submission_id: jic062-dpo-v1-9-nemo_v2
developer_uid: chace9580
best_of: 8
celo_rating: 1246.38
display_name: jic062-dpo-v1-9-nemo_v2
family_friendly_score: 0.592988929889299
family_friendly_standard_error: 0.009424469058327134
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>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', '/s', '<|im_end|>'], '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': 0.6067466550093729, 'latency_mean': 1.6480584418773652, 'latency_p50': 1.656595230102539, 'latency_p90': 1.8180946111679077}, {'batch_size': 3, 'throughput': 1.0895008255403251, 'latency_mean': 2.7468967831134794, 'latency_p50': 2.7655909061431885, 'latency_p90': 3.0564520597457885}, {'batch_size': 5, 'throughput': 1.2287074899651294, 'latency_mean': 4.049223453998565, 'latency_p50': 4.056667327880859, 'latency_p90': 4.598707747459412}, {'batch_size': 6, 'throughput': 1.2493907743840582, 'latency_mean': 4.774826062917709, 'latency_p50': 4.772201299667358, 'latency_p90': 5.374727582931518}, {'batch_size': 8, 'throughput': 1.2440272759341708, 'latency_mean': 6.391022983789444, 'latency_p50': 6.414855718612671, 'latency_p90': 7.182841730117798}, {'batch_size': 10, 'throughput': 1.1950893689886994, 'latency_mean': 8.315713666677475, 'latency_p50': 8.384033679962158, 'latency_p90': 9.39329752922058}]
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_v2
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.9-Nemo
model_size: 13B
num_battles: 2814
num_wins: 1382
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-26T16:41:41+00:00
us_pacific_date: 2024-09-26
win_ratio: 0.49111584932480457
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name jic062-dpo-v1-9-nemo-v2-mkmlizer
Waiting for job on jic062-dpo-v1-9-nemo-v2-mkmlizer to finish
jic062-dpo-v1-9-nemo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ _____ __ __ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ /___/ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ Version: 0.11.12 ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ https://mk1.ai ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ belonging to: ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ Chai Research Corp. ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ║ ║
jic062-dpo-v1-9-nemo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-9-nemo-v2-mkmlizer: Downloaded to shared memory in 43.766s
jic062-dpo-v1-9-nemo-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2ms9ue7e, device:0
jic062-dpo-v1-9-nemo-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-9-nemo-v2-mkmlizer: quantized model in 36.174s
jic062-dpo-v1-9-nemo-v2-mkmlizer: Processed model jic062/dpo-v1.9-Nemo in 79.941s
jic062-dpo-v1-9-nemo-v2-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-9-nemo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-9-nemo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v2
jic062-dpo-v1-9-nemo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v2/config.json
jic062-dpo-v1-9-nemo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v2/special_tokens_map.json
jic062-dpo-v1-9-nemo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v2/tokenizer.json
jic062-dpo-v1-9-nemo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-9-nemo-v2/flywheel_model.0.safetensors
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Job jic062-dpo-v1-9-nemo-v2-mkmlizer completed after 102.28s with status: succeeded
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Received healthy response to inference request in 2.288256883621216s
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Received healthy response to inference request in 1.4183213710784912s
Received healthy response to inference request in 1.6639888286590576s
Received healthy response to inference request in 1.641969919204712s
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5th percentile: 1.3375281810760498
10th percentile: 1.35772647857666
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mean time: 1.6659733772277832
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-9-nemo-v2-profiler-predictor-00001-deploymenkhdzv:/code/chaiverse_profiler_1727369511 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-9-nemo-v2-profiler-predictor-00001-deploymenkhdzv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727369511 && 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_1727369511/summary.json'
kubectl exec -it jic062-dpo-v1-9-nemo-v2-profiler-predictor-00001-deploymenkhdzv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727369511/summary.json'
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