chaiml-gy-exp88-dpo-exp_49090

developer_uid: bogoconic1

submission_id: chaiml-gy-exp88-dpo-exp_49090_v4

model_name: chaiml-gy-exp88-dpo-exp_49090_v4

model_group: ChaiML/gy-exp88-dpo-exp8

status: torndown

timestamp: 2025-07-07T11:45:46+00:00

num_battles: 9592

num_wins: 5076

celo_rating: 1307.44

family_friendly_score: 0.4626

family_friendly_standard_error: 0.007051258611056611

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': 0.5260309991127889, 'latency_mean': 1.9009248054027557, 'latency_p50': 1.8935309648513794, 'latency_p90': 2.1326852798461915}, {'batch_size': 3, 'throughput': 1.0634781605397645, 'latency_mean': 2.813762466907501, 'latency_p50': 2.8307260274887085, 'latency_p90': 3.0659578323364256}, {'batch_size': 5, 'throughput': 1.338014511336204, 'latency_mean': 3.7030316519737245, 'latency_p50': 3.685517191886902, 'latency_p90': 4.136584901809693}, {'batch_size': 6, 'throughput': 1.444416679339121, 'latency_mean': 4.128681877851486, 'latency_p50': 4.156149983406067, 'latency_p90': 4.601790595054626}, {'batch_size': 8, 'throughput': 1.5913060073411938, 'latency_mean': 4.9888161277771, 'latency_p50': 4.965278267860413, 'latency_p90': 5.516801857948303}, {'batch_size': 10, 'throughput': 1.6668562144347692, 'latency_mean': 5.928696048259735, 'latency_p50': 5.903737902641296, 'latency_p90': 6.65238630771637}]

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

display_name: chaiml-gy-exp88-dpo-exp_49090_v4

is_internal_developer: False

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

model_size: 24B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-07-07

win_ratio: 0.5291909924937448

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
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Running pipeline stage MKMLizer
Starting job with name chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer
Waiting for job on chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer to finish
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chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║                                                                     ║
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chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ║                                                                     ║
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: Downloaded to shared memory in 60.125s
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: Checking if ChaiML/gy-exp88-dpo-exp86ep8s2-exp72data-ep1 already exists in ChaiML
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1jcx2_4a, device:0
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/config.json
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/special_tokens_map.json
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/tokenizer_config.json
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/tokenizer.json
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp88-dpo-exp-49090-v4/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer completed after 135.97s with status: succeeded
Stopping job with name chaiml-gy-exp88-dpo-exp-49090-v4-mkmlizer
Pipeline stage MKMLizer completed in 136.54s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp88-dpo-exp-49090-v4
Waiting for inference service chaiml-gy-exp88-dpo-exp-49090-v4 to be ready
Failed to get response for submission chaiml-gy-exp107-dpo-ex_21861_v1: HTTPConnectionPool(host='chaiml-gy-exp107-dpo-ex-21861-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp107-dpo-ex_21861_v1: HTTPConnectionPool(host='chaiml-gy-exp107-dpo-ex-21861-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-gy-exp88-dpo-exp-49090-v4 ready after 190.68788051605225s
Pipeline stage MKMLDeployer completed in 191.24s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.9076194763183594s
Received healthy response to inference request in 2.115568161010742s
Received healthy response to inference request in 2.2695658206939697s
Received healthy response to inference request in 1.8900718688964844s
Received healthy response to inference request in 2.217163324356079s
5 requests
0 failed requests
5th percentile: 1.935171127319336
10th percentile: 1.9802703857421875
20th percentile: 2.0704689025878906
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50th percentile: 2.217163324356079
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70th percentile: 2.2590853214263915
80th percentile: 2.397176551818848
90th percentile: 2.6523980140686034
95th percentile: 2.780008745193481
99th percentile: 2.8820973300933836
mean time: 2.279997730255127
Pipeline stage StressChecker completed in 13.52s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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chaiml-gy-exp88-dpo-exp_49090_v4 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5490.22s
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chaiml-gy-exp88-dpo-exp_49090_v4 status is now inactive due to auto deactivation removed underperforming models
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