developer_uid: rirv938
submission_id: rirv938-96p-4ff-rirv938_38486_v1
model_name: rirv938-96p-4ff-rirv938_38486_v1
model_group: rirv938/96p_4ff_rirv938_
status: torndown
timestamp: 2025-04-03T16:59:42+00:00
num_battles: 7582
num_wins: 4326
celo_rating: 1353.56
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: rirv938/96p_4ff_rirv938_20k_100p_0ff_ri_19485_v1_cp2250_v3
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3885934728642077, 'latency_mean': 2.5732857942581178, 'latency_p50': 2.566739082336426, 'latency_p90': 2.865937876701355}, {'batch_size': 3, 'throughput': 0.7891150867284826, 'latency_mean': 3.7880757951736452, 'latency_p50': 3.8028353452682495, 'latency_p90': 4.172553944587707}, {'batch_size': 5, 'throughput': 1.062646954638084, 'latency_mean': 4.69541414141655, 'latency_p50': 4.706522822380066, 'latency_p90': 5.262800192832946}, {'batch_size': 6, 'throughput': 1.1288829311540218, 'latency_mean': 5.280676040649414, 'latency_p50': 5.221379637718201, 'latency_p90': 5.964762282371521}, {'batch_size': 10, 'throughput': 1.3009536535152375, 'latency_mean': 7.607504514455795, 'latency_p50': 7.6471558809280396, 'latency_p90': 8.624907422065736}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: rirv938-96p-4ff-rirv938_38486_v1
is_internal_developer: True
language_model: rirv938/96p_4ff_rirv938_20k_100p_0ff_ri_19485_v1_cp2250_v3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-04-03
win_ratio: 0.5705618570298074
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.6, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['###', 'You:', '</s>', '\n'], 'max_input_tokens': 768, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '[/INST]{bot_name}:', 'truncate_by_message': False}
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 rirv938-96p-4ff-rirv938-38486-v1-mkmlizer
Waiting for job on rirv938-96p-4ff-rirv938-38486-v1-mkmlizer to finish
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ _____ __ __ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ /___/ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ belonging to: ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ║ ║
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-sft-gemma2-28b-v_83370_v5: HTTPConnectionPool(host='chaiml-sft-gemma2-28b-v-83370-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-sft-gemma2-28b-v_83370_v5: HTTPConnectionPool(host='chaiml-sft-gemma2-28b-v-83370-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: Downloaded to shared memory in 189.749s
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_7z2eld0, device:0
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: quantized model in 65.650s
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: Processed model rirv938/96p_4ff_rirv938_20k_100p_0ff_ri_19485_v1_cp2250_v3 in 255.400s
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1/config.json
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1/special_tokens_map.json
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1/tokenizer_config.json
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1/flywheel_model.1.safetensors
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-96p-4ff-rirv938-38486-v1/flywheel_model.0.safetensors
