developer_uid: bogoconic1
submission_id: bogoconic1-mistral-nemo_69301_v1
model_name: bogoconic1-mistral-nemo_69301_v1
model_group: bogoconic1/mistral-nemo-
status: torndown
timestamp: 2025-05-01T02:53:52+00:00
num_battles: 8514
num_wins: 3839
celo_rating: 1251.81
family_friendly_score: 0.604
family_friendly_standard_error: 0.00691641525647499
submission_type: basic
model_repo: bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step250
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.610706271045844, 'latency_mean': 1.6373828971385955, 'latency_p50': 1.6322187185287476, 'latency_p90': 1.8064107179641724}, {'batch_size': 3, 'throughput': 1.1080061537699106, 'latency_mean': 2.6964209496974947, 'latency_p50': 2.7179815769195557, 'latency_p90': 3.005887746810913}, {'batch_size': 5, 'throughput': 1.3527054187389755, 'latency_mean': 3.668918887376785, 'latency_p50': 3.6471458673477173, 'latency_p90': 4.147547888755798}, {'batch_size': 6, 'throughput': 1.4072212646320044, 'latency_mean': 4.229020396471023, 'latency_p50': 4.246019005775452, 'latency_p90': 4.768136596679687}, {'batch_size': 8, 'throughput': 1.4795661180288837, 'latency_mean': 5.373919986486435, 'latency_p50': 5.394417762756348, 'latency_p90': 6.102961301803589}, {'batch_size': 10, 'throughput': 1.5052966541450064, 'latency_mean': 6.58979287981987, 'latency_p50': 6.584491014480591, 'latency_p90': 7.443128371238709}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-mistral-nemo_69301_v1
is_internal_developer: True
language_model: bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step250
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2025-04-30
win_ratio: 0.4509043927648579
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-mistral-nemo-69301-v1-mkmlizer
Waiting for job on bogoconic1-mistral-nemo-69301-v1-mkmlizer to finish
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ _____ __ __ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ /___/ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ Version: 0.12.8 ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ https://mk1.ai ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ The license key for the current software has been verified as ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ belonging to: ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ Chai Research Corp. ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-69301-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-mistral-nemo-69301-v1-mkmlizer: Downloaded to shared memory in 43.739s
bogoconic1-mistral-nemo-69301-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwpcpmlks, device:0
bogoconic1-mistral-nemo-69301-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-mistral-nemo-69301-v1-mkmlizer: quantized model in 36.106s
bogoconic1-mistral-nemo-69301-v1-mkmlizer: Processed model bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step250 in 79.846s
bogoconic1-mistral-nemo-69301-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-mistral-nemo-69301-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-mistral-nemo-69301-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1
bogoconic1-mistral-nemo-69301-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1/config.json
bogoconic1-mistral-nemo-69301-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1/special_tokens_map.json
bogoconic1-mistral-nemo-69301-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1/tokenizer_config.json
bogoconic1-mistral-nemo-69301-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1/tokenizer.json
bogoconic1-mistral-nemo-69301-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-mistral-nemo-69301-v1/flywheel_model.0.safetensors
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Job bogoconic1-mistral-nemo-69301-v1-mkmlizer completed after 104.79s with status: succeeded
Stopping job with name bogoconic1-mistral-nemo-69301-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.38s
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Creating inference service bogoconic1-mistral-nemo-69301-v1
Waiting for inference service bogoconic1-mistral-nemo-69301-v1 to be ready
Inference service bogoconic1-mistral-nemo-69301-v1 ready after 150.5241198539734s
Pipeline stage MKMLDeployer completed in 150.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.299339771270752s
Received healthy response to inference request in 1.147082805633545s
Received healthy response to inference request in 1.8550221920013428s
Received healthy response to inference request in 0.986656665802002s
Received healthy response to inference request in 1.9478013515472412s
5 requests
0 failed requests
5th percentile: 1.0187418937683106
10th percentile: 1.0508271217346192
20th percentile: 1.1149975776672363
30th percentile: 1.2886706829071044
40th percentile: 1.5718464374542238
50th percentile: 1.8550221920013428
60th percentile: 1.892133855819702
70th percentile: 1.9292455196380616
80th percentile: 2.0181090354919435
90th percentile: 2.1587244033813477
95th percentile: 2.2290320873260496
99th percentile: 2.2852782344818117
mean time: 1.6471805572509766
Pipeline stage StressChecker completed in 9.67s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4528.08s
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bogoconic1-mistral-nemo_69301_v1 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-mistral-nemo_69301_v1 status is now torndown due to DeploymentManager action