mistralai-mistral-nemo_9330

submission_id: mistralai-mistral-nemo_9330_v198

developer_uid: chai_backend_admin

best_of: 8

celo_rating: 1249.73

display_name: mistralai-mistral-nemo_9330_v198

family_friendly_score: 0.5780000000000001

family_friendly_standard_error: 0.006984497118619207

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}

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}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

latencies: [{'batch_size': 1, 'throughput': 0.6211757534225982, 'latency_mean': 1.6097920715808869, 'latency_p50': 1.618743896484375, 'latency_p90': 1.7636963844299316}, {'batch_size': 3, 'throughput': 1.147686486467081, 'latency_mean': 2.6053042125701906, 'latency_p50': 2.5985082387924194, 'latency_p90': 2.899249768257141}, {'batch_size': 5, 'throughput': 1.4030173212965424, 'latency_mean': 3.5524996852874757, 'latency_p50': 3.556036949157715, 'latency_p90': 4.068032264709473}, {'batch_size': 6, 'throughput': 1.468220348702158, 'latency_mean': 4.068611644506454, 'latency_p50': 4.091520309448242, 'latency_p90': 4.528817653656006}, {'batch_size': 8, 'throughput': 1.5297931620987995, 'latency_mean': 5.195095013380051, 'latency_p50': 5.25166380405426, 'latency_p90': 5.918652176856995}, {'batch_size': 10, 'throughput': 1.5749500429875, 'latency_mean': 6.296884407997132, 'latency_p50': 6.269200682640076, 'latency_p90': 7.106090950965881}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: mistralai/Mistral-Nemo-I

model_name: mistralai-mistral-nemo_9330_v198

model_num_parameters: 12772070400.0

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

num_battles: 12760

num_wins: 6454

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.43

timestamp: 2024-11-13T18:01:22+00:00

us_pacific_date: 2024-11-13

win_ratio: 0.5057993730407524

Resubmit model

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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v198-mkmlizer
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mistralai-mistral-nemo-9330-v198-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v198-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v198-mkmlizer: Downloaded to shared memory in 53.277s
mistralai-mistral-nemo-9330-v198-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpulqgc2tj, device:0
mistralai-mistral-nemo-9330-v198-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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mistralai-mistral-nemo-9330-v198-mkmlizer: quantized model in 35.821s
mistralai-mistral-nemo-9330-v198-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.099s
mistralai-mistral-nemo-9330-v198-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v198-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v198-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198
mistralai-mistral-nemo-9330-v198-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198/config.json
mistralai-mistral-nemo-9330-v198-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198/special_tokens_map.json
mistralai-mistral-nemo-9330-v198-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198/tokenizer_config.json
mistralai-mistral-nemo-9330-v198-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198/tokenizer.json
mistralai-mistral-nemo-9330-v198-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v198/flywheel_model.0.safetensors
Job mistralai-mistral-nemo-9330-v198-mkmlizer completed after 165.07s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v198-mkmlizer
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Failed to get response for submission blend_gerot_2024-10-19: ('http://chaiml-lexical-nemov8-1k1e5-v14-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:34976->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service mistralai-mistral-nemo-9330-v198 ready after 200.82317638397217s
Pipeline stage MKMLDeployer completed in 201.36s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.113908529281616s
Received healthy response to inference request in 1.6170122623443604s
Received healthy response to inference request in 1.8165199756622314s
Received healthy response to inference request in 1.7273707389831543s
Received healthy response to inference request in 1.6925456523895264s
5 requests
0 failed requests
5th percentile: 1.6321189403533936
10th percentile: 1.6472256183624268
20th percentile: 1.6774389743804932
30th percentile: 1.699510669708252
40th percentile: 1.7134407043457032
50th percentile: 1.7273707389831543
60th percentile: 1.763030433654785
70th percentile: 1.798690128326416
80th percentile: 1.8759976863861085
90th percentile: 1.9949531078338623
95th percentile: 2.0544308185577393
99th percentile: 2.102012987136841
mean time: 1.7934714317321778
Pipeline stage StressChecker completed in 10.30s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 3.10s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2988.43s
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mistralai-mistral-nemo_9330_v198 status is now inactive due to auto deactivation removed underperforming models