rirv938-96p-4ff-rirv938-38486-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 3/363 [00:00<00:12, 28.08it/s] Loading 0: 2%|▏ | 6/363 [00:00<00:26, 13.71it/s] Loading 0: 3%|▎ | 11/363 [00:00<00:16, 20.99it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:25, 13.45it/s] Loading 0: 4%|▍ | 16/363 [00:01<00:26, 13.19it/s] Loading 0: 6%|▌ | 21/363 [00:01<00:20, 16.78it/s] Loading 0: 6%|▋ | 23/363 [00:01<00:25, 13.29it/s] Loading 0: 8%|▊ | 28/363 [00:01<00:17, 19.08it/s] Loading 0: 9%|▉ | 32/363 [00:01<00:14, 22.53it/s] Loading 0: 10%|▉ | 35/363 [00:02<00:20, 15.68it/s] Loading 0: 10%|█ | 38/363 [00:02<00:20, 16.08it/s] Loading 0: 11%|█▏ | 41/363 [00:02<00:26, 12.21it/s] Loading 0: 13%|█▎ | 46/363 [00:02<00:18, 16.85it/s] Loading 0: 14%|█▍ | 50/363 [00:02<00:15, 19.70it/s] Loading 0: 15%|█▍ | 53/363 [00:03<00:21, 14.36it/s] Loading 0: 15%|█▌ | 56/363 [00:03<00:20, 15.03it/s] Loading 0: 16%|█▌ | 58/363 [00:03<00:22, 13.38it/s] Loading 0: 17%|█▋ | 60/363 [00:03<00:23, 12.71it/s] Loading 0: 18%|█▊ | 64/363 [00:04<00:18, 16.09it/s] Loading 0: 19%|█▊ | 68/363 [00:04<00:15, 19.47it/s] Loading 0: 20%|█▉ | 71/363 [00:04<00:21, 13.85it/s] Loading 0: 20%|██ | 73/363 [00:04<00:22, 13.17it/s] Loading 0: 21%|██ | 75/363 [00:04<00:20, 13.86it/s] Loading 0: 21%|██ | 77/363 [00:05<00:26, 10.95it/s] Loading 0: 23%|██▎ | 82/363 [00:05<00:16, 16.55it/s] Loading 0: 24%|██▎ | 86/363 [00:05<00:14, 19.59it/s] Loading 0: 25%|██▍ | 89/363 [00:05<00:20, 13.27it/s] Loading 0: 25%|██▌ | 91/363 [00:06<00:21, 12.62it/s] Loading 0: 26%|██▌ | 95/363 [00:06<00:16, 16.16it/s] Loading 0: 27%|██▋ | 99/363 [00:06<00:13, 19.25it/s] Loading 0: 28%|██▊ | 102/363 [00:06<00:14, 17.98it/s] Loading 0: 29%|██▉ | 105/363 [00:06<00:18, 13.88it/s] Loading 0: 29%|██▉ | 107/363 [00:07<00:20, 12.63it/s] Loading 0: 30%|███ | 109/363 [00:07<00:20, 12.17it/s] Loading 0: 31%|███ | 111/363 [00:07<00:19, 12.94it/s] Loading 0: 31%|███ | 113/363 [00:07<00:23, 10.50it/s] Loading 0: 33%|███▎ | 118/363 [00:07<00:15, 16.01it/s] Loading 0: 34%|███▎ | 122/363 [00:07<00:12, 19.16it/s] Loading 0: 34%|███▍ | 125/363 [00:08<00:18, 12.96it/s] Loading 0: 35%|███▍ | 127/363 [00:08<00:18, 12.53it/s] Loading 0: 36%|███▌ | 129/363 [00:08<00:17, 13.53it/s] Loading 0: 36%|███▌ | 131/363 [00:08<00:20, 11.28it/s] Loading 0: 38%|███▊ | 137/363 [00:09<00:11, 19.07it/s] Loading 0: 39%|███▉ | 141/363 [00:09<00:12, 18.39it/s] Loading 0: 40%|███▉ | 144/363 [00:09<00:15, 14.03it/s] Loading 0: 40%|████ | 147/363 [00:09<00:13, 15.98it/s] Loading 0: 41%|████▏ | 150/363 [00:10<00:15, 14.00it/s] Loading 0: 42%|████▏ | 154/363 [00:10<00:11, 17.65it/s] Loading 0: 44%|████▎ | 158/363 [00:10<00:09, 21.11it/s] Loading 0: 44%|████▍ | 161/363 [00:10<00:13, 14.85it/s] Loading 0: 45%|████▌ | 164/363 [00:10<00:12, 15.55it/s] Loading 0: 46%|████▌ | 167/363 [00:11<00:16, 12.10it/s] Loading 0: 47%|████▋ | 172/363 [00:11<00:11, 16.96it/s] Loading 0: 48%|████▊ | 176/363 [00:11<00:09, 19.91it/s] Loading 0: 49%|████▉ | 179/363 [00:11<00:12, 14.44it/s] Loading 0: 50%|█████ | 182/363 [00:11<00:12, 15.01it/s] Loading 0: 51%|█████ | 184/363 [00:12<00:13, 13.37it/s] Loading 0: 51%|█████ | 186/363 [00:12<00:13, 12.76it/s] Loading 0: 52%|█████▏ | 190/363 [00:12<00:10, 16.77it/s] Loading 0: 53%|█████▎ | 194/363 [00:12<00:08, 20.25it/s] Loading 0: 54%|█████▍ | 197/363 [00:12<00:11, 14.13it/s] Loading 0: 55%|█████▍ | 199/363 [00:13<00:12, 13.37it/s] Loading 0: 55%|█████▌ | 201/363 [00:28<04:45, 1.76s/it] Loading 0: 56%|█████▌ | 203/363 [00:28<03:38, 1.37s/it] Loading 0: 57%|█████▋ | 207/363 [00:28<02:06, 1.23it/s] Loading 0: 58%|█████▊ | 210/363 [00:28<01:28, 1.74it/s] Loading 0: 59%|█████▊ | 213/363 [00:28<01:04, 2.33it/s] Loading 0: 59%|█████▉ | 215/363 [00:29<00:52, 2.82it/s] Loading 0: 60%|█████▉ | 217/363 [00:29<00:42, 3.42it/s] Loading 0: 60%|██████ | 219/363 [00:29<00:33, 4.28it/s] Loading 0: 61%|██████ | 221/363 [00:29<00:30, 4.69it/s] Loading 0: 62%|██████▏ | 226/363 [00:29<00:16, 8.27it/s] Loading 0: 63%|██████▎ | 230/363 [00:29<00:11, 11.25it/s] Loading 0: 64%|██████▍ | 233/363 [00:30<00:13, 9.56it/s] Loading 0: 65%|██████▍ | 235/363 [00:30<00:13, 9.58it/s] Loading 0: 65%|██████▌ | 237/363 [00:30<00:11, 10.60it/s] Loading 0: 66%|██████▌ | 239/363 [00:31<00:13, 9.32it/s] Loading 0: 67%|██████▋ | 244/363 [00:31<00:08, 14.60it/s] Loading 0: 68%|██████▊ | 248/363 [00:31<00:06, 18.19it/s] Loading 0: 69%|██████▉ | 251/363 [00:31<00:08, 13.07it/s] Loading 0: 70%|██████▉ | 253/363 [00:31<00:08, 12.60it/s] Loading 0: 70%|███████ | 255/363 [00:31<00:08, 13.43it/s] Loading 0: 71%|███████ | 257/363 [00:32<00:09, 10.98it/s] Loading 0: 72%|███████▏ | 262/363 [00:32<00:06, 16.70it/s] Loading 0: 73%|███████▎ | 266/363 [00:32<00:04, 20.07it/s] Loading 0: 74%|███████▍ | 269/363 [00:32<00:06, 13.89it/s] Loading 0: 75%|███████▍ | 271/363 [00:33<00:07, 13.12it/s] Loading 0: 75%|███████▌ | 273/363 [00:33<00:06, 13.87it/s] Loading 0: 76%|███████▌ | 275/363 [00:33<00:07, 11.28it/s] Loading 0: 77%|███████▋ | 280/363 [00:33<00:04, 16.66it/s] Loading 0: 78%|███████▊ | 284/363 [00:33<00:03, 19.89it/s] Loading 0: 79%|███████▉ | 287/363 [00:34<00:05, 14.24it/s] Loading 0: 80%|███████▉ | 289/363 [00:34<00:05, 13.65it/s] Loading 0: 80%|████████ | 291/363 [00:34<00:04, 14.50it/s] Loading 0: 81%|████████ | 293/363 [00:34<00:05, 11.86it/s] Loading 0: 82%|████████▏ | 298/363 [00:34<00:03, 17.82it/s] Loading 0: 83%|████████▎ | 302/363 [00:34<00:02, 21.37it/s] Loading 0: 84%|████████▍ | 305/363 [00:35<00:03, 15.39it/s] Loading 0: 85%|████████▍ | 308/363 [00:35<00:03, 15.82it/s] Loading 0: 85%|████████▌ | 310/363 [00:35<00:03, 13.85it/s] Loading 0: 86%|████████▌ | 312/363 [00:35<00:03, 13.13it/s] Loading 0: 87%|████████▋ | 316/363 [00:35<00:02, 16.98it/s] Loading 0: 88%|████████▊ | 320/363 [00:36<00:02, 20.27it/s] Loading 0: 89%|████████▉ | 323/363 [00:36<00:02, 13.96it/s] Loading 0: 90%|████████▉ | 325/363 [00:36<00:02, 13.27it/s] Loading 0: 90%|█████████ | 327/363 [00:36<00:02, 13.89it/s] Loading 0: 91%|█████████ | 329/363 [00:36<00:03, 11.32it/s] Loading 0: 92%|█████████▏| 334/363 [00:37<00:01, 16.96it/s] Loading 0: 93%|█████████▎| 338/363 [00:37<00:01, 20.07it/s] Loading 0: 94%|█████████▍| 341/363 [00:37<00:01, 14.25it/s] Loading 0: 94%|█████████▍| 343/363 [00:37<00:01, 13.66it/s] Loading 0: 95%|█████████▌| 345/363 [00:37<00:01, 14.55it/s] Loading 0: 96%|█████████▌| 347/363 [00:38<00:01, 11.77it/s] Loading 0: 97%|█████████▋| 352/363 [00:38<00:00, 18.22it/s] Loading 0: 98%|█████████▊| 357/363 [00:45<00:03, 1.67it/s] Loading 0: 99%|█████████▉| 360/363 [00:45<00:01, 2.17it/s] Loading 0: 100%|█████████▉| 362/363 [00:45<00:00, 2.57it/s]
