bogoconic1-mistral-nemo_29152

developer_uid: bogoconic1

submission_id: bogoconic1-mistral-nemo_29152_v1

model_name: bogoconic1-mistral-nemo_29152_v1

model_group: bogoconic1/mistral-nemo-

status: torndown

timestamp: 2025-05-01T12:30:22+00:00

num_battles: 7120

num_wins: 3341

celo_rating: 1260.75

family_friendly_score: 0.5964

family_friendly_standard_error: 0.006938400968522935

submission_type: basic

model_repo: bogoconic1/mistral-nemo-13b-280k-step500

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.591779615166237, 'latency_mean': 1.689747531414032, 'latency_p50': 1.6804790496826172, 'latency_p90': 1.8720577239990235}, {'batch_size': 3, 'throughput': 1.0148761285681638, 'latency_mean': 2.9384107887744904, 'latency_p50': 2.9455575942993164, 'latency_p90': 3.2197991132736203}, {'batch_size': 5, 'throughput': 1.207041495165188, 'latency_mean': 4.125510782003403, 'latency_p50': 4.127889156341553, 'latency_p90': 4.629302978515625}, {'batch_size': 6, 'throughput': 1.259726170457208, 'latency_mean': 4.738560788631439, 'latency_p50': 4.745729923248291, 'latency_p90': 5.3952247381210325}, {'batch_size': 8, 'throughput': 1.3176717272034142, 'latency_mean': 6.026806857585907, 'latency_p50': 6.025906920433044, 'latency_p90': 6.832164549827576}, {'batch_size': 10, 'throughput': 1.345173603623544, 'latency_mean': 7.390257530212402, 'latency_p50': 7.4435824155807495, 'latency_p90': 8.51034743785858}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: bogoconic1-mistral-nemo_29152_v1

is_internal_developer: False

language_model: bogoconic1/mistral-nemo-13b-280k-step500

model_size: 13B

ranking_group: single

throughput_3p7s: 1.16

us_pacific_date: 2025-05-01

win_ratio: 0.4692415730337079

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-29152-v1-mkmlizer
Waiting for job on bogoconic1-mistral-nemo-29152-v1-mkmlizer to finish
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║     _____            __           __                                ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║       /___/                                                         ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║                                                                     ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║                                                                     ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║                                                                     ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ║                                                                     ║
bogoconic1-mistral-nemo-29152-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-mistral-nemo-29152-v1-mkmlizer: Downloaded to shared memory in 39.754s
bogoconic1-mistral-nemo-29152-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkb2m0309, device:0
bogoconic1-mistral-nemo-29152-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-mistral-nemo-29152-v1-mkmlizer: quantized model in 36.180s
bogoconic1-mistral-nemo-29152-v1-mkmlizer: Processed model bogoconic1/mistral-nemo-13b-280k-step500 in 75.935s
bogoconic1-mistral-nemo-29152-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-mistral-nemo-29152-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-mistral-nemo-29152-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1
bogoconic1-mistral-nemo-29152-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1/config.json
bogoconic1-mistral-nemo-29152-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1/special_tokens_map.json
bogoconic1-mistral-nemo-29152-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1/tokenizer_config.json
bogoconic1-mistral-nemo-29152-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1/tokenizer.json
bogoconic1-mistral-nemo-29152-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-mistral-nemo-29152-v1/flywheel_model.0.safetensors
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Job bogoconic1-mistral-nemo-29152-v1-mkmlizer completed after 104.55s with status: succeeded
Stopping job with name bogoconic1-mistral-nemo-29152-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.05s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-mistral-nemo-29152-v1
Waiting for inference service bogoconic1-mistral-nemo-29152-v1 to be ready
Inference service bogoconic1-mistral-nemo-29152-v1 ready after 150.4731960296631s
Pipeline stage MKMLDeployer completed in 150.90s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.30238676071167s
Received healthy response to inference request in 1.6633937358856201s
Received healthy response to inference request in 1.9094023704528809s
Received healthy response to inference request in 1.7539374828338623s
Received healthy response to inference request in 1.6186904907226562s
5 requests
0 failed requests
5th percentile: 1.627631139755249
10th percentile: 1.6365717887878417
20th percentile: 1.6544530868530274
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40th percentile: 1.7177199840545654
50th percentile: 1.7539374828338623
60th percentile: 1.8161234378814697
70th percentile: 1.878309392929077
80th percentile: 1.9879992485046387
90th percentile: 2.145193004608154
95th percentile: 2.223789882659912
99th percentile: 2.2866673851013184
mean time: 1.849562168121338
Pipeline stage StressChecker completed in 10.80s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4533.85s
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bogoconic1-mistral-nemo_29152_v1 status is now inactive due to auto deactivation removed underperforming models
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