chaiml-gy-exp120-dpo-ex_31713

developer_uid: bogoconic1

submission_id: chaiml-gy-exp120-dpo-ex_31713_v8

model_name: chaiml-gy-exp120-dpo-ex_31713_v8

model_group: ChaiML/gy-exp120-dpo-exp

status: torndown

timestamp: 2025-07-14T07:01:10+00:00

num_battles: 7280

num_wins: 3801

celo_rating: 1314.49

family_friendly_score: 0.46599999999999997

family_friendly_standard_error: 0.007054700560619139

submission_type: basic

model_repo: ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-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': 0.5239421981492215, 'latency_mean': 1.9084870195388794, 'latency_p50': 1.9120309352874756, 'latency_p90': 2.136505436897278}, {'batch_size': 3, 'throughput': 1.068027754527096, 'latency_mean': 2.7980110883712768, 'latency_p50': 2.7838709354400635, 'latency_p90': 3.1225964307785032}, {'batch_size': 5, 'throughput': 1.3497214258952244, 'latency_mean': 3.6875814163684844, 'latency_p50': 3.6777883768081665, 'latency_p90': 4.2327464580535885}, {'batch_size': 6, 'throughput': 1.441390588036007, 'latency_mean': 4.1358238530159, 'latency_p50': 4.125489115715027, 'latency_p90': 4.589116716384888}, {'batch_size': 8, 'throughput': 1.5834740480656382, 'latency_mean': 5.010101256370544, 'latency_p50': 4.9903178215026855, 'latency_p90': 5.692652487754821}, {'batch_size': 10, 'throughput': 1.6897541874912483, 'latency_mean': 5.866056554317474, 'latency_p50': 5.860665678977966, 'latency_p90': 6.648615598678589}]

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

display_name: chaiml-gy-exp120-dpo-ex_31713_v8

is_internal_developer: False

language_model: ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2

model_size: 24B

ranking_group: single

throughput_3p7s: 1.36

us_pacific_date: 2025-07-14

win_ratio: 0.5221153846153846

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|>', '\n', '<|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-exp120-dpo-ex-31713-v8-mkmlizer
Waiting for job on chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer to finish
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║                                                                     ║
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chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║                                                                     ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║                                                                     ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║                                                                     ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ║                                                                     ║
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: Downloaded to shared memory in 51.209s
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: Checking if ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2 already exists in ChaiML
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpmuaba5qu, device:0
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: quantized model in 49.239s
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: Processed model ChaiML/gy-exp120-dpo-exp72ep2s3-gy-datamix-v3-bo8-dpo-chs-rej-reward-gt0.7-diffgt0.01-ep2 in 100.449s
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/config.json
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/special_tokens_map.json
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/tokenizer_config.json
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/tokenizer.json
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp120-dpo-ex-31713-v8/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer completed after 126.01s with status: succeeded
Stopping job with name chaiml-gy-exp120-dpo-ex-31713-v8-mkmlizer
Pipeline stage MKMLizer completed in 127.03s
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Creating inference service chaiml-gy-exp120-dpo-ex-31713-v8
Waiting for inference service chaiml-gy-exp120-dpo-ex-31713-v8 to be ready
Inference service chaiml-gy-exp120-dpo-ex-31713-v8 ready after 231.07734060287476s
Pipeline stage MKMLDeployer completed in 231.68s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.558309316635132s
Received healthy response to inference request in 2.212965488433838s
Received healthy response to inference request in 2.105276584625244s
Received healthy response to inference request in 1.9977586269378662s
Received healthy response to inference request in 2.2356793880462646s
5 requests
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5th percentile: 2.0192622184753417
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mean time: 2.221997880935669
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