submission_id: trace2333-pippa-llama2-v0_v1
developer_uid: Trace2333
status: inactive
model_repo: Trace2333/pippa_llama2_v0
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: 2024-06-12T04:10:56+00:00
model_name: trace2333-pippa-llama2-v0_v1
model_eval_status: success
model_group: Trace2333/pippa_llama2_v
num_battles: 14320
num_wins: 5198
celo_rating: 1081.97
propriety_score: 0.7122093023255814
propriety_total_count: 5848.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 6738415616.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: trace2333-pippa-llama2-v0_v1
ineligible_reason: None
language_model: Trace2333/pippa_llama2_v0
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-11
win_ratio: 0.3629888268156425
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-pippa-llama2-v0-v1-mkmlizer
Waiting for job on trace2333-pippa-llama2-v0-v1-mkmlizer to finish
trace2333-pippa-llama2-v0-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ _____ __ __ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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trace2333-pippa-llama2-v0-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ /___/ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ Version: 0.8.14 ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ https://mk1.ai ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ belonging to: ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ║ ║
trace2333-pippa-llama2-v0-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-pippa-llama2-v0-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.
trace2333-pippa-llama2-v0-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
trace2333-pippa-llama2-v0-v1-mkmlizer: Downloaded to shared memory in 55.091s
trace2333-pippa-llama2-v0-v1-mkmlizer: quantizing model to /dev/shm/model_cache
trace2333-pippa-llama2-v0-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-pippa-llama2-v0-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 3%|▎ | 10/291 [00:00<00:02, 93.92it/s] Loading 0: 7%|▋ | 20/291 [00:00<00:02, 96.17it/s] Loading 0: 10%|█ | 30/291 [00:00<00:02, 89.32it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 86.66it/s] Loading 0: 18%|█▊ | 51/291 [00:00<00:04, 48.94it/s] Loading 0: 20%|██ | 59/291 [00:00<00:04, 54.62it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:03, 60.12it/s] Loading 0: 26%|██▋ | 77/291 [00:01<00:03, 69.53it/s] Loading 0: 30%|███ | 88/291 [00:01<00:02, 75.80it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 78.25it/s] Loading 0: 37%|███▋ | 107/291 [00:01<00:03, 49.07it/s] Loading 0: 40%|███▉ | 116/291 [00:01<00:03, 56.10it/s] Loading 0: 43%|████▎ | 126/291 [00:01<00:02, 64.43it/s] Loading 0: 47%|████▋ | 136/291 [00:02<00:02, 71.58it/s] Loading 0: 51%|█████ | 147/291 [00:02<00:01, 77.59it/s] Loading 0: 54%|█████▍ | 158/291 [00:02<00:01, 84.35it/s] Loading 0: 58%|█████▊ | 168/291 [00:02<00:02, 51.11it/s] Loading 0: 61%|██████ | 178/291 [00:02<00:01, 59.25it/s] Loading 0: 65%|██████▍ | 188/291 [00:02<00:01, 67.26it/s] Loading 0: 68%|██████▊ | 198/291 [00:02<00:01, 74.37it/s] Loading 0: 71%|███████▏ | 208/291 [00:03<00:01, 80.01it/s] Loading 0: 75%|███████▍ | 218/291 [00:03<00:01, 53.18it/s] Loading 0: 78%|███████▊ | 228/291 [00:03<00:01, 60.21it/s] Loading 0: 82%|████████▏ | 238/291 [00:03<00:00, 66.48it/s] Loading 0: 85%|████████▌ | 248/291 [00:03<00:00, 71.74it/s] Loading 0: 89%|████████▉ | 259/291 [00:03<00:00, 80.45it/s] Loading 0: 92%|█████████▏| 269/291 [00:05<00:01, 17.39it/s] Loading 0: 95%|█████████▍| 276/291 [00:05<00:00, 20.87it/s] Loading 0: 99%|█████████▊| 287/291 [00:05<00:00, 28.57it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
trace2333-pippa-llama2-v0-v1-mkmlizer: quantized model in 15.316s
trace2333-pippa-llama2-v0-v1-mkmlizer: Processed model Trace2333/pippa_llama2_v0 in 74.752s
trace2333-pippa-llama2-v0-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-pippa-llama2-v0-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-pippa-llama2-v0-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/tokenizer_config.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/special_tokens_map.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/tokenizer.model
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/config.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/tokenizer.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-pippa-llama2-v0-v1/flywheel_model.0.safetensors
trace2333-pippa-llama2-v0-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
trace2333-pippa-llama2-v0-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.
trace2333-pippa-llama2-v0-v1-mkmlizer: warnings.warn(
trace2333-pippa-llama2-v0-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.
trace2333-pippa-llama2-v0-v1-mkmlizer: warnings.warn(
trace2333-pippa-llama2-v0-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.
trace2333-pippa-llama2-v0-v1-mkmlizer: warnings.warn(
trace2333-pippa-llama2-v0-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()
trace2333-pippa-llama2-v0-v1-mkmlizer: return self.fget.__get__(instance, owner)()
trace2333-pippa-llama2-v0-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-pippa-llama2-v0-v1-mkmlizer: Saving duration: 0.445s
trace2333-pippa-llama2-v0-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.139s
trace2333-pippa-llama2-v0-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-pippa-llama2-v0-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-pippa-llama2-v0-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/config.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/tokenizer_config.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/vocab.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/special_tokens_map.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/merges.txt
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/tokenizer.json
trace2333-pippa-llama2-v0-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-pippa-llama2-v0-v1_reward/reward.tensors
Job trace2333-pippa-llama2-v0-v1-mkmlizer completed after 96.36s with status: succeeded
Stopping job with name trace2333-pippa-llama2-v0-v1-mkmlizer
Pipeline stage MKMLizer completed in 101.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-pippa-llama2-v0-v1
Waiting for inference service trace2333-pippa-llama2-v0-v1 to be ready
Inference service trace2333-pippa-llama2-v0-v1 ready after 30.199641942977905s
Pipeline stage ISVCDeployer completed in 37.55s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.894315481185913s
Received healthy response to inference request in 0.7732219696044922s
Received healthy response to inference request in 0.8305540084838867s
Received healthy response to inference request in 0.8264427185058594s
Received healthy response to inference request in 0.9021553993225098s
5 requests
0 failed requests
5th percentile: 0.7838661193847656
10th percentile: 0.7945102691650391
20th percentile: 0.815798568725586
30th percentile: 0.8272649765014648
40th percentile: 0.8289094924926758
50th percentile: 0.8305540084838867
60th percentile: 0.859194564819336
70th percentile: 0.8878351211547851
80th percentile: 1.1005874156951907
90th percentile: 1.497451448440552
95th percentile: 1.6958834648132322
99th percentile: 1.854629077911377
mean time: 1.0453379154205322
Pipeline stage StressChecker completed in 5.89s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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-llama2-v0_v1 status is now deployed due to DeploymentManager action
trace2333-pippa-llama2-v0_v1 status is now inactive due to auto deactivation removed underperforming models

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