rica40325-feedback-dpo-9

submission_id: rica40325-feedback-dpo-9_v1

developer_uid: rica40325

alignment_samples: 13136

alignment_score: -1.7396851646864215

best_of: 16

celo_rating: 881.05

display_name: rica40325-feedback-dpo-9_v1

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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: rica40325/feedback_dpo_9

latencies: [{'batch_size': 1, 'throughput': 0.8998894177426442, 'latency_mean': 1.1110480165481567, 'latency_p50': 1.1088038682937622, 'latency_p90': 1.2434007406234742}, {'batch_size': 4, 'throughput': 1.7944293582429935, 'latency_mean': 2.224544736146927, 'latency_p50': 2.2166746854782104, 'latency_p90': 2.4831729412078856}, {'batch_size': 5, 'throughput': 1.830484405117379, 'latency_mean': 2.7196512925624847, 'latency_p50': 2.7399768829345703, 'latency_p90': 3.0092746734619142}, {'batch_size': 8, 'throughput': 1.988863527132037, 'latency_mean': 3.98611200094223, 'latency_p50': 4.014537930488586, 'latency_p90': 4.480864691734314}, {'batch_size': 10, 'throughput': 2.034223785577973, 'latency_mean': 4.85961641907692, 'latency_p50': 4.824062705039978, 'latency_p90': 5.556448531150818}, {'batch_size': 12, 'throughput': 1.9976758435659607, 'latency_mean': 5.924905754327774, 'latency_p50': 5.952291131019592, 'latency_p90': 6.7917191743850704}, {'batch_size': 15, 'throughput': 2.0101749800703845, 'latency_mean': 7.325509262084961, 'latency_p50': 7.379525899887085, 'latency_p90': 8.136474180221558}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: rica40325/feedback_dpo_9

model_name: rica40325-feedback-dpo-9_v1

model_num_parameters: 8030261248.0

model_repo: rica40325/feedback_dpo_9

model_size: 8B

num_battles: 13136

num_wins: 1460

propriety_score: 0.6427255985267035

propriety_total_count: 1086.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.98

timestamp: 2024-09-10T12:55:24+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.11114494518879416

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 rica40325-feedback-dpo-9-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-9-v1-mkmlizer to finish
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rica40325-feedback-dpo-9-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-9-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-dpo-9-v1-mkmlizer: Downloaded to shared memory in 66.404s
rica40325-feedback-dpo-9-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7xlo9nfp, device:0
rica40325-feedback-dpo-9-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-9-v1-mkmlizer: quantized model in 29.609s
rica40325-feedback-dpo-9-v1-mkmlizer: Processed model rica40325/feedback_dpo_9 in 96.012s
rica40325-feedback-dpo-9-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-9-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-9-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/config.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/special_tokens_map.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/tokenizer_config.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/tokenizer.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/flywheel_model.0.safetensors
rica40325-feedback-dpo-9-v1-mkmlizer: 
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Job rica40325-feedback-dpo-9-v1-mkmlizer completed after 116.2s with status: succeeded
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Inference service rica40325-feedback-dpo-9-v1 ready after 160.91482710838318s
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Received healthy response to inference request in 3.3647356033325195s
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Received healthy response to inference request in 2.063917875289917s
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Received healthy response to inference request in 1.9993107318878174s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg:/code/chaiverse_profiler_1725973436 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725973436 && 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_1725973436/summary.json'
kubectl exec -it rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725973436/summary.json'
Pipeline stage MKMLProfilerRunner completed in 846.60s
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rica40325-feedback-dpo-9_v1 status is now inactive due to auto deactivation removed underperforming models