developer_uid: bogoconic1
submission_id: chaiml-gy-exp73-dpo-exp_59050_v1
model_name: chaiml-gy-exp73-dpo-exp_59050_v1
model_group: ChaiML/gy-exp73-dpo-exp3
status: torndown
timestamp: 2025-07-03T16:08:52+00:00
num_battles: 8870
num_wins: 4815
celo_rating: 1314.36
family_friendly_score: 0.45920000000000005
family_friendly_standard_error: 0.007047486927976525
submission_type: basic
model_repo: ChaiML/gy-exp73-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-rm-win-ep1
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5140815045278347, 'latency_mean': 1.945089955329895, 'latency_p50': 1.9557374715805054, 'latency_p90': 2.1474801301956177}, {'batch_size': 3, 'throughput': 1.0519167218316536, 'latency_mean': 2.835909914970398, 'latency_p50': 2.814099073410034, 'latency_p90': 3.1430089235305787}, {'batch_size': 5, 'throughput': 1.338134779114327, 'latency_mean': 3.730414286851883, 'latency_p50': 3.74215030670166, 'latency_p90': 4.1490964651107785}, {'batch_size': 6, 'throughput': 1.443476455150981, 'latency_mean': 4.133417552709579, 'latency_p50': 4.124613404273987, 'latency_p90': 4.617749571800232}, {'batch_size': 8, 'throughput': 1.567544965275771, 'latency_mean': 5.062347222566604, 'latency_p50': 5.056143164634705, 'latency_p90': 5.681760954856872}, {'batch_size': 10, 'throughput': 1.6518070207311881, 'latency_mean': 5.991171375513077, 'latency_p50': 6.003482699394226, 'latency_p90': 6.635066223144531}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp73-dpo-exp_59050_v1
is_internal_developer: True
language_model: ChaiML/gy-exp73-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-rm-win-ep1
model_size: 24B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-03
win_ratio: 0.5428410372040586
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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer
Waiting for job on chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer to finish
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chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ║ ║
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: Downloaded to shared memory in 82.912s
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: Checking if ChaiML/gy-exp73-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-rm-win-ep1 already exists in ChaiML
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpng2_ucqj, device:0
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: quantized model in 48.702s
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: Processed model ChaiML/gy-exp73-dpo-exp32ep8s2-pref-grok3-sub-nis-majib-30jun-rm-win-ep1 in 131.614s
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/config.json
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/special_tokens_map.json
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/tokenizer_config.json
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/tokenizer.json
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp73-dpo-exp-59050-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer completed after 167.38s with status: succeeded
Stopping job with name chaiml-gy-exp73-dpo-exp-59050-v1-mkmlizer
Pipeline stage MKMLizer completed in 168.06s
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Creating inference service chaiml-gy-exp73-dpo-exp-59050-v1
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Inference service chaiml-gy-exp73-dpo-exp-59050-v1 ready after 210.94425797462463s
Pipeline stage MKMLDeployer completed in 211.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5748629570007324s
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Received healthy response to inference request in 1.8498597145080566s
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5th percentile: 1.8912039279937745
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20th percentile: 2.015236568450928
30th percentile: 2.089933729171753
40th percentile: 2.1566396236419676
50th percentile: 2.2233455181121826
60th percentile: 2.2839188098907472
70th percentile: 2.3444921016693114
80th percentile: 2.4147955894470217
90th percentile: 2.494829273223877
95th percentile: 2.5348461151123045
99th percentile: 2.5668595886230468
mean time: 2.215885543823242
Pipeline stage StressChecker completed in 12.76s
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