developer_uid: cloudyu
submission_id: cloudyu-nemo-dpo-v11_v2
model_name: cloudyu-nemo-dpo-v11_v1
model_group: cloudyu/Nemo-DPO-v11
status: inactive
timestamp: 2024-12-03T13:47:58+00:00
num_battles: 17234
num_wins: 8577
celo_rating: 1260.01
family_friendly_score: 0.571
family_friendly_standard_error: 0.006999414261207862
submission_type: basic
model_repo: cloudyu/Nemo-DPO-v11
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6138363046501374, 'latency_mean': 1.6290052092075349, 'latency_p50': 1.6203229427337646, 'latency_p90': 1.8016016721725463}, {'batch_size': 3, 'throughput': 1.122259045502829, 'latency_mean': 2.667121593952179, 'latency_p50': 2.6680963039398193, 'latency_p90': 2.938206362724304}, {'batch_size': 5, 'throughput': 1.34961375327148, 'latency_mean': 3.691288696527481, 'latency_p50': 3.677502989768982, 'latency_p90': 4.128106307983399}, {'batch_size': 6, 'throughput': 1.4190014653562133, 'latency_mean': 4.207305076122284, 'latency_p50': 4.2241352796554565, 'latency_p90': 4.651191234588623}, {'batch_size': 8, 'throughput': 1.4833796029168507, 'latency_mean': 5.354390274286271, 'latency_p50': 5.383673310279846, 'latency_p90': 6.045820498466492}, {'batch_size': 10, 'throughput': 1.5237951578469608, 'latency_mean': 6.494120161533356, 'latency_p50': 6.467539310455322, 'latency_p90': 7.3484608888626095}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cloudyu-nemo-dpo-v11_v1
is_internal_developer: False
language_model: cloudyu/Nemo-DPO-v11
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2024-12-03
win_ratio: 0.49767900661483117
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
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Running pipeline stage MKMLizer
Starting job with name cloudyu-nemo-dpo-v11-v2-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v11-v2-mkmlizer to finish
cloudyu-nemo-dpo-v11-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ _____ __ __ ║
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cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
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cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ belonging to: ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ║ ║
cloudyu-nemo-dpo-v11-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v11-v2-mkmlizer: Downloaded to shared memory in 38.409s
cloudyu-nemo-dpo-v11-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm7akl_02, device:0
cloudyu-nemo-dpo-v11-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cloudyu-nemo-dpo-v11-v2-mkmlizer: quantized model in 36.179s
cloudyu-nemo-dpo-v11-v2-mkmlizer: Processed model cloudyu/Nemo-DPO-v11 in 74.588s
cloudyu-nemo-dpo-v11-v2-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v11-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v11-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2
cloudyu-nemo-dpo-v11-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2/config.json
cloudyu-nemo-dpo-v11-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2/special_tokens_map.json
cloudyu-nemo-dpo-v11-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2/tokenizer_config.json
cloudyu-nemo-dpo-v11-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2/tokenizer.json
cloudyu-nemo-dpo-v11-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v11-v2/flywheel_model.0.safetensors
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Job cloudyu-nemo-dpo-v11-v2-mkmlizer completed after 104.65s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v11-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.18s
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Inference service cloudyu-nemo-dpo-v11-v2 ready after 150.55691647529602s
Pipeline stage MKMLDeployer completed in 151.16s
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Received healthy response to inference request in 1.9435420036315918s
Received healthy response to inference request in 1.6306147575378418s
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5th percentile: 1.6618304252624512
10th percentile: 1.6930460929870605
20th percentile: 1.7554774284362793
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50th percentile: 1.8214175701141357
60th percentile: 1.8702673435211181
70th percentile: 1.9191171169281005
80th percentile: 1.9622804641723632
90th percentile: 1.9997573852539063
95th percentile: 2.0184958457946776
99th percentile: 2.0334866142272947
mean time: 1.8439003467559814
Pipeline stage StressChecker completed in 10.73s
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