mistralai-mistral-nemo_9330

developer_uid: azuruce

submission_id: mistralai-mistral-nemo_9330_v214

model_name: mistralai-mistral-nemo_9330_v214

model_group: mistralai/Mistral-Nemo-I

status: inactive

timestamp: 2024-12-17T23:55:02+00:00

num_battles: 13221

num_wins: 6070

celo_rating: 1236.85

family_friendly_score: 0.5986

family_friendly_standard_error: 0.006932215230357464

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

latencies: [{'batch_size': 1, 'throughput': 0.6446686231602187, 'latency_mean': 1.5511270248889923, 'latency_p50': 1.5478427410125732, 'latency_p90': 1.7061341047286986}, {'batch_size': 3, 'throughput': 1.2823707088831846, 'latency_mean': 2.3333573007583617, 'latency_p50': 2.335045576095581, 'latency_p90': 2.552640962600708}, {'batch_size': 5, 'throughput': 1.6024528114287209, 'latency_mean': 3.101115550994873, 'latency_p50': 3.103113532066345, 'latency_p90': 3.5082658529281616}, {'batch_size': 6, 'throughput': 1.7258686691195542, 'latency_mean': 3.4562124955654143, 'latency_p50': 3.4751129150390625, 'latency_p90': 3.9214380264282225}, {'batch_size': 8, 'throughput': 1.891773983663686, 'latency_mean': 4.18790666103363, 'latency_p50': 4.195134162902832, 'latency_p90': 4.691834855079651}, {'batch_size': 10, 'throughput': 1.9672015015760485, 'latency_mean': 5.047457332611084, 'latency_p50': 5.096768736839294, 'latency_p90': 5.751064682006835}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nemo_9330_v214

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.8

us_pacific_date: 2024-12-17

win_ratio: 0.45911806973753877

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', '<|eot_id|>', '<|end_of_text|>', 'You:'], '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': '### Response:\n{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-nemo-9330-v214-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v214-mkmlizer to finish
mistralai-mistral-nemo-9330-v214-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v214-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v214-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v214-mkmlizer: Downloaded to shared memory in 54.353s
mistralai-mistral-nemo-9330-v214-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp622vubf6, device:0
mistralai-mistral-nemo-9330-v214-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v214-mkmlizer: quantized model in 36.011s
mistralai-mistral-nemo-9330-v214-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.364s
mistralai-mistral-nemo-9330-v214-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v214-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v214-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214
mistralai-mistral-nemo-9330-v214-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214/config.json
mistralai-mistral-nemo-9330-v214-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214/special_tokens_map.json
mistralai-mistral-nemo-9330-v214-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214/tokenizer_config.json
mistralai-mistral-nemo-9330-v214-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214/tokenizer.json
mistralai-mistral-nemo-9330-v214-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v214/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v214-mkmlizer completed after 114.25s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v214-mkmlizer
Pipeline stage MKMLizer completed in 114.73s
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Creating inference service mistralai-mistral-nemo-9330-v214
Waiting for inference service mistralai-mistral-nemo-9330-v214 to be ready
Inference service mistralai-mistral-nemo-9330-v214 ready after 220.7665717601776s
Pipeline stage MKMLDeployer completed in 221.28s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9552264213562012s
Received healthy response to inference request in 1.349172592163086s
Received healthy response to inference request in 1.3598921298980713s
Received healthy response to inference request in 1.4862768650054932s
Received healthy response to inference request in 1.3471250534057617s
5 requests
0 failed requests
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mean time: 1.4995386123657226
Pipeline stage StressChecker completed in 8.74s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3202.63s
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mistralai-mistral-nemo_9330_v214 status is now inactive due to auto deactivation removed underperforming models