mistralai-mistral-nem_93303

developer_uid: zonemercy

submission_id: mistralai-mistral-nem_93303_v230

model_name: tempv1-0

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2024-12-27T23:02:20+00:00

num_battles: 13152

num_wins: 5895

celo_rating: 1237.46

family_friendly_score: 0.5928

family_friendly_standard_error: 0.006948210704922527

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': 0.6420294040430921, 'latency_mean': 1.557497650384903, 'latency_p50': 1.5526067018508911, 'latency_p90': 1.7176862001419066}, {'batch_size': 4, 'throughput': 1.509668288134094, 'latency_mean': 2.6372523987293244, 'latency_p50': 2.6123470067977905, 'latency_p90': 2.9970695495605466}, {'batch_size': 5, 'throughput': 1.6289775231299013, 'latency_mean': 3.0457921624183655, 'latency_p50': 3.0406605005264282, 'latency_p90': 3.4689269065856934}, {'batch_size': 8, 'throughput': 1.9181822006970175, 'latency_mean': 4.150901210308075, 'latency_p50': 4.132051110267639, 'latency_p90': 4.720865249633789}, {'batch_size': 10, 'throughput': 1.9978404738311215, 'latency_mean': 4.966599119901657, 'latency_p50': 4.985773682594299, 'latency_p90': 5.804371929168701}, {'batch_size': 12, 'throughput': 2.059507503202237, 'latency_mean': 5.7700472676754, 'latency_p50': 5.819093823432922, 'latency_p90': 6.492281460762023}, {'batch_size': 15, 'throughput': 2.099953001311269, 'latency_mean': 7.070351771116257, 'latency_p50': 7.081122636795044, 'latency_p90': 7.984384679794312}]

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: 1.83

us_pacific_date: 2024-12-27

win_ratio: 0.448220802919708

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': 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-v230-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v230-mkmlizer to finish
mistralai-mistral-nem-93303-v230-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v230-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nem-93303-v230-mkmlizer: ║                                                                     ║
mistralai-mistral-nem-93303-v230-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
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mistralai-mistral-nem-93303-v230-mkmlizer: Downloaded to shared memory in 55.325s
mistralai-mistral-nem-93303-v230-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnvuorj2q, device:0
mistralai-mistral-nem-93303-v230-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v230-mkmlizer: quantized model in 37.239s
mistralai-mistral-nem-93303-v230-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 92.565s
mistralai-mistral-nem-93303-v230-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v230-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v230-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230
mistralai-mistral-nem-93303-v230-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230/config.json
mistralai-mistral-nem-93303-v230-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230/special_tokens_map.json
mistralai-mistral-nem-93303-v230-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230/tokenizer_config.json
mistralai-mistral-nem-93303-v230-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230/tokenizer.json
mistralai-mistral-nem-93303-v230-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v230/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v230-mkmlizer completed after 114.59s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v230-mkmlizer
Pipeline stage MKMLizer completed in 115.04s
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Creating inference service mistralai-mistral-nem-93303-v230
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Inference service mistralai-mistral-nem-93303-v230 ready after 291.45842599868774s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.230224609375s
Received healthy response to inference request in 0.8985419273376465s
Received healthy response to inference request in 0.597684383392334s
Received healthy response to inference request in 1.2736916542053223s
Received healthy response to inference request in 1.0993165969848633s
5 requests
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5th percentile: 0.6578558921813965
10th percentile: 0.718027400970459
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mean time: 1.0198918342590333
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