chaiml-mistral-nemo-dpo-_5165

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-dpo-_5165_v4

model_name: chaiml-mistral-nemo-dpo-_5165_v4

model_group: ChaiML/mistral_nemo_dpo_

status: inactive

timestamp: 2024-12-19T18:06:12+00:00

num_battles: 14254

num_wins: 7412

celo_rating: 1277.26

family_friendly_score: 0.5754

family_friendly_standard_error: 0.0069902051472041935

submission_type: basic

model_repo: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4680

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6117470408198117, 'latency_mean': 1.6345955419540406, 'latency_p50': 1.627599835395813, 'latency_p90': 1.7951269388198852}, {'batch_size': 3, 'throughput': 1.142621597267554, 'latency_mean': 2.622902743816376, 'latency_p50': 2.6164129972457886, 'latency_p90': 2.873389720916748}, {'batch_size': 5, 'throughput': 1.381132515959169, 'latency_mean': 3.6147425138950346, 'latency_p50': 3.620090365409851, 'latency_p90': 4.091547679901123}, {'batch_size': 6, 'throughput': 1.4648965663184488, 'latency_mean': 4.0740320956707, 'latency_p50': 4.065938353538513, 'latency_p90': 4.539341306686401}, {'batch_size': 8, 'throughput': 1.525911089207834, 'latency_mean': 5.209510017633438, 'latency_p50': 5.21185302734375, 'latency_p90': 5.841546559333802}, {'batch_size': 10, 'throughput': 1.5622746204368259, 'latency_mean': 6.341006062030792, 'latency_p50': 6.3562703132629395, 'latency_p90': 7.267185091972351}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-dpo-_5165_v4

is_internal_developer: True

language_model: ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4680

model_size: 13B

ranking_group: single

throughput_3p7s: 1.4

us_pacific_date: 2024-12-19

win_ratio: 0.5199943875403396

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, '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 chaiml-mistral-nemo-dpo-5165-v4-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-5165-v4-mkmlizer to finish
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: Downloaded to shared memory in 33.325s
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpoawy1xed, device:0
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: quantized model in 36.389s
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_241217_albert_v1-checkpoint-4680 in 69.714s
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4/config.json
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4/special_tokens_map.json
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4/tokenizer_config.json
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4/tokenizer.json
chaiml-mistral-nemo-dpo-5165-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-5165-v4/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-dpo-5165-v4-mkmlizer completed after 95.6s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-5165-v4-mkmlizer
Pipeline stage MKMLizer completed in 96.19s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-dpo-5165-v4
Waiting for inference service chaiml-mistral-nemo-dpo-5165-v4 to be ready
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Inference service chaiml-mistral-nemo-dpo-5165-v4 ready after 251.66033792495728s
Pipeline stage MKMLDeployer completed in 252.24s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2945358753204346s
Received healthy response to inference request in 1.1299185752868652s
Received healthy response to inference request in 2.000396490097046s
Received healthy response to inference request in 1.1370997428894043s
Received healthy response to inference request in 1.4898388385772705s
5 requests
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5th percentile: 1.131354808807373
10th percentile: 1.1327910423278809
20th percentile: 1.1356635093688965
30th percentile: 1.2076475620269775
40th percentile: 1.348743200302124
50th percentile: 1.4898388385772705
60th percentile: 1.6940618991851806
70th percentile: 1.8982849597930906
80th percentile: 2.0592243671417236
90th percentile: 2.176880121231079
95th percentile: 2.235707998275757
99th percentile: 2.282770299911499
mean time: 1.610357904434204
Pipeline stage StressChecker completed in 9.44s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3148.81s
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chaiml-mistral-nemo-dpo-_5165_v4 status is now inactive due to auto deactivation removed underperforming models