developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v252
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-05T15:37:25+00:00
num_battles: 15868
num_wins: 7150
celo_rating: 1238.25
family_friendly_score: 0.594
family_friendly_standard_error: 0.006944983801277006
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6323907340789179, 'latency_mean': 1.5812400555610657, 'latency_p50': 1.5760992765426636, 'latency_p90': 1.7419177293777466}, {'batch_size': 3, 'throughput': 1.243191424924672, 'latency_mean': 2.4053832399845123, 'latency_p50': 2.403130531311035, 'latency_p90': 2.582333874702454}, {'batch_size': 5, 'throughput': 1.5716515886732079, 'latency_mean': 3.167005667686462, 'latency_p50': 3.2050182819366455, 'latency_p90': 3.5451880931854247}, {'batch_size': 6, 'throughput': 1.682549966527545, 'latency_mean': 3.5487262392044068, 'latency_p50': 3.56137216091156, 'latency_p90': 3.981911063194275}, {'batch_size': 8, 'throughput': 1.8414069443739076, 'latency_mean': 4.3140308690071105, 'latency_p50': 4.3219804763793945, 'latency_p90': 4.77596652507782}, {'batch_size': 10, 'throughput': 1.9302046345842814, 'latency_mean': 5.139575493335724, 'latency_p50': 5.155688405036926, 'latency_p90': 5.753518795967102}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.73
us_pacific_date: 2025-01-05
win_ratio: 0.4505923871943534
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['User:', '<|eot_id|>', 'Bot:', '</s>', 'You:', '####', '<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v252-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v252-mkmlizer to finish
mistralai-mistral-nem-93303-v252-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v252-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v252-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v252-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v252-mkmlizer: Downloaded to shared memory in 54.258s
mistralai-mistral-nem-93303-v252-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4aid03yj, device:0
mistralai-mistral-nem-93303-v252-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v252-mkmlizer: quantized model in 36.783s
mistralai-mistral-nem-93303-v252-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 91.042s
mistralai-mistral-nem-93303-v252-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v252-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v252-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252
mistralai-mistral-nem-93303-v252-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252/config.json
mistralai-mistral-nem-93303-v252-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252/special_tokens_map.json
mistralai-mistral-nem-93303-v252-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252/tokenizer_config.json
mistralai-mistral-nem-93303-v252-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252/tokenizer.json
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mistralai-mistral-nem-93303-v252-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v252/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v252-mkmlizer completed after 115.47s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v252-mkmlizer
Pipeline stage MKMLizer completed in 115.98s
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Creating inference service mistralai-mistral-nem-93303-v252
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Inference service mistralai-mistral-nem-93303-v252 ready after 351.4140636920929s
Pipeline stage MKMLDeployer completed in 351.95s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7803969383239746s
Received healthy response to inference request in 1.3585739135742188s
Received healthy response to inference request in 0.9228057861328125s
Received healthy response to inference request in 1.0222480297088623s
Received healthy response to inference request in 0.9918656349182129s
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99th percentile: 1.7635240173339843
mean time: 1.2151780605316163
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mistralai-mistral-nem_93303_v252 status is now torndown due to DeploymentManager action