mistralai-mistral-nemo_9330

developer_uid: Jellywibble

submission_id: mistralai-mistral-nemo_9330_v199

model_name: mistralai-mistral-nemo_9330_v199

model_group: mistralai/Mistral-Nemo-I

status: inactive

timestamp: 2024-11-23T22:12:05+00:00

num_battles: 18905

num_wins: 9005

celo_rating: 1243.44

family_friendly_score: 0.5784

family_friendly_standard_error: 0.006983601363193635

submission_type: basic

model_repo: mistralai/Mistral-Nemo-Instruct-2407

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6160524549768631, 'latency_mean': 1.6231768107414246, 'latency_p50': 1.6296442747116089, 'latency_p90': 1.7813236951828002}, {'batch_size': 3, 'throughput': 1.1487331643860308, 'latency_mean': 2.604644488096237, 'latency_p50': 2.6048624515533447, 'latency_p90': 2.887501430511475}, {'batch_size': 5, 'throughput': 1.4058636312974824, 'latency_mean': 3.540416259765625, 'latency_p50': 3.5649698972702026, 'latency_p90': 3.945588755607605}, {'batch_size': 6, 'throughput': 1.4726441529470684, 'latency_mean': 4.043846021890641, 'latency_p50': 4.047827243804932, 'latency_p90': 4.538400340080261}, {'batch_size': 8, 'throughput': 1.558276235973837, 'latency_mean': 5.091522687673569, 'latency_p50': 5.118600010871887, 'latency_p90': 5.712222790718078}, {'batch_size': 10, 'throughput': 1.5727206101472209, 'latency_mean': 6.317813079357148, 'latency_p50': 6.295091152191162, 'latency_p90': 7.1672567367553714}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: mistralai-mistral-nemo_9330_v199

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.44

us_pacific_date: 2024-11-23

win_ratio: 0.4763290134884951

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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}

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-v199-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v199-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v199-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v199-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v199-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v199-mkmlizer: Downloaded to shared memory in 52.934s
mistralai-mistral-nemo-9330-v199-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgc3e_0tl, device:0
mistralai-mistral-nemo-9330-v199-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v199-mkmlizer: quantized model in 36.109s
mistralai-mistral-nemo-9330-v199-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 89.044s
mistralai-mistral-nemo-9330-v199-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v199-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v199-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199
mistralai-mistral-nemo-9330-v199-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199/config.json
mistralai-mistral-nemo-9330-v199-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199/special_tokens_map.json
mistralai-mistral-nemo-9330-v199-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199/tokenizer_config.json
mistralai-mistral-nemo-9330-v199-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199/tokenizer.json
mistralai-mistral-nemo-9330-v199-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v199/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v199-mkmlizer completed after 114.55s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v199-mkmlizer
Pipeline stage MKMLizer completed in 115.04s
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Creating inference service mistralai-mistral-nemo-9330-v199
Waiting for inference service mistralai-mistral-nemo-9330-v199 to be ready
Inference service mistralai-mistral-nemo-9330-v199 ready after 110.37912130355835s
Pipeline stage MKMLDeployer completed in 110.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1867856979370117s
Received healthy response to inference request in 1.9140417575836182s
Received healthy response to inference request in 1.878692626953125s
Received healthy response to inference request in 1.8681988716125488s
Received healthy response to inference request in 1.6896295547485352s
5 requests
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5th percentile: 1.7253434181213378
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90th percentile: 2.077688121795654
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mean time: 1.9074697017669677
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2608.85s
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mistralai-mistral-nemo_9330_v199 status is now inactive due to auto deactivation removed underperforming models