submission_id: bbchicago-brt-8b-l3-v1-9_2176_v3
developer_uid: Bbbrun0
best_of: 16
celo_rating: 1250.68
display_name: bbchicago-brt-8b-l3-v1-9_2176_v3
family_friendly_score: 0.0
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}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>', '\n\n{user_name}'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: BBChicago/Brt-8B-L3_v1.9_with_dpo_lora_s5900
latencies: [{'batch_size': 1, 'throughput': 0.9023399556893698, 'latency_mean': 1.1081257843971253, 'latency_p50': 1.121473789215088, 'latency_p90': 1.2125359535217284}, {'batch_size': 4, 'throughput': 1.8216440967032852, 'latency_mean': 2.1845349514484407, 'latency_p50': 2.1690679788589478, 'latency_p90': 2.4459200620651247}, {'batch_size': 5, 'throughput': 1.912478160303823, 'latency_mean': 2.600224437713623, 'latency_p50': 2.6263976097106934, 'latency_p90': 2.8902822017669676}, {'batch_size': 8, 'throughput': 2.011627245227434, 'latency_mean': 3.9467742896080016, 'latency_p50': 3.9693976640701294, 'latency_p90': 4.417066192626953}, {'batch_size': 10, 'throughput': 2.047638223918485, 'latency_mean': 4.836660273075104, 'latency_p50': 4.793946623802185, 'latency_p90': 5.677063345909119}, {'batch_size': 12, 'throughput': 2.05315275677152, 'latency_mean': 5.761261956691742, 'latency_p50': 5.740974545478821, 'latency_p90': 6.692778658866882}, {'batch_size': 15, 'throughput': 2.0478578148720774, 'latency_mean': 7.17384488940239, 'latency_p50': 7.252038359642029, 'latency_p90': 7.980904364585877}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: BBChicago/Brt-8B-L3_v1.9
model_name: bbchicago-brt-8b-l3-v1-9_2176_v3
model_num_parameters: 8030261248.0
model_repo: BBChicago/Brt-8B-L3_v1.9_with_dpo_lora_s5900
model_size: 8B
num_battles: 11841
num_wins: 6011
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.01
timestamp: 2024-09-13T02:02:51+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5076429355628748
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer
Waiting for job on bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer to finish
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ _____ __ __ ║
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bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ /___/ ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ Version: 0.10.1 ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ https://mk1.ai ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ ║
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bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ Chai Research Corp. ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ║ ║
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: Downloaded to shared memory in 85.698s
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_gqsvk1p, device:0
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: quantized model in 29.089s
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: Processed model BBChicago/Brt-8B-L3_v1.9_with_dpo_lora_s5900 in 114.788s
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: creating bucket guanaco-mkml-models
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3/config.json
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3/tokenizer_config.json
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3/special_tokens_map.json
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3/tokenizer.json
bbchicago-brt-8b-l3-v1-9-2176-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bbchicago-brt-8b-l3-v1-9-2176-v3/flywheel_model.0.safetensors
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Inference service bbchicago-brt-8b-l3-v1-9-2176-v3 ready after 170.66966152191162s
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Received healthy response to inference request in 2.2651987075805664s
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Received healthy response to inference request in 1.5980913639068604s
Received healthy response to inference request in 1.5768451690673828s
Received healthy response to inference request in 1.4930353164672852s
5 requests
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5th percentile: 1.4090826034545898
10th percentile: 1.4300707817077636
20th percentile: 1.4720471382141114
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50th percentile: 1.5768451690673828
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mean time: 1.6642529964447021
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/bbchicago-brt-8b-l3-c8d2069233dda5387e9ba680ace42312-deplock4mf:/code/chaiverse_profiler_1726193520 --namespace tenant-chaiml-guanaco
kubectl exec -it bbchicago-brt-8b-l3-c8d2069233dda5387e9ba680ace42312-deplock4mf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726193520 && python profiles.py profile --best_of_n 16 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726193520/summary.json'
kubectl exec -it bbchicago-brt-8b-l3-c8d2069233dda5387e9ba680ace42312-deplock4mf --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726193520/summary.json'
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