bogoconic1-280k-stage1-_24540

developer_uid: bogoconic1

submission_id: bogoconic1-280k-stage1-_24540_v1

model_name: bogoconic1-280k-stage1-_24540_v1

model_group: bogoconic1/280k_stage1_a

status: torndown

timestamp: 2025-05-02T05:59:30+00:00

num_battles: 8367

num_wins: 3951

celo_rating: 1262.5

family_friendly_score: 0.5973999999999999

family_friendly_standard_error: 0.006935607255316581

submission_type: basic

model_repo: bogoconic1/280k_stage1_avg_half

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6059818939290033, 'latency_mean': 1.650126920938492, 'latency_p50': 1.6494022607803345, 'latency_p90': 1.8193523406982421}, {'batch_size': 3, 'throughput': 1.108343790819072, 'latency_mean': 2.702044049501419, 'latency_p50': 2.69931697845459, 'latency_p90': 2.9853469848632814}, {'batch_size': 5, 'throughput': 1.3429906338059632, 'latency_mean': 3.7036661744117736, 'latency_p50': 3.7290685176849365, 'latency_p90': 4.1524913787841795}, {'batch_size': 6, 'throughput': 1.406066206268673, 'latency_mean': 4.249152177572251, 'latency_p50': 4.267389416694641, 'latency_p90': 4.828093314170837}, {'batch_size': 8, 'throughput': 1.483448632983034, 'latency_mean': 5.372294206619262, 'latency_p50': 5.339168190956116, 'latency_p90': 6.060181474685669}, {'batch_size': 10, 'throughput': 1.5098294336231957, 'latency_mean': 6.556395394802093, 'latency_p50': 6.501244783401489, 'latency_p90': 7.41363160610199}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-280k-stage1-_24540_v1

is_internal_developer: True

language_model: bogoconic1/280k_stage1_avg_half

model_size: 13B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-05-01

win_ratio: 0.47221226245966297

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 80, '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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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 bogoconic1-280k-stage1-24540-v1-mkmlizer
Waiting for job on bogoconic1-280k-stage1-24540-v1-mkmlizer to finish
bogoconic1-280k-stage1-24540-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║                                                                     ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║                                                                     ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║                                                                     ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ║                                                                     ║
bogoconic1-280k-stage1-24540-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-280k-stage1-24540-v1-mkmlizer: Downloaded to shared memory in 39.868s
bogoconic1-280k-stage1-24540-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7bdax5_a, device:0
bogoconic1-280k-stage1-24540-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-280k-stage1-24540-v1-mkmlizer: quantized model in 35.776s
bogoconic1-280k-stage1-24540-v1-mkmlizer: Processed model bogoconic1/280k_stage1_avg_half in 75.645s
bogoconic1-280k-stage1-24540-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-280k-stage1-24540-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-280k-stage1-24540-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1
bogoconic1-280k-stage1-24540-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1/config.json
bogoconic1-280k-stage1-24540-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1/special_tokens_map.json
bogoconic1-280k-stage1-24540-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1/tokenizer_config.json
bogoconic1-280k-stage1-24540-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1/tokenizer.json
bogoconic1-280k-stage1-24540-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-280k-stage1-24540-v1/flywheel_model.0.safetensors
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Job bogoconic1-280k-stage1-24540-v1-mkmlizer completed after 103.93s with status: succeeded
Stopping job with name bogoconic1-280k-stage1-24540-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.40s
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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 bogoconic1-280k-stage1-24540-v1
Waiting for inference service bogoconic1-280k-stage1-24540-v1 to be ready
Inference service bogoconic1-280k-stage1-24540-v1 ready after 160.52513885498047s
Pipeline stage MKMLDeployer completed in 161.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.514411449432373s
Received healthy response to inference request in 1.8121716976165771s
Received healthy response to inference request in 1.459122896194458s
Received healthy response to inference request in 1.5022437572479248s
Received healthy response to inference request in 1.6585702896118164s
5 requests
0 failed requests
5th percentile: 1.4677470684051515
10th percentile: 1.4763712406158447
20th percentile: 1.4936195850372314
30th percentile: 1.5335090637207032
40th percentile: 1.5960396766662597
50th percentile: 1.6585702896118164
60th percentile: 1.7200108528137208
70th percentile: 1.781451416015625
80th percentile: 1.9526196479797364
90th percentile: 2.2335155487060545
95th percentile: 2.373963499069214
99th percentile: 2.4863218593597414
mean time: 1.7893040180206299
Pipeline stage StressChecker completed in 10.18s
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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 0.68s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service bogoconic1-280k-stage1-24540-v1-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4521.33s
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