developer_uid: rinen0721
submission_id: rinen0721-mistral12b-1117_v1
model_name: rinen0721-mistral12b-1117_v1
model_group: rinen0721/Mistral12b-111
status: inactive
timestamp: 2024-11-19T14:29:08+00:00
num_battles: 9846
num_wins: 4603
celo_rating: 1232.3
family_friendly_score: 0.5618000000000001
family_friendly_standard_error: 0.007016847725296595
submission_type: basic
model_repo: rinen0721/Mistral12b-1117
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6279106993300202, 'latency_mean': 1.592490358352661, 'latency_p50': 1.5891696214675903, 'latency_p90': 1.7513392925262452}, {'batch_size': 3, 'throughput': 1.1586528205701008, 'latency_mean': 2.583242371082306, 'latency_p50': 2.578278064727783, 'latency_p90': 2.8125112056732178}, {'batch_size': 5, 'throughput': 1.40982986541472, 'latency_mean': 3.534833163022995, 'latency_p50': 3.545200228691101, 'latency_p90': 3.987066626548767}, {'batch_size': 6, 'throughput': 1.4754067581272237, 'latency_mean': 4.042546565532684, 'latency_p50': 4.075942754745483, 'latency_p90': 4.539682483673095}, {'batch_size': 8, 'throughput': 1.562404597648382, 'latency_mean': 5.081499450206756, 'latency_p50': 5.092275381088257, 'latency_p90': 5.709834480285645}, {'batch_size': 10, 'throughput': 1.6027532678717218, 'latency_mean': 6.186428083181381, 'latency_p50': 6.241159081459045, 'latency_p90': 6.940048575401306}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rinen0721-mistral12b-1117_v1
is_internal_developer: False
language_model: rinen0721/Mistral12b-1117
model_size: 13B
ranking_group: single
throughput_3p7s: 1.44
us_pacific_date: 2024-11-19
win_ratio: 0.4674994921795653
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}
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
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Starting job with name rinen0721-mistral12b-1117-v1-mkmlizer
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rinen0721-mistral12b-1117-v1-mkmlizer: ║     _____            __           __                                ║
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rinen0721-mistral12b-1117-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║       /___/                                                         ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║                                                                     ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║                                                                     ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  belonging to:                                                      ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║                                                                     ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
rinen0721-mistral12b-1117-v1-mkmlizer: ║                                                                     ║
rinen0721-mistral12b-1117-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Retrying (%r) after connection broken by '%r': %s
rinen0721-mistral12b-1117-v1-mkmlizer: Downloaded to shared memory in 48.904s
rinen0721-mistral12b-1117-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe9e0tbxw, device:0
rinen0721-mistral12b-1117-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-mistral12b-1117-v1-mkmlizer: quantized model in 36.549s
rinen0721-mistral12b-1117-v1-mkmlizer: Processed model rinen0721/Mistral12b-1117 in 85.453s
rinen0721-mistral12b-1117-v1-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral12b-1117-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral12b-1117-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1
rinen0721-mistral12b-1117-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1/config.json
rinen0721-mistral12b-1117-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1/special_tokens_map.json
rinen0721-mistral12b-1117-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1/tokenizer_config.json
rinen0721-mistral12b-1117-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1/tokenizer.json
rinen0721-mistral12b-1117-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral12b-1117-v1/flywheel_model.0.safetensors
Job rinen0721-mistral12b-1117-v1-mkmlizer completed after 114.66s with status: succeeded
Stopping job with name rinen0721-mistral12b-1117-v1-mkmlizer
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Inference service rinen0721-mistral12b-1117-v1 ready after 201.21984457969666s
Pipeline stage MKMLDeployer completed in 201.82s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5284130573272705s
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Received healthy response to inference request in 1.7831642627716064s
Received healthy response to inference request in 1.6547467708587646s
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5th percentile: 1.670470380783081
10th percentile: 1.6861939907073975
20th percentile: 1.7176412105560304
30th percentile: 1.7433247089385986
40th percentile: 1.7632444858551026
50th percentile: 1.7831642627716064
60th percentile: 1.8456746578216552
70th percentile: 1.9081850528717041
80th percentile: 2.057234811782837
90th percentile: 2.2928239345550536
95th percentile: 2.410618495941162
99th percentile: 2.5048541450500488
mean time: 1.9278258323669433
Pipeline stage StressChecker completed in 11.81s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.71s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rinen0721-mistral12bdd480618f85a2333e2c138c285189a2a-deplon5g7z:/code/chaiverse_profiler_1732027125 --namespace tenant-chaiml-guanaco
kubectl exec -it rinen0721-mistral12bdd480618f85a2333e2c138c285189a2a-deplon5g7z --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1732027125 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1732027125/summary.json'
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2700.27s
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rinen0721-mistral12b-1117_v1 status is now inactive due to auto deactivation removed underperforming models