developer_uid: rirv938
submission_id: chaiml-llama-8b-multih_78780_v34
model_name: chaiml-llama-8b-multih_78780_v34
model_group: ChaiML/llama_8b_multihea
status: torndown
timestamp: 2025-02-14T20:12:04+00:00
num_battles: 6236
num_wins: 3239
celo_rating: 1289.68
family_friendly_score: 0.5596
family_friendly_standard_error: 0.0070206529610856
submission_type: basic
model_repo: ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208
model_architecture: MultiHeadLlamaClassifier
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 2048
max_output_tokens: 1
display_name: chaiml-llama-8b-multih_78780_v34
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208
model_size: 8B
ranking_group: single
us_pacific_date: 2025-02-14
win_ratio: 0.5194034637588197
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': 2048, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', '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 chaiml-llama-8b-multih-78780-v34-mkmlizer
Waiting for job on chaiml-llama-8b-multih-78780-v34-mkmlizer to finish
chaiml-llama-8b-multih-78780-v34-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║     _____            __           __                                ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║       /___/                                                         ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  belonging to:                                                      ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ║                                                                     ║
chaiml-llama-8b-multih-78780-v34-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-llama-8b-multih-78780-v34-mkmlizer: Downloaded to shared memory in 28.740s
chaiml-llama-8b-multih-78780-v34-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplpdsto8g, device:0
chaiml-llama-8b-multih-78780-v34-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-llama-8b-multih-78780-v34-mkmlizer: quantized model in 15.693s
chaiml-llama-8b-multih-78780-v34-mkmlizer: Processed model ChaiML/llama_8b_multihead_204m_512_v3_tokens_step_398208 in 44.433s
chaiml-llama-8b-multih-78780-v34-mkmlizer: creating bucket guanaco-mkml-models
chaiml-llama-8b-multih-78780-v34-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-llama-8b-multih-78780-v34-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34
chaiml-llama-8b-multih-78780-v34-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34/config.json
chaiml-llama-8b-multih-78780-v34-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34/special_tokens_map.json
chaiml-llama-8b-multih-78780-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34/tokenizer_config.json
chaiml-llama-8b-multih-78780-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34/tokenizer.json
chaiml-llama-8b-multih-78780-v34-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34/flywheel_model.0.safetensors
chaiml-llama-8b-multih-78780-v34-mkmlizer: 
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Job chaiml-llama-8b-multih-78780-v34-mkmlizer completed after 75.85s with status: succeeded
Stopping job with name chaiml-llama-8b-multih-78780-v34-mkmlizer
Pipeline stage MKMLizer completed in 76.87s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-llama-8b-multih-78780-v34
Waiting for inference service chaiml-llama-8b-multih-78780-v34 to be ready
Inference service chaiml-llama-8b-multih-78780-v34 ready after 202.19118428230286s
Pipeline stage MKMLDeployer completed in 203.06s
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Running pipeline stage StressChecker
Received healthy response to inference request in 6.778050661087036s
Received healthy response to inference request in 3.5020697116851807s
Received healthy response to inference request in 5.239066123962402s
Received healthy response to inference request in 3.5341405868530273s
Received healthy response to inference request in 4.343226671218872s
5 requests
0 failed requests
5th percentile: 3.50848388671875
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50th percentile: 4.343226671218872
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80th percentile: 5.546863031387329
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95th percentile: 6.470253753662109
99th percentile: 6.71649127960205
mean time: 4.679310750961304
Pipeline stage StressChecker completed in 25.55s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.13s
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Tearing down inference service chaiml-llama-8b-multih-78780-v34-profiler
clean up pipeline due to error=DeploymentError('Timeout to start the InferenceService chaiml-llama-8b-multih-78780-v34-profiler.                                