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Running pipeline stage MKMLizer
Starting job with name chaiml-llama3-200m-v2-t-76584-v2-mkmlizer
Waiting for job on chaiml-llama3-200m-v2-t-76584-v2-mkmlizer to finish
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║                                                                     ║
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chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║                                                                     ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║                                                                     ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║                                                                     ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ║                                                                     ║
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: Downloaded to shared memory in 24.171s
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: Checking if ChaiML/llama3-200m-v2-try1-new8m-filterv3-4m-full-512seq-bestep-5725 already exists in ChaiML
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpedimbgv3, device:0
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: quantized model in 19.525s
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: Processed model ChaiML/llama3-200m-v2-try1-new8m-filterv3-4m-full-512seq-bestep-5725 in 43.696s
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama3-200m-v2-t-76584-v2/nvidia
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama3-200m-v2-t-76584-v2/nvidia/config.json
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama3-200m-v2-t-76584-v2/nvidia/tokenizer.json
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama3-200m-v2-t-76584-v2/nvidia/flywheel_model.0.safetensors
chaiml-llama3-200m-v2-t-76584-v2-mkmlizer: 
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Job chaiml-llama3-200m-v2-t-76584-v2-mkmlizer completed after 64.25s with status: succeeded
Stopping job with name chaiml-llama3-200m-v2-t-76584-v2-mkmlizer
Pipeline stage MKMLizer completed in 65.09s
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Creating inference service chaiml-llama3-200m-v2-t-76584-v2
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Inference service chaiml-llama3-200m-v2-t-76584-v2 ready after 201.64216423034668s
Pipeline stage MKMLDeployer completed in 203.05s
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Running pipeline stage StressChecker
Received healthy response to inference request in 5.476990699768066s
Received healthy response to inference request in 7.73564076423645s
Received healthy response to inference request in 3.8071188926696777s
Received healthy response to inference request in 4.968757152557373s
Received healthy response to inference request in 3.9178884029388428s
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mean time: 5.181279182434082
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Received healthy response to inference request in 4.31475567817688s
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mean time: 4.0022961616516115
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chaiml-llama3-200m-v2-t_76584_v2 status is now deployed due to DeploymentManager action
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Creating inference service chaiml-llama3-200m-v2-t-76584-v2-profiler
Waiting for inference service chaiml-llama3-200m-v2-t-76584-v2-profiler to be ready
Inference service chaiml-llama3-200m-v2-t-76584-v2-profiler ready after 203.0488727092743s
Pipeline stage MKMLProfilerDeployer completed in 204.09s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb:/code/chaiverse_profiler_1752089019 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1752089019 && python profiles.py profile --best_of_n 1 --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 1 --summary /code/chaiverse_profiler_1752089019/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb:/code/chaiverse_profiler_1752089442 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1752089442 && python profiles.py profile --best_of_n 1 --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 1 --summary /code/chaiverse_profiler_1752089442/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb:/code/chaiverse_profiler_1752089887 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-llama3-200m-vf33427930223a17abe57a59f63126682-deplomd8bb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1752089887 && python profiles.py profile --best_of_n 1 --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 1 --summary /code/chaiverse_profiler_1752089887/summary.json'
