developer_uid: bogoconic1
submission_id: bogoconic1-mistral-nemo_54525_v1
model_name: bogoconic1-mistral-nemo_54525_v1
model_group: bogoconic1/mistral-nemo-
status: torndown
timestamp: 2025-05-01T10:58:17+00:00
num_battles: 7407
num_wins: 3537
celo_rating: 1265.89
family_friendly_score: 0.5973999999999999
family_friendly_standard_error: 0.006935607255316581
submission_type: basic
model_repo: bogoconic1/mistral-nemo-13b-280k-step225
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6019192838849562, 'latency_mean': 1.6612610614299774, 'latency_p50': 1.663004755973816, 'latency_p90': 1.8227791786193848}, {'batch_size': 3, 'throughput': 1.0999600623326367, 'latency_mean': 2.7186224818229676, 'latency_p50': 2.710110902786255, 'latency_p90': 3.034178948402405}, {'batch_size': 5, 'throughput': 1.3428133846655752, 'latency_mean': 3.7131286597251894, 'latency_p50': 3.6794116497039795, 'latency_p90': 4.154738903045654}, {'batch_size': 6, 'throughput': 1.406646098837126, 'latency_mean': 4.24568776011467, 'latency_p50': 4.228723406791687, 'latency_p90': 4.780545496940613}, {'batch_size': 8, 'throughput': 1.464606367213585, 'latency_mean': 5.428647973537445, 'latency_p50': 5.39346969127655, 'latency_p90': 6.051390957832337}, {'batch_size': 10, 'throughput': 1.5037691811481964, 'latency_mean': 6.590952430963516, 'latency_p50': 6.59679388999939, 'latency_p90': 7.477546858787536}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-mistral-nemo_54525_v1
is_internal_developer: True
language_model: bogoconic1/mistral-nemo-13b-280k-step225
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-05-01
win_ratio: 0.4775212636695018
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-mistral-nemo-54525-v1-mkmlizer
Waiting for job on bogoconic1-mistral-nemo-54525-v1-mkmlizer to finish
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ _____ __ __ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ /___/ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ Version: 0.12.8 ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ https://mk1.ai ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ The license key for the current software has been verified as ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ belonging to: ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ Chai Research Corp. ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-54525-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-mistral-nemo-54525-v1-mkmlizer: Downloaded to shared memory in 40.350s
bogoconic1-mistral-nemo-54525-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo3bg8c6p, device:0
bogoconic1-mistral-nemo-54525-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-mistral-nemo-54525-v1-mkmlizer: quantized model in 36.056s
bogoconic1-mistral-nemo-54525-v1-mkmlizer: Processed model bogoconic1/mistral-nemo-13b-280k-step225 in 76.407s
bogoconic1-mistral-nemo-54525-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-mistral-nemo-54525-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-mistral-nemo-54525-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1
bogoconic1-mistral-nemo-54525-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1/config.json
bogoconic1-mistral-nemo-54525-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1/special_tokens_map.json
bogoconic1-mistral-nemo-54525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1/tokenizer_config.json
bogoconic1-mistral-nemo-54525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1/tokenizer.json
bogoconic1-mistral-nemo-54525-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-mistral-nemo-54525-v1/flywheel_model.0.safetensors
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Job bogoconic1-mistral-nemo-54525-v1-mkmlizer completed after 104.56s with status: succeeded
Stopping job with name bogoconic1-mistral-nemo-54525-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.02s
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Creating inference service bogoconic1-mistral-nemo-54525-v1
Waiting for inference service bogoconic1-mistral-nemo-54525-v1 to be ready
Inference service bogoconic1-mistral-nemo-54525-v1 ready after 150.49994325637817s
Pipeline stage MKMLDeployer completed in 150.95s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.342471122741699s
Received healthy response to inference request in 1.7357821464538574s
Received healthy response to inference request in 1.4752116203308105s
Received healthy response to inference request in 2.230109930038452s
Received healthy response to inference request in 1.5620653629302979s
5 requests
0 failed requests
5th percentile: 1.492582368850708
10th percentile: 1.5099531173706056
20th percentile: 1.5446946144104003
30th percentile: 1.5968087196350098
40th percentile: 1.6662954330444335
50th percentile: 1.7357821464538574
60th percentile: 1.9335132598876952
70th percentile: 2.131244373321533
80th percentile: 2.2525821685791017
90th percentile: 2.2975266456604
95th percentile: 2.3199988842010497
99th percentile: 2.3379766750335693
mean time: 1.8691280364990235
Pipeline stage StressChecker completed in 10.74s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3898.30s
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