chaiml-gy-exp161-lipo-s_60127

developer_uid: bogoconic1

submission_id: chaiml-gy-exp161-lipo-s_60127_v1

model_name: chaiml-gy-exp161-lipo-s_60127_v1

model_group: ChaiML/gy-exp161-lipo-sc

status: torndown

timestamp: 2025-07-13T13:26:50+00:00

num_battles: 14899

num_wins: 7890

celo_rating: 1316.03

family_friendly_score: 0.5207999999999999

family_friendly_standard_error: 0.007064946708928524

submission_type: basic

model_repo: ChaiML/gy-exp161-lipo-scaled-weight2x1-gy-datamix-v3-bo8-dpo-gt0.6-3ans

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': 0.5209818838060304, 'latency_mean': 1.9193513214588165, 'latency_p50': 1.9268064498901367, 'latency_p90': 2.135727143287659}, {'batch_size': 3, 'throughput': 1.048593789393637, 'latency_mean': 2.8479663956165315, 'latency_p50': 2.8332890272140503, 'latency_p90': 3.127205657958984}, {'batch_size': 5, 'throughput': 1.3220753610511224, 'latency_mean': 3.761202597618103, 'latency_p50': 3.798557162284851, 'latency_p90': 4.1617587327957155}, {'batch_size': 6, 'throughput': 1.4195212657166911, 'latency_mean': 4.207101576328277, 'latency_p50': 4.199047207832336, 'latency_p90': 4.716340136528015}, {'batch_size': 8, 'throughput': 1.5566615187424857, 'latency_mean': 5.096698023080826, 'latency_p50': 5.1376354694366455, 'latency_p90': 5.748408317565918}, {'batch_size': 10, 'throughput': 1.6470183742781817, 'latency_mean': 6.025285804271698, 'latency_p50': 6.006817936897278, 'latency_p90': 6.877875590324402}]

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

display_name: chaiml-gy-exp161-lipo-s_60127_v1

is_internal_developer: False

language_model: ChaiML/gy-exp161-lipo-scaled-weight2x1-gy-datamix-v3-bo8-dpo-gt0.6-3ans

model_size: 24B

ranking_group: single

throughput_3p7s: 1.32

us_pacific_date: 2025-07-13

win_ratio: 0.5295657426672931

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|>', '<|im_end|>', '\n'], '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-exp161-lipo-s-60127-v1-mkmlizer
Waiting for job on chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer to finish
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: Downloaded to shared memory in 80.826s
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: Checking if ChaiML/gy-exp161-lipo-scaled-weight2x1-gy-datamix-v3-bo8-dpo-gt0.6-3ans already exists in ChaiML
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnnubnldd, device:0
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: quantized model in 47.303s
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: Processed model ChaiML/gy-exp161-lipo-scaled-weight2x1-gy-datamix-v3-bo8-dpo-gt0.6-3ans in 128.130s
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/config.json
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/special_tokens_map.json
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/tokenizer_config.json
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/tokenizer.json
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp161-lipo-s-60127-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer completed after 157.49s with status: succeeded
Stopping job with name chaiml-gy-exp161-lipo-s-60127-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.31s
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Creating inference service chaiml-gy-exp161-lipo-s-60127-v1
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Inference service chaiml-gy-exp161-lipo-s-60127-v1 ready after 211.19232296943665s
Pipeline stage MKMLDeployer completed in 211.71s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7843453884124756s
Received healthy response to inference request in 2.1707704067230225s
Received healthy response to inference request in 2.0381741523742676s
Received healthy response to inference request in 1.9188354015350342s
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5 requests
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5th percentile: 1.9427031517028808
10th percentile: 1.9665709018707276
20th percentile: 2.014306402206421
30th percentile: 2.0646934032440187
40th percentile: 2.1177319049835206
50th percentile: 2.1707704067230225
60th percentile: 2.20198712348938
70th percentile: 2.2332038402557375
80th percentile: 2.355918836593628
90th percentile: 2.570132112503052
95th percentile: 2.6772387504577635
99th percentile: 2.762924060821533
mean time: 2.232187509536743
Pipeline stage StressChecker completed in 12.43s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5903.48s
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