developer_uid: NischayDnk
submission_id: chaiml-nis-exp62-ftexp6_35561_v2
model_name: chaiml-nis-exp62-ftexp6_35561_v2
model_group: ChaiML/nis-exp62-ftexp61
status: inactive
timestamp: 2025-03-10T06:36:52+00:00
num_battles: 11497
num_wins: 3959
celo_rating: 1165.05
family_friendly_score: 0.5326
family_friendly_standard_error: 0.0070560221088089
submission_type: basic
model_repo: ChaiML/nis-exp62-ftexp61-DPO-6k-13B
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5986058881345413, 'latency_mean': 1.6704831540584564, 'latency_p50': 1.6728284358978271, 'latency_p90': 1.839369010925293}, {'batch_size': 3, 'throughput': 1.0885653220394986, 'latency_mean': 2.744759942293167, 'latency_p50': 2.7555389404296875, 'latency_p90': 3.008495020866394}, {'batch_size': 5, 'throughput': 1.3103112299855544, 'latency_mean': 3.7980609571933748, 'latency_p50': 3.7866830825805664, 'latency_p90': 4.276237797737122}, {'batch_size': 6, 'throughput': 1.393887462851803, 'latency_mean': 4.280526189804077, 'latency_p50': 4.2543463706970215, 'latency_p90': 4.877228832244873}, {'batch_size': 8, 'throughput': 1.4454837884071328, 'latency_mean': 5.48541164636612, 'latency_p50': 5.482150912284851, 'latency_p90': 6.234722256660461}, {'batch_size': 10, 'throughput': 1.4607011694299445, 'latency_mean': 6.796818047761917, 'latency_p50': 6.7634357213974, 'latency_p90': 7.719846034049987}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-nis-exp62-ftexp6_35561_v2
is_internal_developer: True
language_model: ChaiML/nis-exp62-ftexp61-DPO-6k-13B
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-03-09
win_ratio: 0.34435070018265634
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', '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-nis-exp62-ftexp6-35561-v2-mkmlizer
Waiting for job on chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer to finish
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║       /___/                                                         ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║                                                                     ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║                                                                     ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║                                                                     ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ║                                                                     ║
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: Downloaded to shared memory in 35.853s
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpewfox8rp, device:0
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: quantized model in 36.743s
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: Processed model ChaiML/nis-exp62-ftexp61-DPO-6k-13B in 72.597s
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2/config.json
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2/special_tokens_map.json
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2/tokenizer_config.json
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2/tokenizer.json
chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-nis-exp62-ftexp6-35561-v2/flywheel_model.0.safetensors
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Job chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer completed after 93.7s with status: succeeded
Stopping job with name chaiml-nis-exp62-ftexp6-35561-v2-mkmlizer
Pipeline stage MKMLizer completed in 94.18s
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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-nis-exp62-ftexp6-35561-v2
Waiting for inference service chaiml-nis-exp62-ftexp6-35561-v2 to be ready
Inference service chaiml-nis-exp62-ftexp6-35561-v2 ready after 90.32968592643738s
Pipeline stage MKMLDeployer completed in 91.03s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1290392875671387s
Received healthy response to inference request in 1.7447166442871094s
Received healthy response to inference request in 1.574169397354126s
Received healthy response to inference request in 1.5355713367462158s
Received healthy response to inference request in 1.7858147621154785s
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5th percentile: 1.543290948867798
10th percentile: 1.5510105609893798
20th percentile: 1.5664497852325439
30th percentile: 1.6082788467407227
40th percentile: 1.676497745513916
50th percentile: 1.7447166442871094
60th percentile: 1.761155891418457
70th percentile: 1.7775951385498048
80th percentile: 1.8544596672058107
90th percentile: 1.9917494773864746
95th percentile: 2.0603943824768067
99th percentile: 2.1153103065490724
mean time: 1.7538622856140136
Pipeline stage StressChecker completed in 10.30s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2470.59s
Shutdown handler de-registered
chaiml-nis-exp62-ftexp6_35561_v2 status is now inactive due to auto deactivation removed underperforming models
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