submission_id: trace2333-pippa-bm-llama2-v0_v3
developer_uid: Trace2333
best_of: 4
celo_rating: 1080.44
display_name: trace2333-pippa-bm-llama2-v0_v3
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}", '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}
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': ['</s>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Trace2333/pippa_bm_llama2_v0
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: Trace2333/pippa_bm_llama
model_name: trace2333-pippa-bm-llama2-v0_v3
model_num_parameters: 6738415616.0
model_repo: Trace2333/pippa_bm_llama2_v0
model_size: 7B
num_battles: 17731
num_wins: 6312
ranking_group: single
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'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-17T08:11:02+00:00
us_pacific_date: 2024-06-17
win_ratio: 0.35598668997800464
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-pippa-bm-llama2-v0-v3-mkmlizer
Waiting for job on trace2333-pippa-bm-llama2-v0-v3-mkmlizer to finish
Stopping job with name trace2333-pippa-bm-llama2-v0-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name trace2333-pippa-bm-llama2-v0-v3-mkmlizer
Waiting for job on trace2333-pippa-bm-llama2-v0-v3-mkmlizer to finish
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║     _____            __           __                                ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║       /___/                                                         ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║                                                                     ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  Version: 0.8.14                                                    ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║                                                                     ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  belonging to:                                                      ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║                                                                     ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ║                                                                     ║
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-pippa-bm-llama2-v0-v3-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.
trace2333-pippa-bm-llama2-v0-v3-mkmlizer:   warnings.warn(warning_message, FutureWarning)
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Downloaded to shared memory in 54.461s
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: quantizing model to /dev/shm/model_cache
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   4%|▍         | 11/291 [00:00<00:02, 109.82it/s]
Loading 0:   8%|▊         | 22/291 [00:00<00:03, 87.68it/s] 
Loading 0:  11%|█         | 32/291 [00:00<00:03, 86.14it/s]
Loading 0:  15%|█▍        | 43/291 [00:00<00:02, 92.49it/s]
Loading 0:  18%|█▊        | 53/291 [00:00<00:04, 49.04it/s]
Loading 0:  22%|██▏       | 65/291 [00:00<00:03, 61.74it/s]
Loading 0:  25%|██▌       | 74/291 [00:01<00:03, 65.15it/s]
Loading 0:  29%|██▉       | 84/291 [00:01<00:02, 71.79it/s]
Loading 0:  32%|███▏      | 94/291 [00:01<00:02, 77.33it/s]
Loading 0:  36%|███▌      | 104/291 [00:01<00:02, 81.92it/s]
Loading 0:  39%|███▉      | 113/291 [00:01<00:03, 47.12it/s]
Loading 0:  42%|████▏     | 122/291 [00:01<00:03, 54.58it/s]
Loading 0:  45%|████▌     | 131/291 [00:02<00:02, 61.64it/s]
Loading 0:  49%|████▉     | 142/291 [00:02<00:02, 71.17it/s]
Loading 0:  52%|█████▏    | 152/291 [00:02<00:01, 76.91it/s]
Loading 0:  55%|█████▌    | 161/291 [00:02<00:02, 48.63it/s]
Loading 0:  58%|█████▊    | 170/291 [00:02<00:02, 55.83it/s]
Loading 0:  62%|██████▏   | 180/291 [00:02<00:01, 64.33it/s]
Loading 0:  65%|██████▌   | 190/291 [00:02<00:01, 71.66it/s]
Loading 0:  69%|██████▉   | 201/291 [00:03<00:01, 77.35it/s]
Loading 0:  73%|███████▎  | 212/291 [00:03<00:00, 83.83it/s]
Loading 0:  76%|███████▋  | 222/291 [00:03<00:01, 49.07it/s]
Loading 0:  80%|███████▉  | 232/291 [00:03<00:01, 57.38it/s]
Loading 0:  83%|████████▎ | 242/291 [00:03<00:00, 65.24it/s]
Loading 0:  87%|████████▋ | 252/291 [00:03<00:00, 71.99it/s]
Loading 0:  90%|█████████ | 262/291 [00:03<00:00, 77.62it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:01, 16.56it/s]
Loading 0:  97%|█████████▋| 283/291 [00:05<00:00, 23.27it/s]
                                                            
You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: quantized model in 15.579s
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Processed model Trace2333/pippa_bm_llama2_v0 in 74.364s
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: creating bucket guanaco-mkml-models
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/config.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/special_tokens_map.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/tokenizer.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/tokenizer.model
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/tokenizer_config.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-pippa-bm-llama2-v0-v3/flywheel_model.0.safetensors
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
trace2333-pippa-bm-llama2-v0-v3-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.
