developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v251
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-05T01:42:05+00:00
num_battles: 9066
num_wins: 3969
celo_rating: 1233.93
family_friendly_score: 0.5942000000000001
family_friendly_standard_error: 0.006944441806221721
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': 0.63397794904121, 'latency_mean': 1.5772454488277434, 'latency_p50': 1.5881813764572144, 'latency_p90': 1.7324113368988037}, {'batch_size': 3, 'throughput': 1.2542669103306756, 'latency_mean': 2.3832093369960785, 'latency_p50': 2.4018362760543823, 'latency_p90': 2.6142579317092896}, {'batch_size': 5, 'throughput': 1.563243307288279, 'latency_mean': 3.1845558381080625, 'latency_p50': 3.1791186332702637, 'latency_p90': 3.477349376678467}, {'batch_size': 6, 'throughput': 1.6855605217001555, 'latency_mean': 3.537631323337555, 'latency_p50': 3.531515121459961, 'latency_p90': 3.907004427909851}, {'batch_size': 8, 'throughput': 1.8204981033099807, 'latency_mean': 4.359020142555237, 'latency_p50': 4.409591555595398, 'latency_p90': 4.924775242805481}, {'batch_size': 10, 'throughput': 1.9121765584792823, 'latency_mean': 5.1823734545707705, 'latency_p50': 5.174699783325195, 'latency_p90': 5.8558546781539915}]
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: 2025-01-04
win_ratio: 0.4377895433487756
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': ['<|im_end|>', 'Bot:', '\n', 'User:', '####', '</s>', 'You:', '<|eot_id|>'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nem-93303-v251-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v251-mkmlizer to finish
mistralai-mistral-nem-93303-v251-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v251-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v251-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v251-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v251-mkmlizer: Downloaded to shared memory in 58.984s
mistralai-mistral-nem-93303-v251-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm37t1dl0, device:0
mistralai-mistral-nem-93303-v251-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v251-mkmlizer: quantized model in 37.032s
mistralai-mistral-nem-93303-v251-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 96.017s
mistralai-mistral-nem-93303-v251-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v251-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v251-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251
mistralai-mistral-nem-93303-v251-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251/config.json
mistralai-mistral-nem-93303-v251-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251/special_tokens_map.json
mistralai-mistral-nem-93303-v251-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251/tokenizer_config.json
mistralai-mistral-nem-93303-v251-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251/tokenizer.json
mistralai-mistral-nem-93303-v251-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v251/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v251-mkmlizer completed after 124.96s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v251-mkmlizer
Pipeline stage MKMLizer completed in 125.50s
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Pipeline stage MKMLTemplater completed in 0.19s
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Creating inference service mistralai-mistral-nem-93303-v251
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Inference service mistralai-mistral-nem-93303-v251 ready after 341.73481845855713s
Pipeline stage MKMLDeployer completed in 342.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.973066806793213s
Received healthy response to inference request in 1.2057478427886963s
Received healthy response to inference request in 0.9035441875457764s
Received healthy response to inference request in 0.9109179973602295s
Received healthy response to inference request in 0.4624648094177246s
5 requests
0 failed requests
5th percentile: 0.550680685043335
10th percentile: 0.6388965606689453
20th percentile: 0.8153283119201661
30th percentile: 0.905018949508667
40th percentile: 0.9079684734344482
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60th percentile: 1.0288499355316163
70th percentile: 1.1467818737030029
80th percentile: 1.3592116355895998
90th percentile: 1.6661392211914063
95th percentile: 1.8196030139923094
99th percentile: 1.9423740482330323
mean time: 1.0911483287811279
Pipeline stage StressChecker completed in 6.91s
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mistralai-mistral-nem_93303_v251 status is now torndown due to DeploymentManager action