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nUnable to use a TTY - input is not a terminal or the right kind of file\n\n  0%|          | 0/200 [00:00<?, ?it/s]\n  0%|          | 1/200 [00:00<00:50,  3.94it/s]\n  1%|          | 2/200 [00:03<06:55,  2.10s/it]\n  2%|▏         | 3/200 [00:07<09:01,  2.75s/it]\n  2%|▏         | 4/200 [00:07<05:44,  1.76s/it]\n  2%|▎         | 5/200 [00:07<03:56,  1.22s/it]\n  3%|▎         | 6/200 [00:07<02:51,  1.13it/s]\n  4%|▎         | 7/200 [00:11<05:27,  1.70s/it]\n  4%|▍         | 8/200 [00:14<07:10,  2.24s/it]\n  4%|▍         | 9/200 [00:14<05:09,  1.62s/it]\n  5%|▌         | 10/200 [00:15<03:47,  1.20s/it]\n  6%|▌         | 11/200 [00:18<05:55,  1.88s/it]\n  6%|▌         | 12/200 [00:21<07:18,  2.33s/it]\n  6%|▋         | 13/200 [00:22<05:17,  1.70s/it]\n  7%|▋         | 14/200 [00:25<06:53,  2.22s/it]\n  8%|▊         | 15/200 [00:29<07:57,  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[06:49<00:19,  2.72s/it]\n 97%|█████████▋| 194/200 [06:53<00:17,  2.93s/it]\n 98%|█████████▊| 195/200 [06:56<00:15,  3.09s/it]\n 98%|█████████▊| 196/200 [07:00<00:12,  3.18s/it]\n 98%|█████████▊| 197/200 [07:00<00:06,  2.27s/it]\n 99%|█████████▉| 198/200 [07:03<00:05,  2.65s/it]\n100%|█████████▉| 199/200 [07:03<00:01,  1.89s/it]\n100%|██████████| 200/200 [07:04<00:00,  1.40s/it]\n100%|██████████| 200/200 [07:04<00:00,  2.12s/it]\nTraceback (most recent call last):\n  File "/code/chaiverse_profiler_1752089887/profiles.py", line 621, in <module>\n    cli()\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__\n    return self.main(*args, **kwargs)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main\n    rv = self.invoke(ctx)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke\n    return _process_result(sub_ctx.command.invoke(sub_ctx))\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke\n    return ctx.invoke(self.callback, **ctx.params)\n  File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke\n    return __callback(*args, **kwargs)\n  File "/code/chaiverse_profiler_1752089887/profiles.py", line 112, in profile_batches\n    profiles = run_batch_profile_with_auto_batch(target, batches, settings, auto_batch, output)\n  File "/code/chaiverse_profiler_1752089887/profiles.py", line 163, in run_batch_profile_with_auto_batch\n    profiles = run_batch_profile(target, batches, settings, output)\n  File "/code/chaiverse_profiler_1752089887/profiles.py", line 277, in run_batch_profile\n    analysis_data.write_jsonlines([batch_profile.to_dict()], path)\n  File "/code/inference_analysis/data.py", line 64, in write_jsonlines\n    f.write(json.dumps(row) + \'\\n\')\n  File "/opt/conda/lib/python3.10/json/__init__.py", line 231, in dumps\n    return _default_encoder.encode(obj)\n  File "/opt/conda/lib/python3.10/json/encoder.py", line 199, in encode\n    chunks = self.iterencode(o, _one_shot=True)\n  File "/opt/conda/lib/python3.10/json/encoder.py", line 257, in iterencode\n    return _iterencode(o, 0)\n  File "/opt/conda/lib/python3.10/json/encoder.py", line 179, in default\n    raise TypeError(f\'Object of type {o.__class__.__name__} \'\nTypeError: Object of type ResponseStats is not JSON serializable\ncommand terminated with exit code 1\n, output: waiting for startup of endpoint=\'localhost\' route=\'GPT-J-6B-lit-v2\' namespace=\'tenant-chaiml-guanaco\' reward=False url_format=\'{endpoint}.{namespace}.k.chaiverse.com\'\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (1,)"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : could not broadcast input array from shape (2,) into shape (0,)"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\nRequest failed with: (500, \'{"error":"Exception : negative dimensions are not allowed"}\')\n### Batch size: 1 ###\n\ntotal requests 200\nduration (s): 424.2075686454773\nerrors 82\nmean length: 1.77\n\nthroughput (request / second): 0.4714673070040055\nthroughput (character / second): 0.8344971333970899\naverage request duration (s) 2.1209268093109133\n50%ile request duration (s) 3.3789669275283813\n75%ile request duration (s) 3.440158188343048\n90%ile request duration (s) 3.5084945917129517\n95%ile request duration (s) 3.5292382717132567\n\nmean input tokens 2.0\nmean output tokens 1.0\n\n\n')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-llama3-200m-v2-t-76584-v2-profiler is running
Tearing down inference service chaiml-llama3-200m-v2-t-76584-v2-profiler
Service chaiml-llama3-200m-v2-t-76584-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.50s
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 8133.57s
Shutdown handler de-registered
chaiml-llama3-200m-v2-t_76584_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama3-200m-v2-t_76584_v2 status is now torndown due to DeploymentManager action