submission_id: khoantap-amazing-hawk-8b_v1
developer_uid: khoangothe
status: torndown
model_repo: khoantap/amazing-hawk-8b
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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': 512, 'best_of': 4, 'max_output_tokens': 64}
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}
reward_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}
timestamp: 2024-05-14T07:31:06+00:00
model_name: khoantap-amazing-hawk-8b_v1
model_eval_status: success
model_group: khoantap/amazing-hawk-8b
num_battles: 17261
num_wins: 8518
celo_rating: 1162.99
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: khoantap-amazing-hawk-8b_v1
ineligible_reason: propriety_total_count < 800
language_model: khoantap/amazing-hawk-8b
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-14
win_ratio: 0.49348241700944323
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khoantap-amazing-hawk-8b-v1-mkmlizer
Waiting for job on khoantap-amazing-hawk-8b-v1-mkmlizer to finish
khoantap-amazing-hawk-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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khoantap-amazing-hawk-8b-v1-mkmlizer: ║ ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ║ Version: 0.8.10 ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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khoantap-amazing-hawk-8b-v1-mkmlizer: ║ Chai Research Corp. ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ║ ║
khoantap-amazing-hawk-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khoantap-amazing-hawk-8b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
khoantap-amazing-hawk-8b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
khoantap-amazing-hawk-8b-v1-mkmlizer: Downloaded to shared memory in 28.400s
khoantap-amazing-hawk-8b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
khoantap-amazing-hawk-8b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
khoantap-amazing-hawk-8b-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:01, 107.81it/s] Loading 0: 82%|████████▏ | 238/291 [00:02<00:00, 119.96it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 30.71it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
khoantap-amazing-hawk-8b-v1-mkmlizer: quantized model in 17.847s
khoantap-amazing-hawk-8b-v1-mkmlizer: Processed model khoantap/amazing-hawk-8b in 47.300s
khoantap-amazing-hawk-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
khoantap-amazing-hawk-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khoantap-amazing-hawk-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1/tokenizer_config.json
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1/config.json
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1/special_tokens_map.json
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1/tokenizer.json
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/khoantap-amazing-hawk-8b-v1/flywheel_model.0.safetensors
khoantap-amazing-hawk-8b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
khoantap-amazing-hawk-8b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khoantap-amazing-hawk-8b-v1-mkmlizer: warnings.warn(
khoantap-amazing-hawk-8b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khoantap-amazing-hawk-8b-v1-mkmlizer: warnings.warn(
khoantap-amazing-hawk-8b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khoantap-amazing-hawk-8b-v1-mkmlizer: warnings.warn(
khoantap-amazing-hawk-8b-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
khoantap-amazing-hawk-8b-v1-mkmlizer: return self.fget.__get__(instance, owner)()
khoantap-amazing-hawk-8b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khoantap-amazing-hawk-8b-v1-mkmlizer: Saving duration: 0.237s
khoantap-amazing-hawk-8b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.626s
khoantap-amazing-hawk-8b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khoantap-amazing-hawk-8b-v1_reward/reward.tensors
Job khoantap-amazing-hawk-8b-v1-mkmlizer completed after 74.02s with status: succeeded
Stopping job with name khoantap-amazing-hawk-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service khoantap-amazing-hawk-8b-v1
Waiting for inference service khoantap-amazing-hawk-8b-v1 to be ready
Inference service khoantap-amazing-hawk-8b-v1 ready after 40.28745651245117s
Pipeline stage ISVCDeployer completed in 48.09s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.012071132659912s
Received healthy response to inference request in 1.142230749130249s
Received healthy response to inference request in 1.1236143112182617s
Received healthy response to inference request in 1.1442842483520508s
Received healthy response to inference request in 1.1232149600982666s
5 requests
0 failed requests
5th percentile: 1.1232948303222656
10th percentile: 1.1233747005462646
20th percentile: 1.1235344409942627
30th percentile: 1.127337598800659
40th percentile: 1.134784173965454
50th percentile: 1.142230749130249
60th percentile: 1.1430521488189698
70th percentile: 1.1438735485076905
80th percentile: 1.3178416252136231
90th percentile: 1.6649563789367676
95th percentile: 1.8385137557983398
99th percentile: 1.9773596572875975
mean time: 1.3090830802917481
Pipeline stage StressChecker completed in 7.11s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.02s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.06s
khoantap-amazing-hawk-8b_v1 status is now deployed due to DeploymentManager action
khoantap-amazing-hawk-8b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khoantap-amazing-hawk-8b_v1
Running pipeline stage ISVCDeleter
Checking if service khoantap-amazing-hawk-8b-v1 is running
Tearing down inference service khoantap-amazing-hawk-8b-v1
Toredown service khoantap-amazing-hawk-8b-v1
Pipeline stage ISVCDeleter completed in 6.01s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khoantap-amazing-hawk-8b-v1/config.json from bucket guanaco-mkml-models
Deleting key khoantap-amazing-hawk-8b-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key khoantap-amazing-hawk-8b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khoantap-amazing-hawk-8b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key khoantap-amazing-hawk-8b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khoantap-amazing-hawk-8b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khoantap-amazing-hawk-8b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.89s
khoantap-amazing-hawk-8b_v1 status is now torndown due to DeploymentManager action

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