turboderp-cat-llama-3-7_8684

developer_uid: kaltcit
submission_id: turboderp-cat-llama-3-7_8684_v15
model_name: turboderp-cat-llama-3-70
model_group: turboderp/Cat-Llama-3-70
status: torndown
timestamp: 2024-06-28T20:43:04+00:00
num_battles: 19252
num_wins: 9777
celo_rating: 1188.13
family_friendly_score: 0.0
submission_type: basic
model_repo: turboderp/Cat-Llama-3-70B-instruct
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 70553739264.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: turboderp-cat-llama-3-70
is_internal_developer: False
language_model: turboderp/Cat-Llama-3-70B-instruct
model_size: 71B
ranking_group: single
us_pacific_date: 2024-06-28
win_ratio: 0.5078433409515895
generation_params: {'temperature': 0.9, 'top_p': 0.8, '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': '<|begin_of_text|><|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>system\n The following message provides the necessary information about the following conversation and the characters in the conversation.\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name turboderp-cat-llama-3-7-8684-v15-mkmlizer
Waiting for job on turboderp-cat-llama-3-7-8684-v15-mkmlizer to finish
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║     _____            __           __                                ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║       /___/                                                         ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║                                                                     ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  Version: 0.8.14                                                    ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  https://mk1.ai                                                     ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║                                                                     ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  belonging to:                                                      ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║                                                                     ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  Chai Research Corp.                                                ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ║                                                                     ║
turboderp-cat-llama-3-7-8684-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
turboderp-cat-llama-3-7-8684-v15-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.
turboderp-cat-llama-3-7-8684-v15-mkmlizer:   warnings.warn(warning_message, FutureWarning)
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Downloaded to shared memory in 131.402s
turboderp-cat-llama-3-7-8684-v15-mkmlizer: quantizing model to /dev/shm/model_cache
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
turboderp-cat-llama-3-7-8684-v15-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
turboderp-cat-llama-3-7-8684-v15-mkmlizer: quantized model in 105.932s
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Processed model turboderp/Cat-Llama-3-70B-instruct in 246.845s
turboderp-cat-llama-3-7-8684-v15-mkmlizer: creating bucket guanaco-mkml-models
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
turboderp-cat-llama-3-7-8684-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/special_tokens_map.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/tokenizer.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/tokenizer_config.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/config.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.5.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.0.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.4.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.2.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.1.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v15/flywheel_model.3.safetensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
turboderp-cat-llama-3-7-8684-v15-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.
turboderp-cat-llama-3-7-8684-v15-mkmlizer:   warnings.warn(
turboderp-cat-llama-3-7-8684-v15-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.
turboderp-cat-llama-3-7-8684-v15-mkmlizer:   warnings.warn(
turboderp-cat-llama-3-7-8684-v15-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.
turboderp-cat-llama-3-7-8684-v15-mkmlizer:   warnings.warn(
turboderp-cat-llama-3-7-8684-v15-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()
turboderp-cat-llama-3-7-8684-v15-mkmlizer:   return self.fget.__get__(instance, owner)()
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Saving duration: 0.267s
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.053s
turboderp-cat-llama-3-7-8684-v15-mkmlizer: creating bucket guanaco-reward-models
turboderp-cat-llama-3-7-8684-v15-mkmlizer: Bucket 's3://guanaco-reward-models/' created
turboderp-cat-llama-3-7-8684-v15-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/config.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/special_tokens_map.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/tokenizer_config.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/vocab.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/merges.txt
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/tokenizer.json
turboderp-cat-llama-3-7-8684-v15-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v15_reward/reward.tensors
Job turboderp-cat-llama-3-7-8684-v15-mkmlizer completed after 299.69s with status: succeeded
Stopping job with name turboderp-cat-llama-3-7-8684-v15-mkmlizer
Pipeline stage MKMLizer completed in 301.07s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service turboderp-cat-llama-3-7-8684-v15
Waiting for inference service turboderp-cat-llama-3-7-8684-v15 to be ready
Inference service turboderp-cat-llama-3-7-8684-v15 ready after 90.52438616752625s
Pipeline stage ISVCDeployer completed in 97.28s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.928693532943726s
Received healthy response to inference request in 4.213833570480347s
Received healthy response to inference request in 3.9058947563171387s
Received healthy response to inference request in 4.177092790603638s
Received healthy response to inference request in 4.246068239212036s
5 requests
0 failed requests
5th percentile: 3.9601343631744386
10th percentile: 4.0143739700317385
20th percentile: 4.122853183746338
30th percentile: 4.184440946578979
40th percentile: 4.199137258529663
50th percentile: 4.213833570480347
60th percentile: 4.226727437973023
70th percentile: 4.239621305465699
80th percentile: 4.382593297958374
90th percentile: 4.65564341545105
95th percentile: 4.792168474197387
99th percentile: 4.901388521194458
mean time: 4.294316577911377
Pipeline stage StressChecker completed in 22.42s
turboderp-cat-llama-3-7_8684_v15 status is now deployed due to DeploymentManager action
turboderp-cat-llama-3-7_8684_v15 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of turboderp-cat-llama-3-7_8684_v15
Running pipeline stage ISVCDeleter
Checking if service turboderp-cat-llama-3-7-8684-v15 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.12s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key turboderp-cat-llama-3-7-8684-v15/config.json from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.4.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/flywheel_model.5.safetensors from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/tokenizer.json from bucket guanaco-mkml-models
Deleting key turboderp-cat-llama-3-7-8684-v15/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/config.json from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/merges.txt from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/reward.tensors from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key turboderp-cat-llama-3-7-8684-v15_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 12.07s
turboderp-cat-llama-3-7_8684_v15 status is now torndown due to DeploymentManager action