bogoconic1-nemo-280k-avg_9458

developer_uid: bogoconic1

submission_id: bogoconic1-nemo-280k-avg_9458_v1

model_name: bogoconic1-nemo-280k-avg_9458_v1

model_group: bogoconic1/nemo-280k-avg

status: torndown

timestamp: 2025-05-02T15:43:26+00:00

num_battles: 7888

num_wins: 3869

celo_rating: 1278.33

family_friendly_score: 0.5758

family_friendly_standard_error: 0.006989339882993243

submission_type: basic

model_repo: bogoconic1/nemo-280k-avg-chai-step1200

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6000599640210008, 'latency_mean': 1.6664437174797058, 'latency_p50': 1.667480230331421, 'latency_p90': 1.8440800428390502}, {'batch_size': 3, 'throughput': 1.082542982278049, 'latency_mean': 2.763297872543335, 'latency_p50': 2.7454588413238525, 'latency_p90': 3.0272894859313966}, {'batch_size': 5, 'throughput': 1.2929406558684067, 'latency_mean': 3.8464856266975405, 'latency_p50': 3.8544602394104004, 'latency_p90': 4.360732221603394}, {'batch_size': 6, 'throughput': 1.3736337387730693, 'latency_mean': 4.342840615510941, 'latency_p50': 4.349323987960815, 'latency_p90': 4.792325520515442}, {'batch_size': 8, 'throughput': 1.4359395760708353, 'latency_mean': 5.530484441518784, 'latency_p50': 5.559199094772339, 'latency_p90': 6.262887692451477}, {'batch_size': 10, 'throughput': 1.458425248350097, 'latency_mean': 6.804829325675964, 'latency_p50': 6.855736494064331, 'latency_p90': 7.6598361253738405}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-nemo-280k-avg_9458_v1

is_internal_developer: False

language_model: bogoconic1/nemo-280k-avg-chai-step1200

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-05-02

win_ratio: 0.4904918864097363

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-nemo-280k-avg-9458-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-avg-9458-v1-mkmlizer to finish
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: Downloaded to shared memory in 44.469s
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpji70n7n9, device:0
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: quantized model in 35.921s
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-step1200 in 80.390s
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1/config.json
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1/special_tokens_map.json
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1/tokenizer_config.json
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1/tokenizer.json
bogoconic1-nemo-280k-avg-9458-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-9458-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-avg-9458-v1-mkmlizer completed after 104.49s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-avg-9458-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.93s
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Creating inference service bogoconic1-nemo-280k-avg-9458-v1
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Inference service bogoconic1-nemo-280k-avg-9458-v1 ready after 160.51068091392517s
Pipeline stage MKMLDeployer completed in 161.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5305984020233154s
Received healthy response to inference request in 1.5995454788208008s
Received healthy response to inference request in 1.5557434558868408s
Received healthy response to inference request in 1.6479783058166504s
Received healthy response to inference request in 1.7835311889648438s
5 requests
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