submission_id: mistralai-mistral-nemo_9330_v205
developer_uid: alex-au-chai-research
best_of: 8
celo_rating: 1245.61
display_name: mistralai-mistral-nemo_9330_v205
family_friendly_score: 0.5820000000000001
family_friendly_standard_error: 0.006975327949279518
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: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
latencies: [{'batch_size': 1, 'throughput': 0.618707101542856, 'latency_mean': 1.6162154030799867, 'latency_p50': 1.6138525009155273, 'latency_p90': 1.7755630970001222}, {'batch_size': 3, 'throughput': 1.1429128199082803, 'latency_mean': 2.613288700580597, 'latency_p50': 2.6281352043151855, 'latency_p90': 2.913605570793152}, {'batch_size': 5, 'throughput': 1.3774118882223652, 'latency_mean': 3.6056604838371276, 'latency_p50': 3.6095298528671265, 'latency_p90': 3.980051803588867}, {'batch_size': 6, 'throughput': 1.4517734736629486, 'latency_mean': 4.117313511371613, 'latency_p50': 4.147541761398315, 'latency_p90': 4.653853940963745}, {'batch_size': 8, 'throughput': 1.5222874642035222, 'latency_mean': 5.235762791633606, 'latency_p50': 5.224357843399048, 'latency_p90': 5.881760740280152}, {'batch_size': 10, 'throughput': 1.5566265954616418, 'latency_mean': 6.362050498723984, 'latency_p50': 6.430033445358276, 'latency_p90': 7.067747616767884}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo_9330_v205
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 19576
num_wins: 9297
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.4
timestamp: 2024-11-26T18:18:12+00:00
us_pacific_date: 2024-11-26
win_ratio: 0.47491826726604003
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-v205-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v205-mkmlizer to finish
mistralai-mistral-nemo-9330-v205-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v205-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v205-mkmlizer: Downloaded to shared memory in 53.854s
mistralai-mistral-nemo-9330-v205-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpplog02wt, device:0
mistralai-mistral-nemo-9330-v205-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v205-mkmlizer: quantized model in 36.004s
mistralai-mistral-nemo-9330-v205-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.858s
mistralai-mistral-nemo-9330-v205-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v205-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v205-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/special_tokens_map.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/config.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/tokenizer_config.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/tokenizer.json
mistralai-mistral-nemo-9330-v205-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v205/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v205-mkmlizer completed after 114.2s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v205-mkmlizer
Pipeline stage MKMLizer completed in 114.72s
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Creating inference service mistralai-mistral-nemo-9330-v205
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Inference service mistralai-mistral-nemo-9330-v205 ready after 130.4771270751953s
Pipeline stage MKMLDeployer completed in 131.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.069552183151245s
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Received healthy response to inference request in 1.9249207973480225s
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5th percentile: 1.7204225540161133
10th percentile: 1.7255340576171876
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30th percentile: 1.7776790142059327
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70th percentile: 2.0384366512298584
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95th percentile: 2.0690048694610597
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mean time: 1.9034936428070068
Pipeline stage StressChecker completed in 10.87s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3081.20s
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mistralai-mistral-nemo_9330_v205 status is now inactive due to auto deactivation removed underperforming models