developer_uid: cloudyu
submission_id: cloudyu-nemo-dpo-v21_v5
model_name: cloudyu-nemo-dpo-v21_v1
model_group: cloudyu/Nemo-DPO-V21
status: inactive
timestamp: 2024-12-17T14:28:24+00:00
num_battles: 17070
num_wins: 9012
celo_rating: 1280.83
family_friendly_score: 0.5631999999999999
family_friendly_standard_error: 0.007014353284515972
submission_type: basic
model_repo: cloudyu/Nemo-DPO-V21
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6133345943849848, 'latency_mean': 1.6303507781028748, 'latency_p50': 1.6268486976623535, 'latency_p90': 1.8004936695098877}, {'batch_size': 3, 'throughput': 1.1328555688854356, 'latency_mean': 2.6436753606796266, 'latency_p50': 2.6387815475463867, 'latency_p90': 2.9683758497238157}, {'batch_size': 5, 'throughput': 1.351914922018358, 'latency_mean': 3.6757608962059023, 'latency_p50': 3.6966969966888428, 'latency_p90': 4.0660562992095945}, {'batch_size': 6, 'throughput': 1.426406324708791, 'latency_mean': 4.179839550256729, 'latency_p50': 4.168812274932861, 'latency_p90': 4.666097474098206}, {'batch_size': 8, 'throughput': 1.4847918035577465, 'latency_mean': 5.346746019124985, 'latency_p50': 5.375916838645935, 'latency_p90': 5.948694634437561}, {'batch_size': 10, 'throughput': 1.5283239092126397, 'latency_mean': 6.489184091091156, 'latency_p50': 6.474961280822754, 'latency_p90': 7.455558705329895}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cloudyu-nemo-dpo-v21_v1
is_internal_developer: False
language_model: cloudyu/Nemo-DPO-V21
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2024-12-17
win_ratio: 0.5279437609841828
generation_params: {'temperature': 0.99, 'top_p': 0.99, 'min_p': 0.01, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
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 cloudyu-nemo-dpo-v21-v5-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v21-v5-mkmlizer to finish
cloudyu-nemo-dpo-v21-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ _____ __ __ ║
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cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ belonging to: ║
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cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ║ ║
cloudyu-nemo-dpo-v21-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v21-v5-mkmlizer: Downloaded to shared memory in 32.845s
cloudyu-nemo-dpo-v21-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkegjwv3m, device:0
cloudyu-nemo-dpo-v21-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-nemo-dpo-v21-v5-mkmlizer: quantized model in 35.755s
cloudyu-nemo-dpo-v21-v5-mkmlizer: Processed model cloudyu/Nemo-DPO-V21 in 68.600s
cloudyu-nemo-dpo-v21-v5-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v21-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v21-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5
cloudyu-nemo-dpo-v21-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5/config.json
cloudyu-nemo-dpo-v21-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5/special_tokens_map.json
cloudyu-nemo-dpo-v21-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5/tokenizer_config.json
cloudyu-nemo-dpo-v21-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5/tokenizer.json
cloudyu-nemo-dpo-v21-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v21-v5/flywheel_model.0.safetensors
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Job cloudyu-nemo-dpo-v21-v5-mkmlizer completed after 94.57s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v21-v5-mkmlizer
Pipeline stage MKMLizer completed in 95.11s
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Creating inference service cloudyu-nemo-dpo-v21-v5
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Inference service cloudyu-nemo-dpo-v21-v5 ready after 232.47204661369324s
Pipeline stage MKMLDeployer completed in 232.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2987165451049805s
Received healthy response to inference request in 1.6977307796478271s
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Received healthy response to inference request in 2.362745523452759s
Received healthy response to inference request in 2.4058263301849365s
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5th percentile: 1.7504683017730713
10th percentile: 1.8032058238983155
20th percentile: 1.9086808681488037
30th percentile: 2.028878021240234
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70th percentile: 2.349939727783203
80th percentile: 2.3713616847991945
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95th percentile: 2.397210168838501
99th percentile: 2.4041030979156495
mean time: 2.14528751373291
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