developer_uid: bogoconic1
submission_id: bogoconic1-nemo-280k-av_33625_v1
model_name: bogoconic1-nemo-280k-av_33625_v1
model_group: bogoconic1/nemo-280k-avg
status: torndown
timestamp: 2025-05-02T14:51:33+00:00
num_battles: 7752
num_wins: 3654
celo_rating: 1268.59
family_friendly_score: 0.5820000000000001
family_friendly_standard_error: 0.006975327949279518
submission_type: basic
model_repo: bogoconic1/nemo-280k-avg-chai-step1100
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5990552137172142, 'latency_mean': 1.6692187142372132, 'latency_p50': 1.6787853240966797, 'latency_p90': 1.836918306350708}, {'batch_size': 3, 'throughput': 1.1129788213955594, 'latency_mean': 2.6937118780612948, 'latency_p50': 2.692999005317688, 'latency_p90': 2.9749057292938232}, {'batch_size': 5, 'throughput': 1.3048564014490565, 'latency_mean': 3.818795690536499, 'latency_p50': 3.8462215662002563, 'latency_p90': 4.277828240394592}, {'batch_size': 6, 'throughput': 1.413878785492462, 'latency_mean': 4.218869489431381, 'latency_p50': 4.22991144657135, 'latency_p90': 4.691172742843628}, {'batch_size': 8, 'throughput': 1.4589744958297086, 'latency_mean': 5.447559187412262, 'latency_p50': 5.44166886806488, 'latency_p90': 6.1507714033126835}, {'batch_size': 10, 'throughput': 1.4643084281739474, 'latency_mean': 6.767026948928833, 'latency_p50': 6.790107011795044, 'latency_p90': 7.623546552658081}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-nemo-280k-av_33625_v1
is_internal_developer: False
language_model: bogoconic1/nemo-280k-avg-chai-step1100
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-05-02
win_ratio: 0.4713622291021672
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-av-33625-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-av-33625-v1-mkmlizer to finish
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ _____ __ __ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ /___/ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ Version: 0.12.8 ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ https://mk1.ai ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ The license key for the current software has been verified as ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ belonging to: ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ Chai Research Corp. ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: Downloaded to shared memory in 41.029s
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1dbm6bpp, device:0
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1/config.json
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1/special_tokens_map.json
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1/tokenizer_config.json
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1/tokenizer.json
bogoconic1-nemo-280k-av-33625-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-av-33625-v1/flywheel_model.0.safetensors
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Job bogoconic1-nemo-280k-av-33625-v1-mkmlizer completed after 104.55s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-av-33625-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.03s
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Creating inference service bogoconic1-nemo-280k-av-33625-v1
Waiting for inference service bogoconic1-nemo-280k-av-33625-v1 to be ready
Inference service bogoconic1-nemo-280k-av-33625-v1 ready after 230.8059651851654s
Pipeline stage MKMLDeployer completed in 231.41s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5551109313964844s
Received healthy response to inference request in 2.0277247428894043s
Received healthy response to inference request in 1.8956072330474854s
Received healthy response to inference request in 1.4872229099273682s
Received healthy response to inference request in 1.7942571640014648s
5 requests
0 failed requests
5th percentile: 1.5486297607421875
10th percentile: 1.6100366115570068
20th percentile: 1.7328503131866455
30th percentile: 1.8145271778106689
40th percentile: 1.855067205429077
50th percentile: 1.8956072330474854
60th percentile: 1.948454236984253
70th percentile: 2.0013012409210207
80th percentile: 2.1332019805908202
90th percentile: 2.3441564559936525
95th percentile: 2.4496336936950684
99th percentile: 2.534015483856201
mean time: 1.9519845962524414
Pipeline stage StressChecker completed in 11.04s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.89s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2316.63s
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