Job rirv938-96p-4ff-rirv938-38486-v1-mkmlizer completed after 288.81s with status: succeeded
Stopping job with name rirv938-96p-4ff-rirv938-38486-v1-mkmlizer
Pipeline stage MKMLizer completed in 289.25s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rirv938-96p-4ff-rirv938-38486-v1
Waiting for inference service rirv938-96p-4ff-rirv938-38486-v1 to be ready
Failed to get response for submission chaiml-sft-gemma2-28b-v_83370_v5: HTTPConnectionPool(host='chaiml-sft-gemma2-28b-v-83370-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-sft-gemma2-28b-v_83370_v5: HTTPConnectionPool(host='chaiml-sft-gemma2-28b-v-83370-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service rirv938-96p-4ff-rirv938-38486-v1 ready after 200.65529131889343s
Pipeline stage MKMLDeployer completed in 201.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9995968341827393s
Received healthy response to inference request in 2.474003553390503s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Unable to obtain autoscaler alexdaoud-trainer-bajem_28556_v2 due to error: Failed to establish a connection: HTTPSConnectionPool(host='guanaco-autoscalers.firebaseio.com', port=443): Max retries exceeded with url: /autoscalers/alexdaoud-trainer-bajem_28556_v2/actions.json (Caused by ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))). Falling back to minimal defaults: logs=None autoscaler_id='fallback' status='deployed' metric=<function null_metric at 0x7357bac5e200> observations=[] max_observations_length=1000 target=0.0 actions=[SubmissionAutoscalerParameterAction(generation_parameter='max_input_tokens', current_scale=128, min_scale=512, max_scale=2048)] scale_up_policy=SubmissionAutoscalerPolicy(max_percent_change=0.25, period=0.1, stabilisation_window=0, tolerance=0.1) scale_down_policy=SubmissionAutoscalerPolicy(max_percent_change=0.25, period=0.1, stabilisation_window=0, tolerance=0.1) panic_policy=SubmissionAutoscalerPanicPolicy(max_percent_change=1.0, period=0.1, stabilisation_window=0, tolerance=-1e-06, z_score=3, num_observations=5, num_historical_observations=100)
Received healthy response to inference request in 2.7606022357940674s
Received healthy response to inference request in 2.6420180797576904s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Received healthy response to inference request in 2.516387939453125s
5 requests
0 failed requests
5th percentile: 2.4824804306030273
10th percentile: 2.4909573078155516
20th percentile: 2.5079110622406007
30th percentile: 2.541513967514038
40th percentile: 2.591766023635864
50th percentile: 2.6420180797576904
60th percentile: 2.689451742172241
70th percentile: 2.736885404586792
80th percentile: 2.8084011554718016
90th percentile: 2.9039989948272704
95th percentile: 2.951797914505005
99th percentile: 2.9900370502471922
mean time: 2.678521728515625
Pipeline stage StressChecker completed in 15.48s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.97s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.92s
Shutdown handler de-registered
rirv938-96p-4ff-rirv938_38486_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
rirv938-96p-4ff-rirv938_38486_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-96p-4ff-rirv938_38486_v1 status is now torndown due to DeploymentManager action