submission_id: vicgalle-roleplay-llama-3-8b_v11
developer_uid: vietanh
status: torndown
model_repo: vicgalle/Roleplay-Llama-3-8B
reward_repo: rirv938/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': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 112}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nWrite {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations your responses must be enclosed by asterisks (*), and speeches must NOT be enclosed by any indicators. The responses must be long and in third perspective of the story teller. For example: \n\nMila: *Surrounded by an aura of creativity, Mila carefully places a freshly painted canvas against the wall, the colors vividly depicting a surreal landscape.* Isn't it fascinating how art can transport us to entirely different worlds? What kind of worlds do you dream of exploring?\n\nDescription: {memory}", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\n{message}<|eot_id|>', 'user_template': '<|start_header_id|>User<|end_header_id|>\n\n{message}<|eot_id|>', 'response_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\n', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-21T19:48:49+00:00
model_name: vicgalle-roleplay-llama-3-8b_v2
model_eval_status: success
model_group: vicgalle/Roleplay-Llama-
num_battles: 6722
num_wins: 3939
celo_rating: 1205.07
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: 112
display_name: vicgalle-roleplay-llama-3-8b_v2
ineligible_reason: max_output_tokens!=64
language_model: vicgalle/Roleplay-Llama-3-8B
model_size: 8B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-21
win_ratio: 0.5859863135971437
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name vicgalle-roleplay-llama-3-8b-v11-mkmlizer
Waiting for job on vicgalle-roleplay-llama-3-8b-v11-mkmlizer to finish
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ _____ __ __ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ /___/ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ Version: 0.8.10 ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ The license key for the current software has been verified as ║
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vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ Chai Research Corp. ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ║ ║
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
vicgalle-roleplay-llama-3-8b-v11-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.
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: warnings.warn(warning_message, FutureWarning)
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Downloaded to shared memory in 24.865s
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: quantizing model to /dev/shm/model_cache
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 65.93it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 71.03it/s] Loading 0: 99%|█████████▊| 287/291 [00:09<00:00, 25.85it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: quantized model in 21.398s
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Processed model vicgalle/Roleplay-Llama-3-8B in 47.891s
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: creating bucket guanaco-mkml-models
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/vicgalle-roleplay-llama-3-8b-v11/flywheel_model.0.safetensors
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
vicgalle-roleplay-llama-3-8b-v11-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.
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: warnings.warn(
vicgalle-roleplay-llama-3-8b-v11-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.
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: warnings.warn(
vicgalle-roleplay-llama-3-8b-v11-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.
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: warnings.warn(
vicgalle-roleplay-llama-3-8b-v11-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()
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: return self.fget.__get__(instance, owner)()
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Saving duration: 0.301s
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.106s
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: creating bucket guanaco-reward-models
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: Bucket 's3://guanaco-reward-models/' created
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/special_tokens_map.json
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/config.json
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/tokenizer_config.json
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/merges.txt
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/vocab.json
vicgalle-roleplay-llama-3-8b-v11-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/vicgalle-roleplay-llama-3-8b-v11_reward/tokenizer.json
Job vicgalle-roleplay-llama-3-8b-v11-mkmlizer completed after 73.72s with status: succeeded
Stopping job with name vicgalle-roleplay-llama-3-8b-v11-mkmlizer
Pipeline stage MKMLizer completed in 79.16s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service vicgalle-roleplay-llama-3-8b-v11
Waiting for inference service vicgalle-roleplay-llama-3-8b-v11 to be ready
Inference service vicgalle-roleplay-llama-3-8b-v11 ready after 40.218981981277466s
Pipeline stage ISVCDeployer completed in 48.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.891519069671631s
Received healthy response to inference request in 2.028681993484497s
Received healthy response to inference request in 2.0122177600860596s
Received healthy response to inference request in 2.1200695037841797s
Received healthy response to inference request in 2.0866034030914307s
5 requests
0 failed requests
5th percentile: 2.015510606765747
10th percentile: 2.0188034534454347
20th percentile: 2.0253891468048097
30th percentile: 2.040266275405884
40th percentile: 2.0634348392486572
50th percentile: 2.0866034030914307
60th percentile: 2.0999898433685305
70th percentile: 2.11337628364563
80th percentile: 2.27435941696167
90th percentile: 2.5829392433166505
95th percentile: 2.7372291564941404
99th percentile: 2.860661087036133
mean time: 2.2278183460235597
Pipeline stage StressChecker completed in 11.74s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
vicgalle-roleplay-llama-3-8b_v11 status is now deployed due to DeploymentManager action
vicgalle-roleplay-llama-3-8b_v11 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of vicgalle-roleplay-llama-3-8b_v11
Running pipeline stage ISVCDeleter
Checking if service vicgalle-roleplay-llama-3-8b-v11 is running
Tearing down inference service vicgalle-roleplay-llama-3-8b-v11
Toredown service vicgalle-roleplay-llama-3-8b-v11
Pipeline stage ISVCDeleter completed in 4.88s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key vicgalle-roleplay-llama-3-8b-v11/config.json from bucket guanaco-mkml-models
Deleting key vicgalle-roleplay-llama-3-8b-v11/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key vicgalle-roleplay-llama-3-8b-v11/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key vicgalle-roleplay-llama-3-8b-v11/tokenizer.json from bucket guanaco-mkml-models
Deleting key vicgalle-roleplay-llama-3-8b-v11/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/config.json from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/merges.txt from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/reward.tensors from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key vicgalle-roleplay-llama-3-8b-v11_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.13s
vicgalle-roleplay-llama-3-8b_v11 status is now torndown due to DeploymentManager action

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