submission_id: rica40325-sftdpo-9-15-3_v1
developer_uid: rica40325
best_of: 16
celo_rating: 1266.05
display_name: rica40325-sftdpo-9-15-3_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/sftdpo_9_15_3
latencies: [{'batch_size': 1, 'throughput': 0.908105945168207, 'latency_mean': 1.101121871471405, 'latency_p50': 1.0968759059906006, 'latency_p90': 1.2323567628860475}, {'batch_size': 4, 'throughput': 1.8313453807753781, 'latency_mean': 2.177921313047409, 'latency_p50': 2.1681294441223145, 'latency_p90': 2.4370909929275513}, {'batch_size': 5, 'throughput': 1.9002156414010767, 'latency_mean': 2.6198398649692534, 'latency_p50': 2.622117042541504, 'latency_p90': 2.9446698665618896}, {'batch_size': 8, 'throughput': 2.0476768959827534, 'latency_mean': 3.884431314468384, 'latency_p50': 3.852959632873535, 'latency_p90': 4.366592836380005}, {'batch_size': 10, 'throughput': 2.0454910474238965, 'latency_mean': 4.839563544988632, 'latency_p50': 4.815494418144226, 'latency_p90': 5.4912622451782225}, {'batch_size': 12, 'throughput': 2.065813699145578, 'latency_mean': 5.739604660272598, 'latency_p50': 5.708318471908569, 'latency_p90': 6.628365612030029}, {'batch_size': 15, 'throughput': 2.039665853615126, 'latency_mean': 7.198449156284332, 'latency_p50': 7.289639115333557, 'latency_p90': 8.029516625404359}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/sftdpo_9_15_3
model_name: rica40325-sftdpo-9-15-3_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/sftdpo_9_15_3
model_size: 8B
num_battles: 9691
num_wins: 5301
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.04
timestamp: 2024-09-17T12:11:26+00:00
us_pacific_date: 2024-09-17
win_ratio: 0.547002373336085
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name rica40325-sftdpo-9-15-3-v1-mkmlizer
Waiting for job on rica40325-sftdpo-9-15-3-v1-mkmlizer to finish
rica40325-sftdpo-9-15-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ https://mk1.ai ║
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rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ belonging to: ║
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rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ║ ║
rica40325-sftdpo-9-15-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-sftdpo-9-15-3-v1-mkmlizer: Downloaded to shared memory in 36.842s
rica40325-sftdpo-9-15-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6cgv2uj4, device:0
rica40325-sftdpo-9-15-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-sftdpo-9-15-3-v1-mkmlizer: quantized model in 25.234s
rica40325-sftdpo-9-15-3-v1-mkmlizer: Processed model rica40325/sftdpo_9_15_3 in 62.076s
rica40325-sftdpo-9-15-3-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-sftdpo-9-15-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-sftdpo-9-15-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1
rica40325-sftdpo-9-15-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1/config.json
rica40325-sftdpo-9-15-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1/special_tokens_map.json
rica40325-sftdpo-9-15-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1/tokenizer_config.json
rica40325-sftdpo-9-15-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1/tokenizer.json
rica40325-sftdpo-9-15-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-sftdpo-9-15-3-v1/flywheel_model.0.safetensors
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Job rica40325-sftdpo-9-15-3-v1-mkmlizer completed after 85.25s with status: succeeded
Stopping job with name rica40325-sftdpo-9-15-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.24s
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Inference service rica40325-sftdpo-9-15-3-v1 ready after 172.77092003822327s
Pipeline stage MKMLDeployer completed in 173.36s
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Received healthy response to inference request in 1.8769547939300537s
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Received healthy response to inference request in 1.856130838394165s
Received healthy response to inference request in 1.3419389724731445s
Received healthy response to inference request in 2.352289915084839s
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5th percentile: 1.4447773456573487
10th percentile: 1.5476157188415527
20th percentile: 1.7532924652099608
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40th percentile: 1.8686252117156983
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60th percentile: 1.8919431209564208
70th percentile: 1.9069314479827881
80th percentile: 2.0019984722137454
90th percentile: 2.177144193649292
95th percentile: 2.264717054367065
99th percentile: 2.3347753429412843
mean time: 1.8683480262756347
Pipeline stage StressChecker completed in 11.22s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.33s
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Inference service rica40325-sftdpo-9-15-3-v1-profiler ready after 180.43132853507996s
Pipeline stage MKMLProfilerDeployer completed in 180.81s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-sftdpo-9-15-3-v1-profiler-predictor-00001-deployfl4xc:/code/chaiverse_profiler_1726575592 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-sftdpo-9-15-3-v1-profiler-predictor-00001-deployfl4xc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726575592 && 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_1726575592/summary.json'
kubectl exec -it rica40325-sftdpo-9-15-3-v1-profiler-predictor-00001-deployfl4xc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726575592/summary.json'
Pipeline stage MKMLProfilerRunner completed in 830.67s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-sftdpo-9-15-3-v1-profiler is running
Tearing down inference service rica40325-sftdpo-9-15-3-v1-profiler
Service rica40325-sftdpo-9-15-3-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.95s
Shutdown handler de-registered
rica40325-sftdpo-9-15-3_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-sftdpo-9-15-3_v1 status is now torndown due to DeploymentManager action