developer_uid: bogoconic1
submission_id: chaiml-gy-exp89-dpo-exp_90452_v2
model_name: chaiml-gy-exp89-dpo-exp_90452_v2
model_group: ChaiML/gy-exp89-dpo-exp8
status: torndown
timestamp: 2025-07-05T11:42:49+00:00
num_battles: 6974
num_wins: 3661
celo_rating: 1308.57
family_friendly_score: 0.47019999999999995
family_friendly_standard_error: 0.007058497857193129
submission_type: basic
model_repo: ChaiML/gy-exp89-dpo-exp87ep2s2-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': 0.5166523153503286, 'latency_mean': 1.9354407048225404, 'latency_p50': 1.935850739479065, 'latency_p90': 2.141973376274109}, {'batch_size': 3, 'throughput': 1.0554151296179919, 'latency_mean': 2.830402888059616, 'latency_p50': 2.798471212387085, 'latency_p90': 3.192548942565918}, {'batch_size': 5, 'throughput': 1.337934221770614, 'latency_mean': 3.7052887177467344, 'latency_p50': 3.6879719495773315, 'latency_p90': 4.16326801776886}, {'batch_size': 6, 'throughput': 1.4532689686943059, 'latency_mean': 4.100025537014008, 'latency_p50': 4.0868552923202515, 'latency_p90': 4.578417849540711}, {'batch_size': 8, 'throughput': 1.5847360581029586, 'latency_mean': 5.012899183034897, 'latency_p50': 5.063183426856995, 'latency_p90': 5.599020385742187}, {'batch_size': 10, 'throughput': 1.6604820667048814, 'latency_mean': 5.9645148634910585, 'latency_p50': 5.957594275474548, 'latency_p90': 6.712153601646423}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp89-dpo-exp_90452_v2
is_internal_developer: True
language_model: ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-07-05
win_ratio: 0.5249498135933467
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_end|>', '<|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-exp89-dpo-exp-90452-v2-mkmlizer
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chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ belonging to: ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ║ ║
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: Downloaded to shared memory in 58.735s
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: Checking if ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2 already exists in ChaiML
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkqgey_qh, device:0
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: quantized model in 49.266s
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: Processed model ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2 in 108.002s
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/config.json
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/special_tokens_map.json
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/tokenizer_config.json
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/tokenizer.json
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp89-dpo-exp-90452-v2-mkmlizer completed after 135.53s with status: succeeded
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Inference service chaiml-gy-exp89-dpo-exp-90452-v2 ready after 221.2230088710785s
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90th percentile: 2.4987167835235597
95th percentile: 2.558897829055786
99th percentile: 2.6070426654815675
mean time: 2.2386799812316895
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