chaiml-gy-exp160-lipo-s_65582

developer_uid: bogoconic1

submission_id: chaiml-gy-exp160-lipo-s_65582_v1

model_name: chaiml-gy-exp160-lipo-s_65582_v1

model_group: ChaiML/gy-exp160-lipo-sc

status: torndown

timestamp: 2025-07-13T09:43:44+00:00

num_battles: 9111

num_wins: 4921

celo_rating: 1322.22

family_friendly_score: 0.5138

family_friendly_standard_error: 0.007068374070463447

submission_type: basic

model_repo: ChaiML/gy-exp160-lipo-scaled-gy-datamix-v3-bo8-dpo-gt0.6-3ans-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': 0.5188134455031432, 'latency_mean': 1.927352133989334, 'latency_p50': 1.9181077480316162, 'latency_p90': 2.1367677211761475}, {'batch_size': 3, 'throughput': 1.0536490448853097, 'latency_mean': 2.8341540360450743, 'latency_p50': 2.8029096126556396, 'latency_p90': 3.115573525428772}, {'batch_size': 5, 'throughput': 1.3456509174417866, 'latency_mean': 3.7083384370803834, 'latency_p50': 3.704181432723999, 'latency_p90': 4.121738624572754}, {'batch_size': 6, 'throughput': 1.4378055450635563, 'latency_mean': 4.136176241636276, 'latency_p50': 4.148469686508179, 'latency_p90': 4.685512661933899}, {'batch_size': 8, 'throughput': 1.5770459987516445, 'latency_mean': 5.012412283420563, 'latency_p50': 5.01750636100769, 'latency_p90': 5.573843240737915}, {'batch_size': 10, 'throughput': 1.6655665451881982, 'latency_mean': 5.951164267063141, 'latency_p50': 5.944726824760437, 'latency_p90': 6.738558650016785}]

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

display_name: chaiml-gy-exp160-lipo-s_65582_v1

is_internal_developer: False

language_model: ChaiML/gy-exp160-lipo-scaled-gy-datamix-v3-bo8-dpo-gt0.6-3ans-ep2

model_size: 24B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-07-13

win_ratio: 0.5401163428822303

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-exp160-lipo-s-65582-v1-mkmlizer
Waiting for job on chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer to finish
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: Downloaded to shared memory in 73.240s
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: Checking if ChaiML/gy-exp160-lipo-scaled-gy-datamix-v3-bo8-dpo-gt0.6-3ans-ep2 already exists in ChaiML
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkju3pir3, device:0
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: quantized model in 47.258s
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: Processed model ChaiML/gy-exp160-lipo-scaled-gy-datamix-v3-bo8-dpo-gt0.6-3ans-ep2 in 120.499s
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/config.json
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/special_tokens_map.json
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/tokenizer_config.json
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/tokenizer.json
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp160-lipo-s-65582-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer completed after 146.65s with status: succeeded
Stopping job with name chaiml-gy-exp160-lipo-s-65582-v1-mkmlizer
Pipeline stage MKMLizer completed in 147.50s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp160-lipo-s-65582-v1
Waiting for inference service chaiml-gy-exp160-lipo-s-65582-v1 to be ready
Inference service chaiml-gy-exp160-lipo-s-65582-v1 ready after 221.78574085235596s
Pipeline stage MKMLDeployer completed in 222.44s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.494887113571167s
Received healthy response to inference request in 1.9135420322418213s
Received healthy response to inference request in 2.062483549118042s
Received healthy response to inference request in 2.0074727535247803s
Received healthy response to inference request in 2.266197443008423s
5 requests
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5th percentile: 1.932328176498413
10th percentile: 1.9511143207550048
20th percentile: 1.9886866092681885
30th percentile: 2.0184749126434327
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70th percentile: 2.2254546642303468
80th percentile: 2.311935377120972
90th percentile: 2.4034112453460694
95th percentile: 2.449149179458618
99th percentile: 2.4857395267486573
mean time: 2.1489165782928468
Pipeline stage StressChecker completed in 12.79s
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5600.99s
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