developer_uid: NischayDnk
submission_id: chaiml-exp321-simpostag_24294_v2
model_name: chaiml-exp321-simpostag_24294_v2
model_group: ChaiML/exp321-simpostage
status: inactive
timestamp: 2025-04-15T03:58:47+00:00
num_battles: 6459
num_wins: 3774
celo_rating: 1348.41
family_friendly_score: 0.33499999999999996
family_friendly_standard_error: 0.006674953183356419
submission_type: basic
model_repo: ChaiML/exp321-simpostage3-preffull-datav1-simpo1360
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.37527659684281806, 'latency_mean': 2.664635671377182, 'latency_p50': 2.6479971408843994, 'latency_p90': 2.957691502571106}, {'batch_size': 2, 'throughput': 0.57622440936352, 'latency_mean': 3.464444000720978, 'latency_p50': 3.4638192653656006, 'latency_p90': 3.826666331291199}, {'batch_size': 3, 'throughput': 0.7284041230360587, 'latency_mean': 4.111669908761979, 'latency_p50': 4.107969641685486, 'latency_p90': 4.553075671195984}, {'batch_size': 4, 'throughput': 0.8523059510954025, 'latency_mean': 4.663497885465622, 'latency_p50': 4.658901691436768, 'latency_p90': 5.1977027416229244}, {'batch_size': 5, 'throughput': 0.9391154868516708, 'latency_mean': 5.302781343460083, 'latency_p50': 5.28371000289917, 'latency_p90': 5.954325437545776}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp321-simpostag_24294_v2
is_internal_developer: True
language_model: ChaiML/exp321-simpostage3-preffull-datav1-simpo1360
model_size: 24B
ranking_group: single
throughput_3p7s: 0.64
us_pacific_date: 2025-04-14
win_ratio: 0.5843009753831863
generation_params: {'temperature': 0.5, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 70, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, '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': False}
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-exp321-simpostag-24294-v2-mkmlizer
Waiting for job on chaiml-exp321-simpostag-24294-v2-mkmlizer to finish
chaiml-exp321-simpostag-24294-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║       /___/                                                         ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║                                                                     ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║                                                                     ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║                                                                     ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ║                                                                     ║
chaiml-exp321-simpostag-24294-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp321-simpostag-24294-v2-mkmlizer: Downloaded to shared memory in 79.026s
chaiml-exp321-simpostag-24294-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnjc4zo4p, device:0
chaiml-exp321-simpostag-24294-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp321-simpostag-24294-v2-mkmlizer: quantized model in 55.319s
chaiml-exp321-simpostag-24294-v2-mkmlizer: Processed model ChaiML/exp321-simpostage3-preffull-datav1-simpo1360 in 134.346s
chaiml-exp321-simpostag-24294-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp321-simpostag-24294-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp321-simpostag-24294-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp321-simpostag-24294-v2
chaiml-exp321-simpostag-24294-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp321-simpostag-24294-v2/tokenizer.json
chaiml-exp321-simpostag-24294-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp321-simpostag-24294-v2/flywheel_model.1.safetensors
chaiml-exp321-simpostag-24294-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp321-simpostag-24294-v2/flywheel_model.0.safetensors
chaiml-exp321-simpostag-24294-v2-mkmlizer: 
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Job chaiml-exp321-simpostag-24294-v2-mkmlizer completed after 166.51s with status: succeeded
Stopping job with name chaiml-exp321-simpostag-24294-v2-mkmlizer
Pipeline stage MKMLizer completed in 166.95s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-exp321-simpostag-24294-v2
Waiting for inference service chaiml-exp321-simpostag-24294-v2 to be ready
Inference service chaiml-exp321-simpostag-24294-v2 ready after 130.60252356529236s
Pipeline stage MKMLDeployer completed in 131.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.1430001258850098s
Received healthy response to inference request in 2.494997501373291s
Received healthy response to inference request in 2.5173990726470947s
Received healthy response to inference request in 2.4182279109954834s
Received healthy response to inference request in 2.628816843032837s
5 requests
0 failed requests
5th percentile: 2.433581829071045
10th percentile: 2.4489357471466064
20th percentile: 2.4796435832977295
30th percentile: 2.499477815628052
40th percentile: 2.5084384441375733
50th percentile: 2.5173990726470947
60th percentile: 2.5619661808013916
70th percentile: 2.6065332889556885
80th percentile: 2.7316534996032718
90th percentile: 2.9373268127441405
95th percentile: 3.040163469314575
99th percentile: 3.1224327945709227
mean time: 2.640488290786743
Pipeline stage StressChecker completed in 14.53s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.97s
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chaiml-exp321-simpostag_24294_v2 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 5593.19s
Shutdown handler de-registered
chaiml-exp321-simpostag_24294_v2 status is now inactive due to auto deactivation removed underperforming models