submission_id: cgato-l3-thespice-8b-dpo_8377_v3
developer_uid: c.gato
best_of: 16
display_name: cgato-l3-thespice-8b-dpo_8377_v3
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|>{bot_name}\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>{bot_name}\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: error
model_group: cgato/L3-TheSpice-8b-DPO
model_name: cgato-l3-thespice-8b-dpo_8377_v3
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e15.2
model_size: 8B
num_battles: 401
num_wins: 224
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: 2024-06-04T02:14:16+00:00
us_pacific_date: 2024-06-03
win_ratio: 0.5586034912718204
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer to finish
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║     _____            __           __                                ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║       /___/                                                         ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  Version: 0.8.14                                                    ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  belonging to:                                                      ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-8377-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.
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Downloaded to shared memory in 27.794s
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: 
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Loading 0:  99%|█████████▊| 287/291 [00:02<00:00, 111.03it/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-v3-mkmlizer: quantized model in 27.518s
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3/config.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3/tokenizer.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8377-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-8377-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.
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-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.
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-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.
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-8377-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()
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer:   return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Saving duration: 0.514s
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.235s
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/config.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/merges.txt
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/vocab.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8377-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer completed after 88.94s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-8377-v3-mkmlizer
Pipeline stage MKMLizer completed in 90.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-8377-v3
Waiting for inference service cgato-l3-thespice-8b-dpo-8377-v3 to be ready
Inference service cgato-l3-thespice-8b-dpo-8377-v3 ready after 41.343583822250366s
Pipeline stage ISVCDeployer completed in 47.18s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.101559638977051s
Received healthy response to inference request in 1.3329637050628662s
Received healthy response to inference request in 1.2893884181976318s
Received healthy response to inference request in 1.4117369651794434s
Received healthy response to inference request in 1.297903299331665s
5 requests
0 failed requests
5th percentile: 1.2910913944244384
10th percentile: 1.292794370651245
20th percentile: 1.2962003231048584
30th percentile: 1.3049153804779052
40th percentile: 1.3189395427703858
50th percentile: 1.3329637050628662
60th percentile: 1.364473009109497
70th percentile: 1.395982313156128
80th percentile: 1.5497014999389649
90th percentile: 1.825630569458008
95th percentile: 1.9635951042175293
99th percentile: 2.0739667320251463
mean time: 1.4867104053497315
Pipeline stage StressChecker completed in 8.04s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-dpo_8377_v3 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_8377_v3 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.