cgato-l3-thespice-8b-dpo_1771

submission_id: cgato-l3-thespice-8b-dpo_1771_v2

developer_uid: chai_backend_admin

best_of: 16

celo_rating: 1247.31

display_name: cgato-l3-thespice-8b-dpo_1771_v2

family_friendly_score: 0.0

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}

generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

ineligible_reason: model is not deployable

is_internal_developer: True

language_model: cgato/L3-TheSpice-8b-DPO-v2.3-e3.2

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_eval_status: error

model_group: cgato/L3-TheSpice-8b-DPO

model_name: cgato-l3-thespice-8b-dpo_1771_v2

model_num_parameters: 8030261248.0

model_repo: cgato/L3-TheSpice-8b-DPO-v2.3-e3.2

model_size: 8B

num_battles: 1627

num_wins: 944

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}:', 'user_template': '{user_name}: {message}\n'}

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

status: rejected

submission_type: basic

timestamp: 2024-05-10T01:57:35+00:00

us_pacific_date: 2024-05-09

win_ratio: 0.5802089735709896

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer to finish
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║     _____            __           __                                ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║       /___/                                                         ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  Version: 0.8.10                                                    ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  belonging to:                                                      ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-1771-v2-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.
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Downloaded to shared memory in 50.307s
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:02, 77.78it/s]
Loading 0:  99%|█████████▊| 287/291 [00:02<00:00, 127.11it/s]
                                                             
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: quantized model in 19.974s
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v2.3-e3.2 in 71.219s
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2/config.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2/special_tokens_map.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2/tokenizer_config.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2/tokenizer.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1771-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-1771-v2-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.
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-1771-v2-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.
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-1771-v2-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.
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-1771-v2-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()
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Saving duration: 0.237s
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 11.534s
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/config.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/merges.txt
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/vocab.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1771-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer completed after 112.84s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-1771-v2-mkmlizer
Pipeline stage MKMLizer completed in 114.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.49s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-1771-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-1771-v2 to be ready
Inference service cgato-l3-thespice-8b-dpo-1771-v2 ready after 40.711528062820435s
Pipeline stage ISVCDeployer completed in 42.56s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.610285758972168s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.688222885131836s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.7074899673461914s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.7787940502166748s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.9810149669647217s
5 requests
0 failed requests
5th percentile: 1.6920763015747071
10th percentile: 1.695929718017578
20th percentile: 1.7036365509033202
30th percentile: 1.7217507839202881
40th percentile: 1.7502724170684814
50th percentile: 1.7787940502166748
60th percentile: 1.8596824169158936
70th percentile: 1.9405707836151123
80th percentile: 2.106869125366211
90th percentile: 2.3585774421691896
95th percentile: 2.484431600570679
99th percentile: 2.5851149272918703
mean time: 1.9531615257263184
Pipeline stage StressChecker completed in 13.85s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.17s
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 0.39s
%s, retrying in %s seconds...
cgato-l3-thespice-8b-dpo_1771_v2 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
cgato-l3-thespice-8b-dpo_1771_v2 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.