submission_id: rica40325-9-15-sftdpo_v2
developer_uid: rica40325
best_of: 16
celo_rating: 1266.16
display_name: rica40325-9-15-sftdpo_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': 0.95, 'min_p': 0.1, 'top_k': 80, '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: rica40325/9-15-sftdpo
latencies: [{'batch_size': 1, 'throughput': 0.8653042593415007, 'latency_mean': 1.1555649983882903, 'latency_p50': 1.1157994270324707, 'latency_p90': 1.2902004957199096}, {'batch_size': 4, 'throughput': 1.7683902316237154, 'latency_mean': 2.2476896059513094, 'latency_p50': 2.255428433418274, 'latency_p90': 2.493887448310852}, {'batch_size': 5, 'throughput': 1.8925568784306805, 'latency_mean': 2.631601947546005, 'latency_p50': 2.6561224460601807, 'latency_p90': 2.9376134872436523}, {'batch_size': 8, 'throughput': 1.9965402759929762, 'latency_mean': 3.9685012233257293, 'latency_p50': 3.9647178649902344, 'latency_p90': 4.513909935951233}, {'batch_size': 10, 'throughput': 2.0584561885319883, 'latency_mean': 4.807312725782395, 'latency_p50': 4.714488387107849, 'latency_p90': 5.7069818496704094}, {'batch_size': 12, 'throughput': 2.025916564742008, 'latency_mean': 5.850396609306335, 'latency_p50': 5.84844172000885, 'latency_p90': 6.599934720993042}, {'batch_size': 15, 'throughput': 2.0608334529154924, 'latency_mean': 7.119744460582734, 'latency_p50': 7.238675832748413, 'latency_p90': 7.99203131198883}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/9-15-sftdpo
model_name: rica40325-9-15-sftdpo_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/9-15-sftdpo
model_size: 8B
num_battles: 10818
num_wins: 5606
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-16T16:09:05+00:00
us_pacific_date: 2024-09-16
win_ratio: 0.5182103900905898
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 rica40325-9-15-sftdpo-v2-mkmlizer
Waiting for job on rica40325-9-15-sftdpo-v2-mkmlizer to finish
rica40325-9-15-sftdpo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-9-15-sftdpo-v2-mkmlizer: ║ _____ __ __ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ /___/ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Version: 0.10.1 ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ https://mk1.ai ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ belonging to: ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Chai Research Corp. ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-9-15-sftdpo-v2-mkmlizer: quantized model in 25.774s
rica40325-9-15-sftdpo-v2-mkmlizer: Processed model rica40325/9-15-sftdpo in 48.021s
rica40325-9-15-sftdpo-v2-mkmlizer: creating bucket guanaco-mkml-models
rica40325-9-15-sftdpo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-9-15-sftdpo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/config.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/special_tokens_map.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/tokenizer_config.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/tokenizer.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/flywheel_model.0.safetensors
rica40325-9-15-sftdpo-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 38.96it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:03, 72.23it/s] Loading 0: 11%|█ | 31/291 [00:00<00:02, 88.02it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 83.10it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:02, 82.36it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 82.26it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 78.56it/s] Loading 0: 29%|██▊ | 83/291 [00:02<00:08, 24.32it/s] Loading 0: 31%|███ | 89/291 [00:02<00:07, 26.00it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:06, 31.40it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 45.23it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 53.63it/s] Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 59.61it/s] Loading 0: 49%|████▉ | 142/291 [00:02<00:02, 63.65it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 76.91it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 79.13it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 76.57it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:04, 23.73it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:02, 33.73it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:02, 38.83it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 44.26it/s] Loading 0: 80%|███████▉ | 232/291 [00:04<00:01, 52.48it/s] Loading 0: 83%|████████▎ | 241/291 [00:04<00:00, 58.91it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 62.34it/s] Loading 0: 91%|█████████ | 265/291 [00:05<00:00, 73.28it/s] Loading 0: 94%|█████████▍| 274/291 [00:05<00:00, 75.93it/s] Loading 0: 97%|█████████▋| 283/291 [00:05<00:00, 74.66it/s]
Job rica40325-9-15-sftdpo-v2-mkmlizer completed after 73.51s with status: succeeded
Stopping job with name rica40325-9-15-sftdpo-v2-mkmlizer
Pipeline stage MKMLizer completed in 74.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rica40325-9-15-sftdpo-v2
Waiting for inference service rica40325-9-15-sftdpo-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service rica40325-9-15-sftdpo-v2 ready after 171.0633008480072s
Pipeline stage MKMLDeployer completed in 174.15s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2465243339538574s
Received healthy response to inference request in 6.832941293716431s
Received healthy response to inference request in 1.6993939876556396s
Received healthy response to inference request in 1.7919070720672607s
Received healthy response to inference request in 1.4723854064941406s
5 requests
0 failed requests
5th percentile: 1.5177871227264403
10th percentile: 1.5631888389587403
20th percentile: 1.65399227142334
30th percentile: 1.7178966045379638
40th percentile: 1.7549018383026123
50th percentile: 1.7919070720672607
60th percentile: 1.9737539768218995
70th percentile: 2.155600881576538
80th percentile: 3.163807725906373
90th percentile: 4.998374509811402
95th percentile: 5.9156579017639155
99th percentile: 6.649484615325927
mean time: 2.808630418777466
Pipeline stage StressChecker completed in 20.46s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 7.47s
Shutdown handler de-registered
rica40325-9-15-sftdpo_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rica40325-9-15-sftdpo-v2-profiler
Waiting for inference service rica40325-9-15-sftdpo-v2-profiler to be ready
Inference service rica40325-9-15-sftdpo-v2-profiler ready after 170.47126269340515s
Pipeline stage MKMLProfilerDeployer completed in 170.91s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs:/code/chaiverse_profiler_1726503441 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726503441 && 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_1726503441/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726503441/summary.json'
Pipeline stage MKMLProfilerRunner completed in 859.50s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-9-15-sftdpo-v2-profiler is running
Tearing down inference service rica40325-9-15-sftdpo-v2-profiler
Service rica40325-9-15-sftdpo-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 7.45s
Shutdown handler de-registered
rica40325-9-15-sftdpo_v2 status is now inactive due to auto deactivation removed underperforming models
rica40325-9-15-sftdpo_v2 status is now torndown due to DeploymentManager action