developer_uid: huohuo12
submission_id: mistralai-ministral-8b-_47735_v4
model_name: mistralai-ministral-8b-_47735_v4
model_group: mistralai/Ministral-8B-I
status: torndown
timestamp: 2025-02-20T07:18:47+00:00
num_battles: 5450
num_wins: 2515
celo_rating: 1215.91
family_friendly_score: 0.617
family_friendly_standard_error: 0.006874750904578289
submission_type: basic
model_repo: mistralai/Ministral-8B-Instruct-2410
model_architecture: MistralForCausalLM
model_num_parameters: 8019808256.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8382095907778767, 'latency_mean': 1.1929545950889588, 'latency_p50': 1.1920260190963745, 'latency_p90': 1.3096187114715576}, {'batch_size': 4, 'throughput': 1.7315778261810124, 'latency_mean': 2.2975600612163545, 'latency_p50': 2.291825532913208, 'latency_p90': 2.564047122001648}, {'batch_size': 5, 'throughput': 1.8517129809914028, 'latency_mean': 2.6860434079170226, 'latency_p50': 2.674083709716797, 'latency_p90': 3.027560520172119}, {'batch_size': 8, 'throughput': 2.036292446941768, 'latency_mean': 3.908873471021652, 'latency_p50': 3.8940627574920654, 'latency_p90': 4.405432271957397}, {'batch_size': 10, 'throughput': 2.1022087422524858, 'latency_mean': 4.721126973628998, 'latency_p50': 4.750619292259216, 'latency_p90': 5.404883337020874}, {'batch_size': 12, 'throughput': 2.0930319189932596, 'latency_mean': 5.670533990859985, 'latency_p50': 5.645715951919556, 'latency_p90': 6.410474467277527}, {'batch_size': 15, 'throughput': 2.1010531461870814, 'latency_mean': 7.044087153673172, 'latency_p50': 7.0918543338775635, 'latency_p90': 7.849934530258179}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-ministral-8b-_47735_v4
is_internal_developer: False
language_model: mistralai/Ministral-8B-Instruct-2410
model_size: 8B
ranking_group: single
throughput_3p7s: 2.02
us_pacific_date: 2025-02-19
win_ratio: 0.4614678899082569
generation_params: {'temperature': 1.02, 'top_p': 0.86, 'min_p': 0.027, 'top_k': 44, 'presence_penalty': 0.62, 'frequency_penalty': 0.3, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-ministral-8b-47735-v4-mkmlizer
Waiting for job on mistralai-ministral-8b-47735-v4-mkmlizer to finish
mistralai-ministral-8b-47735-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-ministral-8b-47735-v4-mkmlizer: ║     _____            __           __                                ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║       /___/                                                         ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║                                                                     ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  Version: 0.12.8                                                    ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║                                                                     ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  belonging to:                                                      ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║                                                                     ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
mistralai-ministral-8b-47735-v4-mkmlizer: ║                                                                     ║
mistralai-ministral-8b-47735-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-ministral-8b-47735-v4-mkmlizer: Downloaded to shared memory in 39.049s
mistralai-ministral-8b-47735-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpif6d0zde, device:0
mistralai-ministral-8b-47735-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-ministral-8b-47735-v4-mkmlizer: 
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You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message.
mistralai-ministral-8b-47735-v4-mkmlizer: quantized model in 28.794s
mistralai-ministral-8b-47735-v4-mkmlizer: Processed model mistralai/Ministral-8B-Instruct-2410 in 67.844s
mistralai-ministral-8b-47735-v4-mkmlizer: creating bucket guanaco-mkml-models
mistralai-ministral-8b-47735-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-ministral-8b-47735-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-ministral-8b-47735-v4
mistralai-ministral-8b-47735-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-ministral-8b-47735-v4/config.json
mistralai-ministral-8b-47735-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-ministral-8b-47735-v4/special_tokens_map.json
mistralai-ministral-8b-47735-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-ministral-8b-47735-v4/tokenizer_config.json
mistralai-ministral-8b-47735-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-ministral-8b-47735-v4/tokenizer.json
Job mistralai-ministral-8b-47735-v4-mkmlizer completed after 95.98s with status: succeeded
Stopping job with name mistralai-ministral-8b-47735-v4-mkmlizer
Pipeline stage MKMLizer completed in 96.78s
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Creating inference service mistralai-ministral-8b-47735-v4
Waiting for inference service mistralai-ministral-8b-47735-v4 to be ready
Inference service mistralai-ministral-8b-47735-v3 ready after 200.77076935768127s
Pipeline stage MKMLDeployer completed in 201.29s
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Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
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mean time: 5.466343212127685
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mean time: 1.266941738128662
Pipeline stage StressChecker completed in 39.09s
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mistralai-ministral-8b-_47735_v3 status is now deployed due to DeploymentManager action
Inference service mistralai-ministral-8b-47735-v4 ready after 200.73033618927002s
Pipeline stage MKMLDeployer completed in 201.37s
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Received healthy response to inference request in 1.9464879035949707s
Received healthy response to inference request in 1.1868939399719238s
Received healthy response to inference request in 1.26674222946167s
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Received unhealthy response to inference request!
Received healthy response to inference request in 1.2067201137542725s
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mean time: 1.3719016551971435
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Received healthy response to inference request in 1.176637887954712s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2175.05s
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mistralai-ministral-8b-_47735_v4 status is now inactive due to auto deactivation removed underperforming models
mistralai-ministral-8b-_47735_v4 status is now torndown due to DeploymentManager action
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