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
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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-v1-9-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
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Job jic062-dpo-v1-9-nemo-v1-mkmlizer completed after 112.49s with status: succeeded
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Inference service jic062-dpo-v1-9-nemo-v1 ready after 220.51051568984985s
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Received healthy response to inference request in 2.5829644203186035s
Received healthy response to inference request in 1.8306512832641602s
Received healthy response to inference request in 1.8313117027282715s
Received healthy response to inference request in 1.9344000816345215s
Received healthy response to inference request in 2.298781633377075s
5 requests
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5th percentile: 1.8307833671569824
10th percentile: 1.8309154510498047
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90th percentile: 2.4692913055419923
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mean time: 2.0956218242645264
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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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