developer_uid: bogoconic1
submission_id: bogoconic1-mistral-nemo_16330_v1
model_name: bogoconic1-mistral-nemo_16330_v1
model_group: bogoconic1/mistral-nemo-
status: torndown
timestamp: 2025-05-01T13:37:37+00:00
num_battles: 10348
num_wins: 4934
celo_rating: 1268.86
family_friendly_score: 0.5694
family_friendly_standard_error: 0.00700262293715719
submission_type: basic
model_repo: bogoconic1/mistral-nemo-13b-chai-step200
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6085424701450902, 'latency_mean': 1.6432098650932312, 'latency_p50': 1.6277329921722412, 'latency_p90': 1.8237273216247558}, {'batch_size': 3, 'throughput': 1.1021013686820487, 'latency_mean': 2.7156907749176025, 'latency_p50': 2.7295387983322144, 'latency_p90': 2.983859586715698}, {'batch_size': 5, 'throughput': 1.3223726402632225, 'latency_mean': 3.7637209975719452, 'latency_p50': 3.7755351066589355, 'latency_p90': 4.186116147041321}, {'batch_size': 6, 'throughput': 1.402040630535809, 'latency_mean': 4.262568690776825, 'latency_p50': 4.2821420431137085, 'latency_p90': 4.749826502799988}, {'batch_size': 8, 'throughput': 1.4440412481245997, 'latency_mean': 5.501285163164138, 'latency_p50': 5.531724214553833, 'latency_p90': 6.199107074737548}, {'batch_size': 10, 'throughput': 1.5003927120268712, 'latency_mean': 6.608295019865036, 'latency_p50': 6.552785634994507, 'latency_p90': 7.454231286048889}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-mistral-nemo_16330_v1
is_internal_developer: False
language_model: bogoconic1/mistral-nemo-13b-chai-step200
model_size: 13B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-05-01
win_ratio: 0.47680711248550445
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-16330-v1-mkmlizer
Waiting for job on bogoconic1-mistral-nemo-16330-v1-mkmlizer to finish
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ _____ __ __ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ /___/ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ Version: 0.12.8 ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ https://mk1.ai ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ The license key for the current software has been verified as ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ belonging to: ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ Chai Research Corp. ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ║ ║
bogoconic1-mistral-nemo-16330-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-mistral-nemo-16330-v1-mkmlizer: Downloaded to shared memory in 43.835s
bogoconic1-mistral-nemo-16330-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4656qg1e, device:0
bogoconic1-mistral-nemo-16330-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-mistral-nemo-16330-v1-mkmlizer: quantized model in 37.022s
bogoconic1-mistral-nemo-16330-v1-mkmlizer: Processed model bogoconic1/mistral-nemo-13b-chai-step200 in 80.858s
bogoconic1-mistral-nemo-16330-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-mistral-nemo-16330-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-mistral-nemo-16330-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1
bogoconic1-mistral-nemo-16330-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1/config.json
bogoconic1-mistral-nemo-16330-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1/special_tokens_map.json
bogoconic1-mistral-nemo-16330-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1/tokenizer_config.json
bogoconic1-mistral-nemo-16330-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1/tokenizer.json
bogoconic1-mistral-nemo-16330-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-mistral-nemo-16330-v1/flywheel_model.0.safetensors
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Job bogoconic1-mistral-nemo-16330-v1-mkmlizer completed after 104.44s with status: succeeded
Stopping job with name bogoconic1-mistral-nemo-16330-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.96s
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Creating inference service bogoconic1-mistral-nemo-16330-v1
Waiting for inference service bogoconic1-mistral-nemo-16330-v1 to be ready
Inference service bogoconic1-mistral-nemo-16330-v1 ready after 150.4971342086792s
Pipeline stage MKMLDeployer completed in 151.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.411914825439453s
Received healthy response to inference request in 1.7564997673034668s
Received healthy response to inference request in 1.9596993923187256s
Received healthy response to inference request in 1.9365346431732178s
Received healthy response to inference request in 1.6905407905578613s
5 requests
0 failed requests
5th percentile: 1.7037325859069825
10th percentile: 1.7169243812561035
20th percentile: 1.7433079719543456
30th percentile: 1.792506742477417
40th percentile: 1.8645206928253173
50th percentile: 1.9365346431732178
60th percentile: 1.945800542831421
70th percentile: 1.955066442489624
80th percentile: 2.0501424789428713
90th percentile: 2.231028652191162
95th percentile: 2.3214717388153074
99th percentile: 2.393826208114624
mean time: 1.951037883758545
Pipeline stage StressChecker completed in 11.18s
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