submission_id: hastagaras-llama-3-8b-okay_v12
developer_uid: Zioperaa
status: torndown
model_repo: Hastagaras/llama-3-8b-okay
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': ['\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\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': '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}
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: 2024-05-15T00:36:30+00:00
model_name: just-to-make-sure
model_eval_status: success
model_group: Hastagaras/llama-3-8b-ok
num_battles: 10944
num_wins: 6113
celo_rating: 1229.84
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: just-to-make-sure
ineligible_reason: max_output_tokens!=64
language_model: Hastagaras/llama-3-8b-okay
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-14
win_ratio: 0.5585709064327485
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama-3-8b-okay-v12-mkmlizer
Waiting for job on hastagaras-llama-3-8b-okay-v12-mkmlizer to finish
hastagaras-llama-3-8b-okay-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ /___/ ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ https://mk1.ai ║
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hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ The license key for the current software has been verified as ║
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hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ Chai Research Corp. ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ║ ║
hastagaras-llama-3-8b-okay-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama-3-8b-okay-v12-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.
hastagaras-llama-3-8b-okay-v12-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-llama-3-8b-okay-v12-mkmlizer: Downloaded to shared memory in 14.171s
hastagaras-llama-3-8b-okay-v12-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama-3-8b-okay-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama-3-8b-okay-v12-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:01, 192.43it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:01, 181.05it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:01, 201.38it/s] Loading 0: 29%|██▉ | 85/291 [00:00<00:02, 93.52it/s] Loading 0: 35%|███▌ | 102/291 [00:00<00:01, 105.13it/s] Loading 0: 41%|████ | 120/291 [00:00<00:01, 115.04it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 106.71it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 107.40it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:01, 122.27it/s] Loading 0: 63%|██████▎ | 184/291 [00:01<00:00, 136.09it/s] Loading 0: 68%|██████▊ | 199/291 [00:01<00:01, 83.31it/s] Loading 0: 76%|███████▌ | 220/291 [00:01<00:00, 104.34it/s] Loading 0: 82%|████████▏ | 239/291 [00:02<00:00, 119.57it/s] Loading 0: 91%|█████████ | 264/291 [00:02<00:00, 146.02it/s] Loading 0: 98%|█████████▊| 284/291 [00:02<00:00, 158.54it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama-3-8b-okay-v12-mkmlizer: quantized model in 17.416s
hastagaras-llama-3-8b-okay-v12-mkmlizer: Processed model Hastagaras/llama-3-8b-okay in 32.561s
hastagaras-llama-3-8b-okay-v12-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-llama-3-8b-okay-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-llama-3-8b-okay-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12/special_tokens_map.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12/config.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12/tokenizer_config.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12/tokenizer.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama-3-8b-okay-v12/flywheel_model.0.safetensors
hastagaras-llama-3-8b-okay-v12-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama-3-8b-okay-v12-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.
hastagaras-llama-3-8b-okay-v12-mkmlizer: warnings.warn(
hastagaras-llama-3-8b-okay-v12-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.
hastagaras-llama-3-8b-okay-v12-mkmlizer: warnings.warn(
hastagaras-llama-3-8b-okay-v12-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.
hastagaras-llama-3-8b-okay-v12-mkmlizer: warnings.warn(
hastagaras-llama-3-8b-okay-v12-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()
hastagaras-llama-3-8b-okay-v12-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-llama-3-8b-okay-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama-3-8b-okay-v12-mkmlizer: Saving duration: 0.230s
hastagaras-llama-3-8b-okay-v12-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 2.769s
hastagaras-llama-3-8b-okay-v12-mkmlizer: creating bucket guanaco-reward-models
hastagaras-llama-3-8b-okay-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-llama-3-8b-okay-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/config.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/tokenizer_config.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/special_tokens_map.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/vocab.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/merges.txt
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/tokenizer.json
hastagaras-llama-3-8b-okay-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama-3-8b-okay-v12_reward/reward.tensors
Job hastagaras-llama-3-8b-okay-v12-mkmlizer completed after 52.86s with status: succeeded
Stopping job with name hastagaras-llama-3-8b-okay-v12-mkmlizer
Pipeline stage MKMLizer completed in 57.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama-3-8b-okay-v12
Waiting for inference service hastagaras-llama-3-8b-okay-v12 to be ready
Inference service hastagaras-llama-3-8b-okay-v12 ready after 40.26496458053589s
Pipeline stage ISVCDeployer completed in 47.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.0039303302764893s
Received healthy response to inference request in 2.0106699466705322s
Received healthy response to inference request in 1.97575044631958s
Received healthy response to inference request in 2.034616231918335s
Received healthy response to inference request in 1.9858367443084717s
5 requests
0 failed requests
5th percentile: 1.9777677059173584
10th percentile: 1.9797849655151367
20th percentile: 1.9838194847106934
30th percentile: 1.9908033847808837
40th percentile: 2.000736665725708
50th percentile: 2.0106699466705322
60th percentile: 2.020248460769653
70th percentile: 2.0298269748687745
80th percentile: 2.228479051589966
90th percentile: 2.6162046909332277
95th percentile: 2.810067510604858
99th percentile: 2.965157766342163
mean time: 2.2021607398986816
Pipeline stage StressChecker completed in 11.67s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-llama-3-8b-okay_v12 status is now deployed due to DeploymentManager action
hastagaras-llama-3-8b-okay_v12 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-llama-3-8b-okay_v12
Running pipeline stage ISVCDeleter
Checking if service hastagaras-llama-3-8b-okay-v12 is running
Tearing down inference service hastagaras-llama-3-8b-okay-v12
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Toredown service hastagaras-llama-3-8b-okay-v12
Connection pool is full, discarding connection: %s
Pipeline stage ISVCDeleter completed in 3.83s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-llama-3-8b-okay-v12/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama-3-8b-okay-v12/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-llama-3-8b-okay-v12/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama-3-8b-okay-v12/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama-3-8b-okay-v12/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-llama-3-8b-okay-v12_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama-3-8b-okay-v12_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.09s
hastagaras-llama-3-8b-okay_v12 status is now torndown due to DeploymentManager action

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