chaiml-gy-exp88-dpo-exp_49090

developer_uid: bogoconic1

submission_id: chaiml-gy-exp88-dpo-exp_49090_v3

model_name: chaiml-gy-exp88-dpo-exp_49090_v3

model_group: ChaiML/gy-exp88-dpo-exp8

status: torndown

timestamp: 2025-07-06T14:37:27+00:00

num_battles: 8351

num_wins: 4457

celo_rating: 1313.22

family_friendly_score: 0.4706

family_friendly_standard_error: 0.0070588333313657435

submission_type: basic

model_repo: ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1

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': 0.5086361587924144, 'latency_mean': 1.9658761858940124, 'latency_p50': 1.9614348411560059, 'latency_p90': 2.1660255432128905}, {'batch_size': 3, 'throughput': 1.0035853478865904, 'latency_mean': 2.9781843602657316, 'latency_p50': 2.9954031705856323, 'latency_p90': 3.2855961322784424}, {'batch_size': 5, 'throughput': 1.25742852858368, 'latency_mean': 3.954573321342468, 'latency_p50': 3.949898600578308, 'latency_p90': 4.438956952095031}, {'batch_size': 6, 'throughput': 1.3682033625756853, 'latency_mean': 4.369855011701584, 'latency_p50': 4.380002498626709, 'latency_p90': 4.909808897972107}, {'batch_size': 8, 'throughput': 1.4718324719298395, 'latency_mean': 5.3891172134876255, 'latency_p50': 5.425214886665344, 'latency_p90': 6.112335062026977}, {'batch_size': 10, 'throughput': 1.554121292357539, 'latency_mean': 6.375759966373444, 'latency_p50': 6.417786240577698, 'latency_p90': 7.22368974685669}]

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

display_name: chaiml-gy-exp88-dpo-exp_49090_v3

is_internal_developer: False

language_model: ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1

model_size: 24B

ranking_group: single

throughput_3p7s: 1.21

us_pacific_date: 2025-07-06

win_ratio: 0.5337085378996528

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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer
Waiting for job on chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer to finish
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║                                                                     ║
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chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: Downloaded to shared memory in 89.448s
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: Checking if ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1 already exists in ChaiML
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7ylkvh2y, device:0
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: quantized model in 62.490s
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: Processed model ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1 in 151.938s
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/config.json
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/special_tokens_map.json
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/tokenizer_config.json
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/tokenizer.json
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v3/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer completed after 197.15s with status: succeeded
Stopping job with name chaiml-gy-exp88-dpo-exp-49090-v3-mkmlizer
Pipeline stage MKMLizer completed in 197.61s
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Creating inference service chaiml-gy-exp88-dpo-exp-49090-v3
Waiting for inference service chaiml-gy-exp88-dpo-exp-49090-v3 to be ready
Inference service chaiml-gy-exp88-dpo-exp-49090-v3 ready after 210.86101245880127s
Pipeline stage MKMLDeployer completed in 211.41s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5282180309295654s
Received healthy response to inference request in 2.6020898818969727s
Received healthy response to inference request in 1.953028917312622s
Received healthy response to inference request in 1.832366704940796s
Received healthy response to inference request in 2.1472651958465576s
5 requests
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5th percentile: 1.856499147415161
10th percentile: 1.8806315898895263
20th percentile: 1.9288964748382569
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95th percentile: 2.5873155117034914
99th percentile: 2.5991350078582762
mean time: 2.212593746185303
Pipeline stage StressChecker completed in 12.39s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3312.43s
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chaiml-gy-exp88-dpo-exp_49090_v3 status is now inactive due to auto deactivation removed underperforming models
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