after 155.89s with status: succeeded
Stopping job with name chaiml-gy-exp103-dpo-ex-77929-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.61s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp103-dpo-ex-77929-v1
Waiting for inference service chaiml-gy-exp103-dpo-ex-77929-v1 to be ready
Inference service chaiml-gy-exp103-dpo-ex-77929-v1 ready after 200.73807525634766s
Pipeline stage MKMLDeployer completed in 201.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.387892484664917s
Received healthy response to inference request in 1.8872771263122559s
Received healthy response to inference request in 1.8757500648498535s
Received healthy response to inference request in 1.8855986595153809s
Received healthy response to inference request in 2.3075954914093018s
5 requests
0 failed requests
5th percentile: 1.877719783782959
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mean time: 2.0688227653503417
Pipeline stage StressChecker completed in 11.94s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5173.60s
Shutdown handler de-registered
chaiml-gy-exp103-dpo-ex_77929_v1 status is now inactive due to auto deactivation removed underperforming models
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