trace2333-pippa-bm-llama2-v0-v3-mkmlizer:   warnings.warn(
trace2333-pippa-bm-llama2-v0-v3-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.
trace2333-pippa-bm-llama2-v0-v3-mkmlizer:   warnings.warn(
trace2333-pippa-bm-llama2-v0-v3-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.
trace2333-pippa-bm-llama2-v0-v3-mkmlizer:   warnings.warn(
trace2333-pippa-bm-llama2-v0-v3-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()
trace2333-pippa-bm-llama2-v0-v3-mkmlizer:   return self.fget.__get__(instance, owner)()
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Saving duration: 0.395s
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.984s
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: creating bucket guanaco-reward-models
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/config.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/special_tokens_map.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/tokenizer_config.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/vocab.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/tokenizer.json
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/merges.txt
trace2333-pippa-bm-llama2-v0-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-pippa-bm-llama2-v0-v3_reward/reward.tensors
Job trace2333-pippa-bm-llama2-v0-v3-mkmlizer completed after 103.48s with status: succeeded
Stopping job with name trace2333-pippa-bm-llama2-v0-v3-mkmlizer
Pipeline stage MKMLizer completed in 106.92s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-pippa-bm-llama2-v0-v3
Waiting for inference service trace2333-pippa-bm-llama2-v0-v3 to be ready
Inference service trace2333-pippa-bm-llama2-v0-v3 ready after 100.495041847229s
Pipeline stage ISVCDeployer completed in 107.45s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9172742366790771s
Received healthy response to inference request in 0.9892089366912842s
%s, retrying in %s seconds...
Received healthy response to inference request in 1.0258898735046387s
Received healthy response to inference request in 1.0126903057098389s
Received healthy response to inference request in 1.1227405071258545s
Received healthy response to inference request in 1.0358107089996338s
Received healthy response to inference request in 2.300614356994629s
5 requests
0 failed requests
5th percentile: 1.0153302192687987
10th percentile: 1.0179701328277588
20th percentile: 1.0232499599456788
30th percentile: 1.0278740406036377
40th percentile: 1.0318423748016357
50th percentile: 1.0358107089996338
60th percentile: 1.070582628250122
70th percentile: 1.1053545475006104
80th percentile: 1.3583152770996096
90th percentile: 1.8294648170471193
95th percentile: 2.0650395870208738
99th percentile: 2.253499402999878
mean time: 1.299549150466919
Pipeline stage StressChecker completed in 30.12s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.03s
M-Eval Dataset for topic stay_in_character is loaded
trace2333-pippa-bm-llama2-v0_v3 status is now deployed due to DeploymentManager action
trace2333-pippa-bm-llama2-v0_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of trace2333-pippa-bm-llama2-v0_v3
Running pipeline stage ISVCDeleter
Checking if service trace2333-pippa-bm-llama2-v0-v3 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.19s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key trace2333-pippa-bm-llama2-v0-v3/config.json from bucket guanaco-mkml-models
Deleting key trace2333-pippa-bm-llama2-v0-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key trace2333-pippa-bm-llama2-v0-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key trace2333-pippa-bm-llama2-v0-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key trace2333-pippa-bm-llama2-v0-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key trace2333-pippa-bm-llama2-v0-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/config.json from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key trace2333-pippa-bm-llama2-v0-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.38s
trace2333-pippa-bm-llama2-v0_v3 status is now torndown due to DeploymentManager action