submission_id: roleplay4fun-lewdma-3-8b_v1
developer_uid: gau
status: torndown
model_repo: roleplay4fun/Lewdma-3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\\\Immerse 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.\\\\Actions and narrations should be enclosed in asterisks. Craft your response as a detailed, third-person narrative.\\\\Character description: {memory}", 'prompt_template': 'Example conversation:\\{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\\\\{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\\\\{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\\\\{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\\####\\", 'prompt_template': '{prompt}\\<START>\\', 'bot_template': '{bot_name}: {message}\\', 'user_template': '{user_name}: {message}\\', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-05-15T06:34:37+00:00
model_name: lewdma_3_8b
model_eval_status: success
model_group: roleplay4fun/Lewdma-3-8B
num_battles: 11456
num_wins: 5640
celo_rating: 1167.8
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: lewdma_3_8b
ineligible_reason: propriety_total_count < 800
language_model: roleplay4fun/Lewdma-3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-14
win_ratio: 0.49231843575418993
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name roleplay4fun-lewdma-3-8b-v1-mkmlizer
Waiting for job on roleplay4fun-lewdma-3-8b-v1-mkmlizer to finish
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ _____ __ __ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ /___/ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ Version: 0.8.14 ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ https://mk1.ai ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ belonging to: ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ Chai Research Corp. ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ║ ║
roleplay4fun-lewdma-3-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
roleplay4fun-lewdma-3-8b-v1-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-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Downloaded to shared memory in 29.734s
roleplay4fun-lewdma-3-8b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:59, 2.08s/it] Loading 0: 7%|▋ | 19/291 [00:04<00:44, 6.12it/s] Loading 0: 14%|█▎ | 40/291 [00:04<00:16, 15.34it/s] Loading 0: 20%|██ | 59/291 [00:04<00:08, 25.91it/s] Loading 0: 27%|██▋ | 78/291 [00:04<00:05, 38.87it/s] Loading 0: 35%|███▌ | 103/291 [00:04<00:03, 59.77it/s] Loading 0: 42%|████▏ | 122/291 [00:04<00:02, 75.30it/s] Loading 0: 48%|████▊ | 141/291 [00:04<00:01, 91.27it/s] Loading 0: 56%|█████▌ | 163/291 [00:04<00:01, 113.47it/s] Loading 0: 63%|██████▎ | 183/291 [00:05<00:01, 58.62it/s] Loading 0: 69%|██████▊ | 200/291 [00:05<00:01, 71.23it/s] Loading 0: 76%|███████▌ | 220/291 [00:05<00:00, 88.56it/s] Loading 0: 82%|████████▏ | 239/291 [00:06<00:00, 104.33it/s] Loading 0: 90%|████████▉ | 261/291 [00:06<00:00, 126.09it/s] Loading 0: 97%|█████████▋| 283/291 [00:06<00:00, 145.13it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
roleplay4fun-lewdma-3-8b-v1-mkmlizer: quantized model in 17.290s
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Processed model roleplay4fun/Lewdma-3-8B in 47.980s
roleplay4fun-lewdma-3-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
roleplay4fun-lewdma-3-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1/tokenizer_config.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1/special_tokens_map.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1/config.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1/tokenizer.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/roleplay4fun-lewdma-3-8b-v1/flywheel_model.0.safetensors
roleplay4fun-lewdma-3-8b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
roleplay4fun-lewdma-3-8b-v1-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-v1-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-v1-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-v1-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-v1-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-v1-mkmlizer: warnings.warn(
roleplay4fun-lewdma-3-8b-v1-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-v1-mkmlizer: return self.fget.__get__(instance, owner)()
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Saving duration: 0.241s
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.272s
roleplay4fun-lewdma-3-8b-v1-mkmlizer: creating bucket guanaco-reward-models
roleplay4fun-lewdma-3-8b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
roleplay4fun-lewdma-3-8b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/config.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/special_tokens_map.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/merges.txt
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/vocab.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/tokenizer_config.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/tokenizer.json
roleplay4fun-lewdma-3-8b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/roleplay4fun-lewdma-3-8b-v1_reward/reward.tensors
Job roleplay4fun-lewdma-3-8b-v1-mkmlizer completed after 72.77s with status: succeeded
Stopping job with name roleplay4fun-lewdma-3-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 77.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service roleplay4fun-lewdma-3-8b-v1
Waiting for inference service roleplay4fun-lewdma-3-8b-v1 to be ready
Inference service roleplay4fun-lewdma-3-8b-v1 ready after 30.17543935775757s
Pipeline stage ISVCDeployer completed in 37.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.167388677597046s
Received healthy response to inference request in 1.3366618156433105s
Received healthy response to inference request in 1.30110502243042s
Received healthy response to inference request in 1.3011605739593506s
Received healthy response to inference request in 1.336066722869873s
5 requests
0 failed requests
5th percentile: 1.301116132736206
10th percentile: 1.3011272430419922
20th percentile: 1.3011494636535645
30th percentile: 1.3081418037414552
40th percentile: 1.322104263305664
50th percentile: 1.336066722869873
60th percentile: 1.3363047599792481
70th percentile: 1.336542797088623
80th percentile: 1.5028071880340579
90th percentile: 1.835097932815552
95th percentile: 2.0012433052062986
99th percentile: 2.1341596031188965
mean time: 1.4884765625
Pipeline stage StressChecker completed in 8.12s
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_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
roleplay4fun-lewdma-3-8b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of roleplay4fun-lewdma-3-8b_v1
Running pipeline stage ISVCDeleter
Checking if service roleplay4fun-lewdma-3-8b-v1 is running
Tearing down inference service roleplay4fun-lewdma-3-8b-v1
Toredown service roleplay4fun-lewdma-3-8b-v1
Pipeline stage ISVCDeleter completed in 3.25s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key roleplay4fun-lewdma-3-8b-v1/config.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key roleplay4fun-lewdma-3-8b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key roleplay4fun-lewdma-3-8b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.19s
roleplay4fun-lewdma-3-8b_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics