developer_uid: Meliodia
submission_id: mistralai-mistral-nem_93303_v243
model_name: mistralai-mistral-nem_93303_v243
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-02T16:37:10+00:00
num_battles: 16505
num_wins: 7692
celo_rating: 1242.54
family_friendly_score: 0.6022000000000001
family_friendly_standard_error: 0.006921779539973806
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6198257628483191, 'latency_mean': 1.6132687854766845, 'latency_p50': 1.612191915512085, 'latency_p90': 1.7892714738845825}, {'batch_size': 3, 'throughput': 1.1411437261316764, 'latency_mean': 2.6258548879623413, 'latency_p50': 2.6227771043777466, 'latency_p90': 2.9014143705368043}, {'batch_size': 5, 'throughput': 1.385179245484473, 'latency_mean': 3.588561968803406, 'latency_p50': 3.6193645000457764, 'latency_p90': 4.0590719223022464}, {'batch_size': 6, 'throughput': 1.451097021798063, 'latency_mean': 4.109304503202439, 'latency_p50': 4.100592017173767, 'latency_p90': 4.651640748977661}, {'batch_size': 8, 'throughput': 1.5281914054867667, 'latency_mean': 5.2060248410701755, 'latency_p50': 5.200204372406006, 'latency_p90': 5.833577871322632}, {'batch_size': 10, 'throughput': 1.5760731321435169, 'latency_mean': 6.291371929645538, 'latency_p50': 6.261412978172302, 'latency_p90': 7.049439477920532}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v243
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.41
us_pacific_date: 2025-01-02
win_ratio: 0.4660405937594668
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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 mistralai-mistral-nem-93303-v243-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v243-mkmlizer to finish
mistralai-mistral-nem-93303-v243-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v243-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nem-93303-v243-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v243-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v243-mkmlizer: Downloaded to shared memory in 54.996s
mistralai-mistral-nem-93303-v243-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk_cj194u, device:0
mistralai-mistral-nem-93303-v243-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v243-mkmlizer: quantized model in 36.034s
mistralai-mistral-nem-93303-v243-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 91.030s
mistralai-mistral-nem-93303-v243-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v243-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v243-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243
mistralai-mistral-nem-93303-v243-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243/config.json
mistralai-mistral-nem-93303-v243-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243/special_tokens_map.json
mistralai-mistral-nem-93303-v243-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243/tokenizer_config.json
mistralai-mistral-nem-93303-v243-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243/tokenizer.json
mistralai-mistral-nem-93303-v243-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v243/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v243-mkmlizer completed after 115.39s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v243-mkmlizer
Pipeline stage MKMLizer completed in 116.00s
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Creating inference service mistralai-mistral-nem-93303-v243
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Inference service mistralai-mistral-nem-93303-v243 ready after 321.25056529045105s
Pipeline stage MKMLDeployer completed in 321.83s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.119434118270874s
Received healthy response to inference request in 1.804065227508545s
Received healthy response to inference request in 1.8036439418792725s
Received healthy response to inference request in 1.1469311714172363s
Received healthy response to inference request in 1.8070437908172607s
5 requests
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5th percentile: 1.2782737255096435
10th percentile: 1.4096162796020508
20th percentile: 1.6723013877868653
30th percentile: 1.803728199005127
40th percentile: 1.803896713256836
50th percentile: 1.804065227508545
60th percentile: 1.8052566528320313
70th percentile: 1.8064480781555177
80th percentile: 1.8695218563079834
90th percentile: 1.9944779872894287
95th percentile: 2.0569560527801514
99th percentile: 2.1069385051727294
mean time: 1.7362236499786377
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mistralai-mistral-nem_93303_v243 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v243 status is now torndown due to DeploymentManager action