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 teknium-airoboros-mistr-79536-v3-mkmlizer
Waiting for job on teknium-airoboros-mistr-79536-v3-mkmlizer to finish
teknium-airoboros-mistr-79536-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ _____ __ __ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ /___/ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ Version: 0.12.8 ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ https://mk1.ai ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ The license key for the current software has been verified as ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ belonging to: ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ Chai Research Corp. ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
teknium-airoboros-mistr-79536-v3-mkmlizer: Downloaded to shared memory in 15.846s
teknium-airoboros-mistr-79536-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0c0e9yws, device:0
teknium-airoboros-mistr-79536-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
teknium-airoboros-mistr-79536-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
teknium-airoboros-mistr-79536-v3-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
teknium-airoboros-mistr-79536-v3-mkmlizer: quantized model in 18.346s
teknium-airoboros-mistr-79536-v3-mkmlizer: Processed model teknium/airoboros-mistral2.2-7b in 34.193s
teknium-airoboros-mistr-79536-v3-mkmlizer: creating bucket guanaco-mkml-models
Failed to get response for submission chaiml-dn-20250217-c-4ep_8638_v1: HTTPConnectionPool(host='chaiml-dn-20250217-c-4ep-8638-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
teknium-airoboros-mistr-79536-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
teknium-airoboros-mistr-79536-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/config.json
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/special_tokens_map.json
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/tokenizer_config.json
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/tokenizer.model
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/tokenizer.json
teknium-airoboros-mistr-79536-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v3/flywheel_model.0.safetensors
teknium-airoboros-mistr-79536-v3-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%|▏ | 4/291 [00:00<00:10, 26.51it/s]
Loading 0: 4%|▍ | 13/291 [00:00<00:06, 44.77it/s]
Loading 0: 6%|▌ | 18/291 [00:00<00:06, 44.44it/s]
Loading 0: 9%|▊ | 25/291 [00:00<00:05, 44.39it/s]
Loading 0: 12%|█▏ | 34/291 [00:00<00:04, 54.75it/s]
Loading 0: 15%|█▍ | 43/291 [00:00<00:04, 61.62it/s]
Loading 0: 18%|█▊ | 52/291 [00:00<00:03, 64.79it/s]
Loading 0: 21%|██ | 61/291 [00:01<00:03, 66.96it/s]
Loading 0: 24%|██▍ | 70/291 [00:01<00:03, 68.74it/s]
Loading 0: 27%|██▋ | 79/291 [00:01<00:03, 69.59it/s]
Loading 0: 30%|███ | 88/291 [00:01<00:02, 67.90it/s]
Loading 0: 33%|███▎ | 97/291 [00:01<00:03, 62.19it/s]
Loading 0: 36%|███▋ | 106/291 [00:01<00:03, 60.81it/s]
Loading 0: 40%|███▉ | 115/291 [00:01<00:03, 58.51it/s]
Loading 0: 43%|████▎ | 124/291 [00:02<00:02, 58.87it/s]
Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 63.44it/s]
Loading 0: 49%|████▉ | 143/291 [00:02<00:02, 71.89it/s]
Loading 0: 52%|█████▏ | 151/291 [00:02<00:01, 73.69it/s]
Loading 0: 55%|█████▍ | 160/291 [00:02<00:01, 70.67it/s]
Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 66.49it/s]
Loading 0: 61%|██████ | 178/291 [00:02<00:01, 64.58it/s]
Loading 0: 64%|██████▍ | 187/291 [00:03<00:01, 64.15it/s]
Loading 0: 67%|██████▋ | 196/291 [00:03<00:01, 66.64it/s]
Loading 0: 70%|███████ | 204/291 [00:04<00:04, 20.25it/s]
Loading 0: 73%|███████▎ | 211/291 [00:04<00:03, 23.54it/s]
Loading 0: 76%|███████▌ | 220/291 [00:04<00:02, 30.00it/s]
Loading 0: 79%|███████▊ | 229/291 [00:04<00:01, 36.64it/s]
Loading 0: 82%|████████▏ | 238/291 [00:04<00:01, 43.37it/s]
Loading 0: 85%|████████▍ | 247/291 [00:04<00:00, 50.08it/s]
Loading 0: 87%|████████▋ | 254/291 [00:05<00:00, 52.69it/s]
Loading 0: 90%|█████████ | 262/291 [00:05<00:00, 58.55it/s]
Loading 0: 93%|█████████▎| 270/291 [00:05<00:00, 61.22it/s]
Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 61.04it/s]
Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 66.09it/s]
Job teknium-airoboros-mistr-79536-v3-mkmlizer completed after 53.04s with status: succeeded
Stopping job with name teknium-airoboros-mistr-79536-v3-mkmlizer
Pipeline stage MKMLizer completed in 53.53s
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 teknium-airoboros-mistr-79536-v3
Waiting for inference service teknium-airoboros-mistr-79536-v3 to be ready
Inference service teknium-airoboros-mistr-79536-v3 ready after 210.68235659599304s
Pipeline stage MKMLDeployer completed in 211.20s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8716254234313965s
Received healthy response to inference request in 1.0697047710418701s
Received healthy response to inference request in 1.232192039489746s
Received healthy response to inference request in 1.0384657382965088s
Received healthy response to inference request in 1.1372284889221191s
5 requests
0 failed requests
5th percentile: 1.044713544845581
10th percentile: 1.0509613513946534
20th percentile: 1.0634569644927978
30th percentile: 1.08320951461792
40th percentile: 1.1102190017700195
50th percentile: 1.1372284889221191
60th percentile: 1.17521390914917
70th percentile: 1.2131993293762207
80th percentile: 1.3600787162780763
90th percentile: 1.6158520698547365
95th percentile: 1.7437387466430663
99th percentile: 1.8460480880737304
mean time: 1.269843292236328
Pipeline stage StressChecker completed in 7.63s
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 0.62s
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 0.65s
Shutdown handler de-registered
teknium-airoboros-mistr_79536_v3 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2688.86s
Shutdown handler de-registered
teknium-airoboros-mistr_79536_v3 status is now inactive due to auto deactivation removed underperforming models
teknium-airoboros-mistr_79536_v3 status is now torndown due to DeploymentManager action
teknium-airoboros-mistr_79536_v3 status is now torndown due to DeploymentManager action
teknium-airoboros-mistr_79536_v3 status is now torndown due to DeploymentManager action