submission_id: rica40325-feedback-7000steps_v1
developer_uid: rica40325
best_of: 16
celo_rating: 1247.87
display_name: rica40325-feedback-7000steps_v1
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': 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_7000steps
latencies: [{'batch_size': 1, 'throughput': 0.9144185440877848, 'latency_mean': 1.0934960639476776, 'latency_p50': 1.0970920324325562, 'latency_p90': 1.2310615539550782}, {'batch_size': 4, 'throughput': 1.810782739633487, 'latency_mean': 2.192737656831741, 'latency_p50': 2.1940892934799194, 'latency_p90': 2.4502484798431396}, {'batch_size': 5, 'throughput': 1.8845378592266568, 'latency_mean': 2.636907504796982, 'latency_p50': 2.6401166915893555, 'latency_p90': 2.909585475921631}, {'batch_size': 8, 'throughput': 2.0309053893775464, 'latency_mean': 3.906652754545212, 'latency_p50': 3.949413299560547, 'latency_p90': 4.381656908988953}, {'batch_size': 10, 'throughput': 2.078666692526697, 'latency_mean': 4.757255580425262, 'latency_p50': 4.757577061653137, 'latency_p90': 5.488437795639038}, {'batch_size': 12, 'throughput': 2.0661211485775373, 'latency_mean': 5.73168695807457, 'latency_p50': 5.767443299293518, 'latency_p90': 6.569678497314453}, {'batch_size': 15, 'throughput': 2.0572280843114568, 'latency_mean': 7.14754838347435, 'latency_p50': 7.215520262718201, 'latency_p90': 7.913970041275024}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_7000s
model_name: rica40325-feedback-7000steps_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_7000steps
model_size: 8B
num_battles: 11020
num_wins: 5567
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.03
timestamp: 2024-09-09T11:55:10+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.5051724137931034
Download Preference Data
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 rica40325-feedback-7000steps-v1-mkmlizer
Waiting for job on rica40325-feedback-7000steps-v1-mkmlizer to finish
rica40325-feedback-7000steps-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-7000steps-v1-mkmlizer: ║ _____ __ __ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ /___/ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ belonging to: ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-feedback-7000steps-v1-mkmlizer: ║ ║
rica40325-feedback-7000steps-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-7000steps-v1-mkmlizer: Downloaded to shared memory in 60.863s
rica40325-feedback-7000steps-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl8yulmj4, device:0
rica40325-feedback-7000steps-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-7000steps-v1-mkmlizer: quantized model in 29.194s
rica40325-feedback-7000steps-v1-mkmlizer: Processed model rica40325/feedback_7000steps in 90.057s
rica40325-feedback-7000steps-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-7000steps-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-7000steps-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1
rica40325-feedback-7000steps-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1/special_tokens_map.json
rica40325-feedback-7000steps-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1/config.json
rica40325-feedback-7000steps-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1/tokenizer_config.json
rica40325-feedback-7000steps-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1/tokenizer.json
rica40325-feedback-7000steps-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-7000steps-v1/flywheel_model.0.safetensors
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Job rica40325-feedback-7000steps-v1-mkmlizer completed after 115.92s with status: succeeded
Stopping job with name rica40325-feedback-7000steps-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.43s
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Creating inference service rica40325-feedback-7000steps-v1
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Inference service rica40325-feedback-7000steps-v1 ready after 151.24953818321228s
Pipeline stage MKMLDeployer completed in 151.59s
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Received healthy response to inference request in 2.3970870971679688s
Received healthy response to inference request in 3.3521833419799805s
Received healthy response to inference request in 1.6512925624847412s
Received healthy response to inference request in 1.816476583480835s
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Received healthy response to inference request in 2.541536569595337s
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mean time: 2.3517152309417724
Pipeline stage StressChecker completed in 12.60s
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rica40325-feedback-7000steps_v1 status is now deployed due to DeploymentManager action
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Inference service rica40325-feedback-7000steps-v1-profiler ready after 150.36715698242188s
Pipeline stage MKMLProfilerDeployer completed in 150.76s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-791bf0ec141b57a31ce98fce3583adca1-deplo72qpz:/code/chaiverse_profiler_1725883400 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-791bf0ec141b57a31ce98fce3583adca1-deplo72qpz --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725883400 && 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_1725883400/summary.json'
kubectl exec -it rica40325-feedback-791bf0ec141b57a31ce98fce3583adca1-deplo72qpz --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725883400/summary.json'
Pipeline stage MKMLProfilerRunner completed in 829.28s
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Checking if service rica40325-feedback-7000steps-v1-profiler is running
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Service rica40325-feedback-7000steps-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.71s
Shutdown handler de-registered
rica40325-feedback-7000steps_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-feedback-7000steps_v1 status is now torndown due to DeploymentManager action