developer_uid: rica40325
submission_id: rica40325-9-15-sftdpo_v8
model_name: rica40325-9-15-sftdpo_v1
model_group: rica40325/9-15-sftdpo
status: torndown
timestamp: 2024-09-21T10:09:45+00:00
num_battles: 366205
num_wins: 192738
celo_rating: 1265.99
family_friendly_score: 0.0
submission_type: basic
model_repo: rica40325/9-15-sftdpo
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.9163592869855016, 'latency_mean': 1.091185051202774, 'latency_p50': 1.0827306509017944, 'latency_p90': 1.2282312154769897}, {'batch_size': 4, 'throughput': 1.8287377223921144, 'latency_mean': 2.1780820405483245, 'latency_p50': 2.166540265083313, 'latency_p90': 2.4343494415283202}, {'batch_size': 5, 'throughput': 1.8943301442635156, 'latency_mean': 2.630121718645096, 'latency_p50': 2.6370925903320312, 'latency_p90': 2.91186945438385}, {'batch_size': 8, 'throughput': 2.014998123614956, 'latency_mean': 3.938282861709595, 'latency_p50': 3.946722149848938, 'latency_p90': 4.4760830163955685}, {'batch_size': 10, 'throughput': 2.0293677189946493, 'latency_mean': 4.884959107637405, 'latency_p50': 4.851858973503113, 'latency_p90': 5.690195226669311}, {'batch_size': 12, 'throughput': 2.033108093741409, 'latency_mean': 5.831200689077377, 'latency_p50': 5.806869029998779, 'latency_p90': 6.899230027198791}, {'batch_size': 15, 'throughput': 2.061762176960024, 'latency_mean': 7.125559293031692, 'latency_p50': 7.231380224227905, 'latency_p90': 7.980415320396423}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-9-15-sftdpo_v1
is_internal_developer: False
language_model: rica40325/9-15-sftdpo
model_size: 8B
ranking_group: single
throughput_3p7s: 2.01
us_pacific_date: 2024-09-21
win_ratio: 0.5263117652680875
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}
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
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name rica40325-9-15-sftdpo-v8-mkmlizer
Waiting for job on rica40325-9-15-sftdpo-v8-mkmlizer to finish
rica40325-9-15-sftdpo-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-9-15-sftdpo-v8-mkmlizer: ║ _____ __ __ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ /___/ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ Version: 0.10.1 ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ https://mk1.ai ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ belonging to: ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ Chai Research Corp. ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-9-15-sftdpo-v8-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-9-15-sftdpo-v8-mkmlizer: Downloaded to shared memory in 20.336s
rica40325-9-15-sftdpo-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqv1_jqyp, device:0
rica40325-9-15-sftdpo-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-9-15-sftdpo-v8-mkmlizer: quantized model in 25.326s
rica40325-9-15-sftdpo-v8-mkmlizer: Processed model rica40325/9-15-sftdpo in 45.662s
rica40325-9-15-sftdpo-v8-mkmlizer: creating bucket guanaco-mkml-models
rica40325-9-15-sftdpo-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-9-15-sftdpo-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8
rica40325-9-15-sftdpo-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8/special_tokens_map.json
rica40325-9-15-sftdpo-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8/config.json
rica40325-9-15-sftdpo-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8/tokenizer_config.json
rica40325-9-15-sftdpo-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8/tokenizer.json
rica40325-9-15-sftdpo-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v8/flywheel_model.0.safetensors
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Job rica40325-9-15-sftdpo-v8-mkmlizer completed after 74.81s with status: succeeded
Stopping job with name rica40325-9-15-sftdpo-v8-mkmlizer
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Inference service rica40325-9-15-sftdpo-v8 ready after 191.59439039230347s
Pipeline stage MKMLDeployer completed in 192.13s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.944368600845337s
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mean time: 1.8073604106903076
Pipeline stage StressChecker completed in 15.24s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.84s
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Inference service rica40325-9-15-sftdpo-v8-profiler ready after 190.45086097717285s
Pipeline stage MKMLProfilerDeployer completed in 190.82s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v8-profiler-predictor-00001-deploymep5kmx:/code/chaiverse_profiler_1726913917 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v8-profiler-predictor-00001-deploymep5kmx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726913917 && 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_1726913917/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v8-profiler-predictor-00001-deploymep5kmx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726913917/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.38s
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Checking if service rica40325-9-15-sftdpo-v8-profiler is running
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rica40325-9-15-sftdpo_v8 status is now inactive due to auto deactivation removed underperforming models
rica40325-9-15-sftdpo_v8 status is now torndown due to DeploymentManager action