submission_id: jic062-dpo-v1-6-nemo_v1
developer_uid: chace9580
best_of: 8
celo_rating: 1253.2
display_name: jic062-dpo-v1-6-nemo_v1
family_friendly_score: 0.0
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': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '/s', '[/INST]'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: jic062/dpo-v1.6-Nemo
latencies: [{'batch_size': 1, 'throughput': 0.6203834081916346, 'latency_mean': 1.611844948530197, 'latency_p50': 1.6066184043884277, 'latency_p90': 1.7817476749420167}, {'batch_size': 3, 'throughput': 1.0929741411432543, 'latency_mean': 2.736880428791046, 'latency_p50': 2.7292484045028687, 'latency_p90': 2.989917540550232}, {'batch_size': 5, 'throughput': 1.2452591988681587, 'latency_mean': 3.999237231016159, 'latency_p50': 3.9864262342453003, 'latency_p90': 4.472228002548218}, {'batch_size': 6, 'throughput': 1.2788207885327445, 'latency_mean': 4.676178019046784, 'latency_p50': 4.670867085456848, 'latency_p90': 5.2569026231765745}, {'batch_size': 8, 'throughput': 1.2683014901958298, 'latency_mean': 6.262004603147506, 'latency_p50': 6.271590828895569, 'latency_p90': 7.220349287986755}, {'batch_size': 10, 'throughput': 1.2271995951061516, 'latency_mean': 8.105116794109344, 'latency_p50': 8.14585566520691, 'latency_p90': 9.128522539138794}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.6-Nemo
model_name: jic062-dpo-v1-6-nemo_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.6-Nemo
model_size: 13B
num_battles: 261753
num_wins: 133175
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.22
timestamp: 2024-09-22T00:22:58+00:00
us_pacific_date: 2024-09-21
win_ratio: 0.5087811792032947
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-v1-6-nemo-v1-mkmlizer
Waiting for job on jic062-dpo-v1-6-nemo-v1-mkmlizer to finish
jic062-dpo-v1-6-nemo-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-6-nemo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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jic062-dpo-v1-6-nemo-v1-mkmlizer: Downloaded to shared memory in 47.838s
jic062-dpo-v1-6-nemo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgfi764jg, device:0
jic062-dpo-v1-6-nemo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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jic062-dpo-v1-6-nemo-v1-mkmlizer: quantized model in 35.478s
jic062-dpo-v1-6-nemo-v1-mkmlizer: Processed model jic062/dpo-v1.6-Nemo in 83.316s
jic062-dpo-v1-6-nemo-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-6-nemo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-6-nemo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1
jic062-dpo-v1-6-nemo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1/config.json
jic062-dpo-v1-6-nemo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1/special_tokens_map.json
jic062-dpo-v1-6-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1/tokenizer_config.json
jic062-dpo-v1-6-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1/tokenizer.json
jic062-dpo-v1-6-nemo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-6-nemo-v1/flywheel_model.0.safetensors
jic062-dpo-v1-6-nemo-v1-mkmlizer: 
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Job jic062-dpo-v1-6-nemo-v1-mkmlizer completed after 102.94s with status: succeeded
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Inference service jic062-dpo-v1-6-nemo-v1 ready after 200.4720003604889s
Pipeline stage MKMLDeployer completed in 200.81s
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Received healthy response to inference request in 2.607429265975952s
Received healthy response to inference request in 1.8262779712677002s
Received healthy response to inference request in 1.775345802307129s
Received healthy response to inference request in 2.157881498336792s
Received healthy response to inference request in 2.2170915603637695s
5 requests
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5th percentile: 1.7855322360992432
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mean time: 2.1168052196502685
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-6-nemo-v1-profiler-predictor-00001-deploymen4d69g:/code/chaiverse_profiler_1726965132 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-6-nemo-v1-profiler-predictor-00001-deploymen4d69g --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726965132 && 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_1726965132/summary.json'
kubectl exec -it jic062-dpo-v1-6-nemo-v1-profiler-predictor-00001-deploymen4d69g --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726965132/summary.json'
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