submission_id: jic062-dpo-v1-1-nemo_v2
developer_uid: chace9580
alignment_samples: 10939
alignment_score: 0.12463635203278017
best_of: 8
celo_rating: 1243.71
display_name: jic062-dpo-v1-1-nemo_v2
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': 1.0, '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': 0.6957226351184506, 'latency_mean': 1.4372551071643829, 'latency_p50': 1.4278088808059692, 'latency_p90': 1.6067377567291259}, {'batch_size': 3, 'throughput': 1.3327594854314684, 'latency_mean': 2.2491272282600403, 'latency_p50': 2.256813645362854, 'latency_p90': 2.5028048515319825}, {'batch_size': 5, 'throughput': 1.576839605870777, 'latency_mean': 3.1582055735588073, 'latency_p50': 3.1572662591934204, 'latency_p90': 3.566643166542053}, {'batch_size': 6, 'throughput': 1.6248655428241636, 'latency_mean': 3.6706688237190246, 'latency_p50': 3.663160800933838, 'latency_p90': 4.063928246498108}, {'batch_size': 8, 'throughput': 1.6007884987415752, 'latency_mean': 4.961596518754959, 'latency_p50': 5.000230550765991, 'latency_p90': 5.593447828292847}, {'batch_size': 10, 'throughput': 1.5474857159139404, 'latency_mean': 6.420194885730743, 'latency_p50': 6.5284271240234375, 'latency_p90': 7.203416872024536}]
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_v2
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.1-Nemo
model_size: 13B
num_battles: 10938
num_wins: 5659
propriety_score: 0.7016806722689075
propriety_total_count: 952.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-10T04:34:58+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.5173706344852806
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Running pipeline stage MKMLizer
Starting job with name jic062-dpo-v1-1-nemo-v2-mkmlizer
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jic062-dpo-v1-1-nemo-v2-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-1-nemo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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jic062-dpo-v1-1-nemo-v2-mkmlizer: Downloaded to shared memory in 28.375s
jic062-dpo-v1-1-nemo-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptqboug2d, device:0
jic062-dpo-v1-1-nemo-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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jic062-dpo-v1-1-nemo-v2-mkmlizer: quantized model in 36.442s
jic062-dpo-v1-1-nemo-v2-mkmlizer: Processed model jic062/dpo-v1.1-Nemo in 64.817s
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jic062-dpo-v1-1-nemo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-1-nemo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2
jic062-dpo-v1-1-nemo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2/config.json
jic062-dpo-v1-1-nemo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2/special_tokens_map.json
jic062-dpo-v1-1-nemo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2/tokenizer_config.json
jic062-dpo-v1-1-nemo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2/tokenizer.json
jic062-dpo-v1-1-nemo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-1-nemo-v2/flywheel_model.0.safetensors
Job jic062-dpo-v1-1-nemo-v2-mkmlizer completed after 93.39s with status: succeeded
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Inference service jic062-dpo-v1-1-nemo-v2-profiler ready after 160.4239935874939s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-1-nemo-v2-profiler-predictor-00001-deploymeng4pv4:/code/chaiverse_profiler_1725943371 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-1-nemo-v2-profiler-predictor-00001-deploymeng4pv4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725943371 && 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_1725943371/summary.json'
kubectl exec -it jic062-dpo-v1-1-nemo-v2-profiler-predictor-00001-deploymeng4pv4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725943371/summary.json'
Pipeline stage MKMLProfilerRunner completed in 946.42s
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jic062-dpo-v1-1-nemo_v2 status is now inactive due to auto deactivation removed underperforming models