developer_uid: azuruce
submission_id: mistralai-mistral-nemo_9330_v209
model_name: ava-a
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-12-10T06:25:48+00:00
num_battles: 72190
num_wins: 35644
celo_rating: 1232.18
family_friendly_score: 0.5816
family_friendly_standard_error: 0.006976266049972578
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': 0.638054460124093, 'latency_mean': 1.5671945583820344, 'latency_p50': 1.560490608215332, 'latency_p90': 1.7334153652191162}, {'batch_size': 3, 'throughput': 1.273693299929134, 'latency_mean': 2.3456338918209076, 'latency_p50': 2.3402456045150757, 'latency_p90': 2.5749918460845946}, {'batch_size': 5, 'throughput': 1.604083828393231, 'latency_mean': 3.0957371127605438, 'latency_p50': 3.1137568950653076, 'latency_p90': 3.492437720298767}, {'batch_size': 6, 'throughput': 1.7181636008193244, 'latency_mean': 3.4682580995559693, 'latency_p50': 3.469486117362976, 'latency_p90': 3.9174166679382325}, {'batch_size': 8, 'throughput': 1.8788459025236746, 'latency_mean': 4.2265985810756685, 'latency_p50': 4.240925431251526, 'latency_p90': 4.778657793998718}, {'batch_size': 10, 'throughput': 1.9506910123196068, 'latency_mean': 5.090418310165405, 'latency_p50': 5.102213025093079, 'latency_p90': 5.6533873081207275}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: ava-a
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-09
win_ratio: 0.4937525973126472
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|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-nemo-9330-v209-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v209-mkmlizer to finish
mistralai-mistral-nemo-9330-v209-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v209-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v209-mkmlizer: Downloaded to shared memory in 59.909s
mistralai-mistral-nemo-9330-v209-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuviskf0a, device:0
mistralai-mistral-nemo-9330-v209-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v209-mkmlizer: quantized model in 38.071s
mistralai-mistral-nemo-9330-v209-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 97.980s
mistralai-mistral-nemo-9330-v209-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v209-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v209-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209
mistralai-mistral-nemo-9330-v209-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209/config.json
mistralai-mistral-nemo-9330-v209-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209/special_tokens_map.json
mistralai-mistral-nemo-9330-v209-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209/tokenizer_config.json
mistralai-mistral-nemo-9330-v209-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209/tokenizer.json
mistralai-mistral-nemo-9330-v209-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v209/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v209-mkmlizer completed after 124.56s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v209-mkmlizer
Pipeline stage MKMLizer completed in 125.04s
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Creating inference service mistralai-mistral-nemo-9330-v209
Waiting for inference service mistralai-mistral-nemo-9330-v209 to be ready
Inference service mistralai-mistral-nemo-9330-v209 ready after 180.62335920333862s
Pipeline stage MKMLDeployer completed in 181.17s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7501986026763916s
Received healthy response to inference request in 1.3563425540924072s
Received healthy response to inference request in 1.2544527053833008s
Received healthy response to inference request in 1.5238373279571533s
Received healthy response to inference request in 1.302431344985962s
5 requests
0 failed requests
5th percentile: 1.264048433303833
10th percentile: 1.2736441612243652
20th percentile: 1.2928356170654296
30th percentile: 1.313213586807251
40th percentile: 1.334778070449829
50th percentile: 1.3563425540924072
60th percentile: 1.4233404636383056
70th percentile: 1.4903383731842041
80th percentile: 1.569109582901001
90th percentile: 1.6596540927886962
95th percentile: 1.7049263477325438
99th percentile: 1.741144151687622
mean time: 1.437452507019043
Pipeline stage StressChecker completed in 8.62s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.33s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2503.51s
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mistralai-mistral-nemo_9330_v209 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v209 status is now inactive due to auto deactivation removed underperforming models