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{\'name\': \'TOP_K\', \'value\': \'40\'}, {\'name\': \'STOPPING_WORDS\', \'value\': \'["\\\\\\\\n"]\'}, {\'name\': \'MAX_TOKENS\', \'value\': \'1\'}, {\'name\': \'MAX_BATCH_SIZE\', \'value\': \'128\'}, {\'name\': \'URL_ROUTE\', \'value\': \'GPT-J-6B-lit-v2\'}, {\'name\': \'OBJ_ACCESS_KEY_ID\', \'value\': \'LETMTTRMLFFAMTBK\'}, {\'name\': \'OBJ_SECRET_ACCESS_KEY\', \'value\': \'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\'}, {\'name\': \'OBJ_ENDPOINT\', \'value\': \'https://accel-object.ord1.coreweave.com\'}, {\'name\': \'TENSORIZER_URI\', \'value\': \'s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34\'}, {\'name\': \'RESERVE_MEMORY\', \'value\': \'2048\'}, {\'name\': \'DOWNLOAD_TO_LOCAL\', \'value\': \'/dev/shm/model_cache\'}, {\'name\': \'NUM_GPUS\', \'value\': \'1\'}, {\'name\': \'MK1_MKML_LICENSE_KEY\', \'valueFrom\': {\'secretKeyRef\': {\'key\': \'key\', \'name\': \'mkml-license-key\'}}}], \'image\': \'gcr.io/chai-959f8/chai-guanaco/mkml:mkml_v0.11.12_dg\', \'imagePullPolicy\': \'IfNotPresent\', \'name\': \'kserve-container\', \'readinessProbe\': {\'exec\': {\'command\': [\'cat\', \'/tmp/ready\']}, \'failureThreshold\': 1, \'initialDelaySeconds\': 10, \'periodSeconds\': 10, \'successThreshold\': 1, \'timeoutSeconds\': 5}, \'resources\': {\'limits\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}, \'requests\': {\'cpu\': \'2\', \'memory\': \'12Gi\', \'nvidia.com/gpu\': \'1\'}}, \'volumeMounts\': [{\'mountPath\': \'/dev/shm\', \'name\': \'shared-memory-cache\'}]}], \'imagePullSecrets\': [{\'name\': \'docker-creds\'}], \'maxReplicas\': 1, \'minReplicas\': 1, \'timeout\': 60, \'volumes\': [{\'emptyDir\': {\'medium\': \'Memory\'}, \'name\': \'shared-memory-cache\'}]}}, \'status\': {\'components\': {\'predictor\': {\'latestCreatedRevision\': \'chaiml-llama-8b-multih-78780-v34-profiler-predictor-00001\'}}, \'conditions\': [{\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'reason\': \'PredictorConfigurationReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'LatestDeploymentReady\'}, {\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'message\': \'Revision "chaiml-llama-8b-multih-78780-v34-profiler-predictor-00001" failed with message: Container failed with: uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n.\', \'reason\': \'RevisionFailed\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorConfigurationReady\'}, {\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v34-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'PredictorReady\'}, {\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v34-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'PredictorRouteReady\'}, {\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'message\': \'Configuration "chaiml-llama-8b-multih-78780-v34-profiler-predictor" does not have any ready Revision.\', \'reason\': \'RevisionMissing\', \'status\': \'False\', \'type\': \'Ready\'}, {\'lastTransitionTime\': \'2025-02-14T21:40:30Z\', \'reason\': \'PredictorRouteReady not ready\', \'severity\': \'Info\', \'status\': \'False\', \'type\': \'RoutesReady\'}], \'modelStatus\': {\'lastFailureInfo\': {\'exitCode\': 1, \'message\': \'uantization_profile=s0, all_reduce_profile=None, kv_cache_profile=None, calibration_samples=-1, sampling=SamplingParameters(temperature=1.0, top_p=1.0, min_p=0.0, top_k=40, max_input_tokens=2048, max_tokens=1, stop=[\\\'\\\\n\\\'], eos_token_ids=[], frequency_penalty=0.0, presence_penalty=0.0, reward_enabled=True, num_samples=1, reward_max_token_input=256, drop_incomplete_sentences=True, profile=False), url_route=GPT-J-6B-lit-v2, tensorizer_uri=s3://guanaco-mkml-models/chaiml-llama-8b-multih-78780-v34, s3_creds=S3Credentials(s3_access_key_id=\\\'LETMTTRMLFFAMTBK\\\', s3_secret_access_key=\\\'VwwZaqefOOoaouNxUk03oUmK9pVEfruJhjBHPGdgycK\\\', s3_endpoint=\\\'https://accel-object.ord1.coreweave.com\\\', s3_uncached_endpoint=\\\'https://object.ord1.coreweave.com\\\'), local_folder=/dev/shm/model_cache)\\n[INFO] Initialized device rank 0\\nTraceback (most recent call last):\\n  File "/code/mkml_inference_service/main.py", line 95, in <module>\\n    model.load()\\n  File "/code/mkml_inference_service/main.py", line 31, in load\\n    self.engine = mkml_backend.AsyncInferenceService.from_folder(settings, settings.local_folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 49, in from_folder\\n    return service._from_folder(settings, folder)\\n  File "/code/mkml_inference_service/mkml_backend.py", line 71, in _from_folder\\n    engine = mkml.ModelForInference.from_pretrained(\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/inference.py", line 66, in from_pretrained\\n    manifold = TensorManifold(model_path, tensor_parallel_size, batching_config, profile, s3_config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 152, in __init__\\n    self.model_actor.load(model_path, profile)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/manifold.py", line 63, in load\\n    Factory = get_model_factory(self.config)\\n  File "/opt/conda/lib/python3.10/site-packages/mk1/flywheel/instrument.py", line 65, in get_model_factory\\n    raise NotImplementedError(config.architectures)\\nNotImplementedError: [\\\'MultiHeadLlamaClassifier\\\']\\n\', \'reason\': \'ModelLoadFailed\'}, \'states\': {\'activeModelState\': \'\', \'targetModelState\': \'FailedToLoad\'}, \'transitionStatus\': \'BlockedByFailedLoad\'}, \'observedGeneration\': 1}}')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
Shutdown handler de-registered
chaiml-llama-8b-multih_78780_v34 status is now inactive due to auto deactivation removed underperforming models
chaiml-llama-8b-multih_78780_v34 status is now torndown due to DeploymentManager action
chaiml-llama-8b-multih_78780_v34 status is now torndown due to DeploymentManager action
chaiml-llama-8b-multih_78780_v34 status is now torndown due to DeploymentManager action
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