cgato-l3-thespice-8b-dpo_1421

submission_id: cgato-l3-thespice-8b-dpo_1421_v2

developer_uid: c.gato

best_of: 16

display_name: cgato-l3-thespice-8b-dpo_1421_v2

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-e15.1

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_1421_v2

model_num_parameters: 8030277632.0

model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e15.1

model_size: 8B

num_battles: 500

num_wins: 286

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: 2024-06-04T02:30:01+00:00

us_pacific_date: 2024-06-03

win_ratio: 0.572

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer to finish
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║     _____            __           __                                ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║       /___/                                                         ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  Version: 0.8.14                                                    ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  belonging to:                                                      ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ║                                                                     ║
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-1421-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-1421-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Downloaded to shared memory in 23.122s
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
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Loading 0:  99%|█████████▊| 287/291 [00:02<00:00, 144.05it/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-1421-v2-mkmlizer: quantized model in 19.027s
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e15.1 in 43.235s
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2/special_tokens_map.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2/config.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2/tokenizer_config.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2/tokenizer.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-1421-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-1421-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-1421-v2-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-1421-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-1421-v2-mkmlizer:   warnings.warn(
cgato-l3-thespice-8b-dpo-1421-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-1421-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Saving duration: 0.333s
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.274s
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/config.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/merges.txt
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/vocab.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-1421-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer completed after 136.01s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-1421-v2-mkmlizer
Pipeline stage MKMLizer completed in 139.90s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-1421-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-1421-v2 to be ready
Inference service cgato-l3-thespice-8b-dpo-1421-v2 ready after 30.191866636276245s
Pipeline stage ISVCDeployer completed in 37.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.28025484085083s
Received healthy response to inference request in 1.35500168800354s
Received healthy response to inference request in 1.30592942237854s
Received healthy response to inference request in 1.3424866199493408s
Received healthy response to inference request in 1.2929582595825195s
5 requests
0 failed requests
5th percentile: 1.2955524921417236
10th percentile: 1.2981467247009277
20th percentile: 1.303335189819336
30th percentile: 1.3132408618927003
40th percentile: 1.3278637409210206
50th percentile: 1.3424866199493408
60th percentile: 1.3474926471710205
70th percentile: 1.3524986743927
80th percentile: 1.5400523185729982
90th percentile: 1.9101535797119142
95th percentile: 2.0952042102813717
99th percentile: 2.2432447147369383
mean time: 1.515326166152954
Pipeline stage StressChecker completed in 8.23s
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
cgato-l3-thespice-8b-dpo_1421_v2 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_1421_v2 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.