submission_id: roleplay4fun-lewdma-3-8b_v3
developer_uid: gau
best_of: 16
celo_rating: 1172.5
display_name: lewdma_3_8b
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nImmerse yourself in the ongoing, uncensored fictional roleplay chat between {bot_name} and User. Your task is to write {bot_name}'s next reply, staying true to the character's description, personality, and provided dialogue examples.\n\nActions and narrations should be enclosed in asterisks. Craft your response as a detailed, third-person narrative.\n\nCharacter description: {memory}", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
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': ['<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: roleplay4fun/Lewdma-3-8B
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: roleplay4fun/Lewdma-3-8B
model_name: lewdma_3_8b
model_num_parameters: 8030261248.0
model_repo: roleplay4fun/Lewdma-3-8B
model_size: 8B
num_battles: 10040
num_wins: 5021
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': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-15T06:38:33+00:00
us_pacific_date: 2024-05-14
win_ratio: 0.5000996015936255
Resubmit model
Running pipeline stage MKMLizer
Starting job with name roleplay4fun-lewdma-3-8b-v3-mkmlizer
Waiting for job on roleplay4fun-lewdma-3-8b-v3-mkmlizer to finish
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ _____ __ __ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ /___/ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ Version: 0.8.14 ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ https://mk1.ai ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ belonging to: ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ Chai Research Corp. ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
roleplay4fun-lewdma-3-8b-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.
roleplay4fun-lewdma-3-8b-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Downloaded to shared memory in 12.281s
roleplay4fun-lewdma-3-8b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:45, 2.03s/it] Loading 0: 8%|▊ | 22/291 [00:04<00:36, 7.28it/s] Loading 0: 14%|█▍ | 41/291 [00:04<00:15, 15.74it/s] Loading 0: 21%|██ | 60/291 [00:04<00:08, 26.55it/s] Loading 0: 29%|██▉ | 85/291 [00:04<00:04, 44.43it/s] Loading 0: 36%|███▌ | 105/291 [00:04<00:03, 59.98it/s] Loading 0: 43%|████▎ | 124/291 [00:04<00:02, 76.01it/s] Loading 0: 49%|████▉ | 143/291 [00:04<00:01, 85.36it/s] Loading 0: 57%|█████▋ | 166/291 [00:05<00:02, 60.04it/s] Loading 0: 62%|██████▏ | 179/291 [00:05<00:01, 67.87it/s] Loading 0: 67%|██████▋ | 195/291 [00:05<00:01, 80.18it/s] Loading 0: 74%|███████▍ | 216/291 [00:05<00:00, 101.54it/s] Loading 0: 81%|████████ | 236/291 [00:05<00:00, 120.26it/s] Loading 0: 88%|████████▊ | 256/291 [00:05<00:00, 137.14it/s] Loading 0: 95%|█████████▍| 276/291 [00:06<00:00, 148.97it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
roleplay4fun-lewdma-3-8b-v3-mkmlizer: quantized model in 17.189s
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Processed model roleplay4fun/Lewdma-3-8B in 30.492s
roleplay4fun-lewdma-3-8b-v3-mkmlizer: creating bucket guanaco-mkml-models
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
roleplay4fun-lewdma-3-8b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3/config.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3/special_tokens_map.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3/tokenizer_config.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3/tokenizer.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v3/flywheel_model.0.safetensors
roleplay4fun-lewdma-3-8b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
roleplay4fun-lewdma-3-8b-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.
roleplay4fun-lewdma-3-8b-v3-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-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.
roleplay4fun-lewdma-3-8b-v3-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-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.
roleplay4fun-lewdma-3-8b-v3-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-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()
roleplay4fun-lewdma-3-8b-v3-mkmlizer: return self.fget.__get__(instance, owner)()
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Saving duration: 0.244s
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.145s
roleplay4fun-lewdma-3-8b-v3-mkmlizer: creating bucket guanaco-reward-models
roleplay4fun-lewdma-3-8b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
roleplay4fun-lewdma-3-8b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/config.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/special_tokens_map.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/tokenizer_config.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/merges.txt
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/vocab.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/tokenizer.json
roleplay4fun-lewdma-3-8b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v3_reward/reward.tensors
Job roleplay4fun-lewdma-3-8b-v3-mkmlizer completed after 62.87s with status: succeeded
Stopping job with name roleplay4fun-lewdma-3-8b-v3-mkmlizer
Pipeline stage MKMLizer completed in 67.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service roleplay4fun-lewdma-3-8b-v3
Waiting for inference service roleplay4fun-lewdma-3-8b-v3 to be ready
Inference service roleplay4fun-lewdma-3-8b-v3 ready after 40.23841857910156s
Pipeline stage ISVCDeployer completed in 47.90s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2615108489990234s
Received healthy response to inference request in 1.337907075881958s
Received healthy response to inference request in 1.2900691032409668s
Received healthy response to inference request in 1.2521641254425049s
Received healthy response to inference request in 1.3318710327148438s
5 requests
0 failed requests
5th percentile: 1.2597451210021973
10th percentile: 1.2673261165618896
20th percentile: 1.2824881076812744
30th percentile: 1.2984294891357422
40th percentile: 1.315150260925293
50th percentile: 1.3318710327148438
60th percentile: 1.3342854499816894
70th percentile: 1.336699867248535
80th percentile: 1.5226278305053713
90th percentile: 1.8920693397521973
95th percentile: 2.0767900943756104
99th percentile: 2.224566698074341
mean time: 1.4947044372558593
Pipeline stage StressChecker completed in 8.10s
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
roleplay4fun-lewdma-3-8b_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
roleplay4fun-lewdma-3-8b_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of roleplay4fun-lewdma-3-8b_v3
Running pipeline stage ISVCDeleter
Checking if service roleplay4fun-lewdma-3-8b-v3 is running
Tearing down inference service roleplay4fun-lewdma-3-8b-v3
Toredown service roleplay4fun-lewdma-3-8b-v3
Pipeline stage ISVCDeleter completed in 5.65s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key roleplay4fun-lewdma-3-8b-v3/config.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/config.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.98s
roleplay4fun-lewdma-3-8b_v3 status is now torndown due to DeploymentManager action