submission_id: jic062-dpo-v1-1-nemo_v1
developer_uid: chace9580
alignment_samples: 10608
alignment_score: 0.312092846233582
best_of: 8
celo_rating: 1243.58
display_name: jic062-dpo-v1-1-nemo_v1
formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: jic062/dpo-v1.1-Nemo
latencies: [{'batch_size': 1, 'throughput': 0.6932580399259243, 'latency_mean': 1.442374062538147, 'latency_p50': 1.4360888004302979, 'latency_p90': 1.6140645742416382}, {'batch_size': 3, 'throughput': 1.316740846900233, 'latency_mean': 2.2746323883533477, 'latency_p50': 2.3003424406051636, 'latency_p90': 2.516007423400879}, {'batch_size': 5, 'throughput': 1.5661280158644961, 'latency_mean': 3.180082701444626, 'latency_p50': 3.1782368421554565, 'latency_p90': 3.5487974882125854}, {'batch_size': 6, 'throughput': 1.6060576102229025, 'latency_mean': 3.716907887458801, 'latency_p50': 3.6666758060455322, 'latency_p90': 4.158643579483032}, {'batch_size': 8, 'throughput': 1.610182544688867, 'latency_mean': 4.946519954204559, 'latency_p50': 4.94711172580719, 'latency_p90': 5.635858702659607}, {'batch_size': 10, 'throughput': 1.5279601866624737, 'latency_mean': 6.4864281344413754, 'latency_p50': 6.439584136009216, 'latency_p90': 7.454421544075012}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.1-Nemo
model_name: jic062-dpo-v1-1-nemo_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.1-Nemo
model_size: 13B
num_battles: 10608
num_wins: 5413
propriety_score: 0.7266881028938906
propriety_total_count: 933.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.61
timestamp: 2024-09-10T04:09:51+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.5102752639517345
Download Preference Data
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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 jic062-dpo-v1-1-nemo-v1-mkmlizer
Waiting for job on jic062-dpo-v1-1-nemo-v1-mkmlizer to finish
jic062-dpo-v1-1-nemo-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ _____ __ __ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ /___/ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ Version: 0.10.1 ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ https://mk1.ai ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ belonging to: ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-1-nemo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-1-nemo-v1-mkmlizer: Downloaded to shared memory in 53.521s
jic062-dpo-v1-1-nemo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqo_wzrcq, device:0
jic062-dpo-v1-1-nemo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-1-nemo-v1-mkmlizer: quantized model in 35.293s
jic062-dpo-v1-1-nemo-v1-mkmlizer: Processed model jic062/dpo-v1.1-Nemo in 88.815s
jic062-dpo-v1-1-nemo-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-1-nemo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-1-nemo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1
jic062-dpo-v1-1-nemo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1/config.json
jic062-dpo-v1-1-nemo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1/special_tokens_map.json
jic062-dpo-v1-1-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1/tokenizer_config.json
jic062-dpo-v1-1-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1/tokenizer.json
jic062-dpo-v1-1-nemo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v1/flywheel_model.0.safetensors
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Job jic062-dpo-v1-1-nemo-v1-mkmlizer completed after 114.15s with status: succeeded
Stopping job with name jic062-dpo-v1-1-nemo-v1-mkmlizer
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Creating inference service jic062-dpo-v1-1-nemo-v1
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Inference service jic062-dpo-v1-1-nemo-v1 ready after 160.59972143173218s
Pipeline stage MKMLDeployer completed in 161.12s
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Received healthy response to inference request in 2.0912251472473145s
Received healthy response to inference request in 1.9181475639343262s
Received healthy response to inference request in 2.0403871536254883s
Received healthy response to inference request in 2.1676225662231445s
Received healthy response to inference request in 2.6576366424560547s
5 requests
0 failed requests
5th percentile: 1.9425954818725586
10th percentile: 1.967043399810791
20th percentile: 2.015939235687256
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mean time: 2.1750038146972654
Pipeline stage StressChecker completed in 11.64s
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Inference service jic062-dpo-v1-1-nemo-v1-profiler ready after 160.37012457847595s
Pipeline stage MKMLProfilerDeployer completed in 160.76s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-1-nemo-v1-profiler-predictor-00001-deploymen62mbv:/code/chaiverse_profiler_1725941885 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-1-nemo-v1-profiler-predictor-00001-deploymen62mbv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725941885 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725941885/summary.json'
kubectl exec -it jic062-dpo-v1-1-nemo-v1-profiler-predictor-00001-deploymen62mbv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725941885/summary.json'
Pipeline stage MKMLProfilerRunner completed in 952.32s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-1-nemo-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 2.06s
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jic062-dpo-v1-1-nemo_v1 status is now inactive due to auto deactivation removed underperforming models