submission_id: cgato-l3-thespice-8b-dpo_8377_v4
developer_uid: c.gato
best_of: 16
display_name: cgato-l3-thespice-8b-dpo_8377_v4
family_friendly_score: 0.0
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n", 'prompt_template': '***\n{prompt}\n***<|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': True}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e15.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
model_name: cgato-l3-thespice-8b-dpo_8377_v4
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e15.2
model_size: 8B
num_battles: 595
num_wins: 330
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-06-04T02:27:02+00:00
us_pacific_date: 2024-06-03
win_ratio: 0.5546218487394958
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer to finish
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║     _____            __           __                                ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║       /___/                                                         ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  Version: 0.8.14                                                    ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  belonging to:                                                      ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-8377-v4-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-8377-v4-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:02, 81.81it/s]
Loading 0:  64%|██████▍   | 187/291 [00:01<00:01, 96.03it/s]
Loading 0:  99%|█████████▊| 287/291 [00:02<00:00, 138.57it/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-8377-v4-mkmlizer: quantized model in 23.258s
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e15.2 in 42.716s
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4/config.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4/tokenizer.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v4/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-8377-v4-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-8377-v4-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-v4-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-8377-v4-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-v4-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-8377-v4-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-v4-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-8377-v4-mkmlizer:   return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Saving duration: 0.407s
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.283s
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/config.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/merges.txt
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/vocab.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v4_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer completed after 62.67s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-8377-v4-mkmlizer
Pipeline stage MKMLizer completed in 66.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-8377-v4
Waiting for inference service cgato-l3-thespice-8b-dpo-8377-v4 to be ready
Inference service cgato-l3-thespice-8b-dpo-8377-v4 ready after 50.30967354774475s
Pipeline stage ISVCDeployer completed in 58.01s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.44602632522583s
Received healthy response to inference request in 1.3258304595947266s
Received healthy response to inference request in 1.311882734298706s
Received healthy response to inference request in 1.3148295879364014s
Received healthy response to inference request in 1.2962713241577148s
5 requests
0 failed requests
5th percentile: 1.299393606185913
10th percentile: 1.3025158882141112
20th percentile: 1.3087604522705079
30th percentile: 1.3124721050262451
40th percentile: 1.3136508464813232
50th percentile: 1.3148295879364014
60th percentile: 1.3192299365997315
70th percentile: 1.3236302852630615
80th percentile: 1.9498696327209477
90th percentile: 3.1979479789733887
95th percentile: 3.821987152099609
99th percentile: 4.321218490600586
mean time: 1.9389680862426757
Pipeline stage StressChecker completed in 10.48s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
cgato-l3-thespice-8b-dpo_8377_v4 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_8377_v4 status is now rejected due to its M-Eval score being less than the acceptable minimum 6.5 to serve to users. Please consider iterating on your model's ability to adhere to prompts to improve this score.