jic062-dpo-v1-9-nemo

submission_id: jic062-dpo-v1-9-nemo_v1
developer_uid: chace9580
best_of: 8
celo_rating: 1263.99
display_name: jic062-dpo-v1-9-nemo_v1
family_friendly_score: 0.6003301540719002
family_friendly_standard_error: 0.009356511115974837
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', '[/INST]'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: jic062/dpo-v1.9-Nemo
latencies: [{'batch_size': 1, 'throughput': 0.6170034484609507, 'latency_mean': 1.6206659984588623, 'latency_p50': 1.6182633638381958, 'latency_p90': 1.7910508871078492}, {'batch_size': 3, 'throughput': 1.0812753799413364, 'latency_mean': 2.7689194428920745, 'latency_p50': 2.7770347595214844, 'latency_p90': 3.0626391172409058}, {'batch_size': 5, 'throughput': 1.2360210613626967, 'latency_mean': 4.026557668447494, 'latency_p50': 4.014647722244263, 'latency_p90': 4.56588020324707}, {'batch_size': 6, 'throughput': 1.2491061508636199, 'latency_mean': 4.786433737277985, 'latency_p50': 4.789708852767944, 'latency_p90': 5.307989239692688}, {'batch_size': 8, 'throughput': 1.2252685677877033, 'latency_mean': 6.4936942923069, 'latency_p50': 6.477053165435791, 'latency_p90': 7.382777261734009}, {'batch_size': 10, 'throughput': 1.1840419510041604, 'latency_mean': 8.388747572898865, 'latency_p50': 8.444079041481018, 'latency_p90': 9.552412986755371}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.9-Nemo
model_name: jic062-dpo-v1-9-nemo_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.9-Nemo
model_size: 13B
num_battles: 2850
num_wins: 1476
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-26T16:39:19+00:00
us_pacific_date: 2024-09-26
win_ratio: 0.5178947368421053
Download Preference Data
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name jic062-dpo-v1-9-nemo-v1-mkmlizer
Waiting for job on jic062-dpo-v1-9-nemo-v1-mkmlizer to finish
jic062-dpo-v1-9-nemo-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-9-nemo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-9-nemo-v1-mkmlizer: Downloaded to shared memory in 52.419s
jic062-dpo-v1-9-nemo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpga5zv_lh, device:0
jic062-dpo-v1-9-nemo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-9-nemo-v1-mkmlizer: quantized model in 35.556s
jic062-dpo-v1-9-nemo-v1-mkmlizer: Processed model jic062/dpo-v1.9-Nemo in 87.975s
jic062-dpo-v1-9-nemo-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-9-nemo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-9-nemo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1
jic062-dpo-v1-9-nemo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1/config.json
jic062-dpo-v1-9-nemo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1/special_tokens_map.json
jic062-dpo-v1-9-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1/tokenizer_config.json
jic062-dpo-v1-9-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1/tokenizer.json
jic062-dpo-v1-9-nemo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v1/flywheel_model.0.safetensors
jic062-dpo-v1-9-nemo-v1-mkmlizer: 
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Job jic062-dpo-v1-9-nemo-v1-mkmlizer completed after 112.49s with status: succeeded
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Received healthy response to inference request in 1.9344000816345215s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-9-nemo-v1-profiler-predictor-00001-deploymen2jcwt:/code/chaiverse_profiler_1727369369 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-9-nemo-v1-profiler-predictor-00001-deploymen2jcwt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727369369 && 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_1727369369/summary.json'
kubectl exec -it jic062-dpo-v1-9-nemo-v1-profiler-predictor-00001-deploymen2jcwt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727369369/summary.json'
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