submission_id: saishf-merge-mayhem-l3-v2_v7
developer_uid: saishf
status: torndown
model_repo: saishf/Merge-Mayhem-L3-V2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.1, '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': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}. Write {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 must be enclosed in asterisks (*). The responses must be long and in third perspective of the story teller.\n\nDescription: {memory}", 'prompt_template': '\n\nExample 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}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-05-12T16:22:55+00:00
model_name: saishf-merge-mayhem-l3-v2_v7
model_eval_status: success
model_group: saishf/Merge-Mayhem-L3-V
num_battles: 13103
num_wins: 6809
celo_rating: 1184.14
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: saishf-merge-mayhem-l3-v2_v7
ineligible_reason: propriety_total_count < 800
language_model: saishf/Merge-Mayhem-L3-V2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-12
win_ratio: 0.5196519880943296
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name saishf-merge-mayhem-l3-v2-v7-mkmlizer
Waiting for job on saishf-merge-mayhem-l3-v2-v7-mkmlizer to finish
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ _____ __ __ ║
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saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ /___/ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ Version: 0.8.10 ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ The license key for the current software has been verified as ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ belonging to: ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ Chai Research Corp. ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
saishf-merge-mayhem-l3-v2-v7-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.
saishf-merge-mayhem-l3-v2-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Downloaded to shared memory in 11.269s
saishf-merge-mayhem-l3-v2-v7-mkmlizer: quantizing model to /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:48, 2.04s/it] Loading 0: 42%|████▏ | 122/291 [00:05<00:05, 30.38it/s] Loading 0: 95%|█████████▍| 275/291 [00:06<00:00, 62.58it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
saishf-merge-mayhem-l3-v2-v7-mkmlizer: quantized model in 17.817s
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Processed model saishf/Merge-Mayhem-L3-V2 in 30.164s
saishf-merge-mayhem-l3-v2-v7-mkmlizer: creating bucket guanaco-mkml-models
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
saishf-merge-mayhem-l3-v2-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7/config.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7/tokenizer_config.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7/special_tokens_map.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7/tokenizer.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-v7/flywheel_model.0.safetensors
saishf-merge-mayhem-l3-v2-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
saishf-merge-mayhem-l3-v2-v7-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.
saishf-merge-mayhem-l3-v2-v7-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-v7-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.
saishf-merge-mayhem-l3-v2-v7-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-v7-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.
saishf-merge-mayhem-l3-v2-v7-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-v7-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()
saishf-merge-mayhem-l3-v2-v7-mkmlizer: return self.fget.__get__(instance, owner)()
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Saving duration: 0.248s
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.862s
saishf-merge-mayhem-l3-v2-v7-mkmlizer: creating bucket guanaco-reward-models
saishf-merge-mayhem-l3-v2-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
saishf-merge-mayhem-l3-v2-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/config.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/tokenizer_config.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/special_tokens_map.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/merges.txt
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/vocab.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/tokenizer.json
saishf-merge-mayhem-l3-v2-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-v7_reward/reward.tensors
Job saishf-merge-mayhem-l3-v2-v7-mkmlizer completed after 74.29s with status: succeeded
Stopping job with name saishf-merge-mayhem-l3-v2-v7-mkmlizer
Pipeline stage MKMLizer completed in 77.10s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service saishf-merge-mayhem-l3-v2-v7
Waiting for inference service saishf-merge-mayhem-l3-v2-v7 to be ready
Inference service saishf-merge-mayhem-l3-v2-v7 ready after 40.23388624191284s
Pipeline stage ISVCDeployer completed in 47.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3601667881011963s
Received healthy response to inference request in 1.3422889709472656s
Received healthy response to inference request in 1.3120765686035156s
Received healthy response to inference request in 1.2696526050567627s
Received healthy response to inference request in 1.356508731842041s
5 requests
0 failed requests
5th percentile: 1.2781373977661132
10th percentile: 1.2866221904754638
20th percentile: 1.303591775894165
30th percentile: 1.3181190490722656
40th percentile: 1.3302040100097656
50th percentile: 1.3422889709472656
60th percentile: 1.3479768753051757
70th percentile: 1.3536647796630858
80th percentile: 1.5572403430938722
90th percentile: 1.9587035655975342
95th percentile: 2.159435176849365
99th percentile: 2.32002046585083
mean time: 1.5281387329101563
Pipeline stage StressChecker completed in 8.24s
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
saishf-merge-mayhem-l3-v2_v7 status is now deployed due to DeploymentManager action
saishf-merge-mayhem-l3-v2_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of saishf-merge-mayhem-l3-v2_v7
Running pipeline stage ISVCDeleter
Checking if service saishf-merge-mayhem-l3-v2-v7 is running
Tearing down inference service saishf-merge-mayhem-l3-v2-v7
Toredown service saishf-merge-mayhem-l3-v2-v7
Pipeline stage ISVCDeleter completed in 4.56s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-v7/config.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.00s
saishf-merge-mayhem-l3-v2_v7 status is now torndown due to DeploymentManager action

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