submission_id: saishf-merge-mayhem-l3-v2-1_v5
developer_uid: saishf
status: torndown
model_repo: saishf/Merge-Mayhem-L3-V2.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.2, '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: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-05-12T16:36:25+00:00
model_name: saishf-merge-mayhem-l3-v2-1_v2
model_eval_status: success
model_group: saishf/Merge-Mayhem-L3-V
num_battles: 9821
num_wins: 5210
celo_rating: 1191.62
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-v2-1_v2
ineligible_reason: propriety_total_count < 800
language_model: saishf/Merge-Mayhem-L3-V2.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-12
win_ratio: 0.530495876183688
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name saishf-merge-mayhem-l3-v2-1-v5-mkmlizer
Waiting for job on saishf-merge-mayhem-l3-v2-1-v5-mkmlizer to finish
Stopping job with name saishf-merge-mayhem-l3-v2-1-v5-mkmlizer
%s, retrying in %s seconds...
Starting job with name saishf-merge-mayhem-l3-v2-1-v5-mkmlizer
Waiting for job on saishf-merge-mayhem-l3-v2-1-v5-mkmlizer to finish
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ _____ __ __ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ /___/ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ Version: 0.8.10 ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ The license key for the current software has been verified as ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ belonging to: ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ Chai Research Corp. ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ║ ║
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
saishf-merge-mayhem-l3-v2-1-v5-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-v2-1-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Downloaded to shared memory in 13.228s
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: quantizing model to /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:50, 2.04s/it] Loading 0: 42%|████▏ | 122/291 [00:05<00:05, 29.77it/s] Loading 0: 94%|█████████▍| 274/291 [00:06<00:00, 61.36it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: quantized model in 17.488s
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Processed model saishf/Merge-Mayhem-L3-V2.1 in 31.799s
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: creating bucket guanaco-mkml-models
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5/tokenizer_config.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5/special_tokens_map.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5/config.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5/tokenizer.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/saishf-merge-mayhem-l3-v2-1-v5/flywheel_model.0.safetensors
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
saishf-merge-mayhem-l3-v2-1-v5-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-v2-1-v5-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-1-v5-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-v2-1-v5-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-1-v5-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-v2-1-v5-mkmlizer: warnings.warn(
saishf-merge-mayhem-l3-v2-1-v5-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-v2-1-v5-mkmlizer: return self.fget.__get__(instance, owner)()
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Saving duration: 0.237s
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.024s
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: creating bucket guanaco-reward-models
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/config.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/special_tokens_map.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/tokenizer_config.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/merges.txt
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/vocab.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/tokenizer.json
saishf-merge-mayhem-l3-v2-1-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/saishf-merge-mayhem-l3-v2-1-v5_reward/reward.tensors
Job saishf-merge-mayhem-l3-v2-1-v5-mkmlizer completed after 94.3s with status: succeeded
Stopping job with name saishf-merge-mayhem-l3-v2-1-v5-mkmlizer
Pipeline stage MKMLizer completed in 97.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service saishf-merge-mayhem-l3-v2-1-v5
Waiting for inference service saishf-merge-mayhem-l3-v2-1-v5 to be ready
Inference service saishf-merge-mayhem-l3-v2-1-v5 ready after 30.172747135162354s
Pipeline stage ISVCDeployer completed in 37.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1794824600219727s
Received healthy response to inference request in 1.3128783702850342s
Received healthy response to inference request in 1.293065071105957s
Received healthy response to inference request in 1.2431731224060059s
Received healthy response to inference request in 1.3329401016235352s
5 requests
0 failed requests
5th percentile: 1.2531515121459962
10th percentile: 1.2631299018859863
20th percentile: 1.2830866813659667
30th percentile: 1.2970277309417724
40th percentile: 1.3049530506134033
50th percentile: 1.3128783702850342
60th percentile: 1.3209030628204346
70th percentile: 1.328927755355835
80th percentile: 1.502248573303223
90th percentile: 1.8408655166625978
95th percentile: 2.010173988342285
99th percentile: 2.145620765686035
mean time: 1.4723078250885009
Pipeline stage StressChecker completed in 7.96s
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
saishf-merge-mayhem-l3-v2-1_v5 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
saishf-merge-mayhem-l3-v2-1_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of saishf-merge-mayhem-l3-v2-1_v5
Running pipeline stage ISVCDeleter
Checking if service saishf-merge-mayhem-l3-v2-1-v5 is running
Tearing down inference service saishf-merge-mayhem-l3-v2-1-v5
Toredown service saishf-merge-mayhem-l3-v2-1-v5
Pipeline stage ISVCDeleter completed in 3.70s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-1-v5/config.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key saishf-merge-mayhem-l3-v2-1-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.77s
saishf-merge-mayhem-l3-v2-1_v5 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics