submission_id: neversleep-noromaid-v0-_8068_v40
developer_uid: Meliodia
status: torndown
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nPlay the role of {bot_name}. Engage in a chat with {user_name} while staying in character. You should create a fun dialogue which entertains {user_name}.\n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}', 'user_template': '{user_name}: {message} [/INST]', 'response_template': '{bot_name}:', '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: 2024-05-13T16:12:53+00:00
model_name: wb_special
model_eval_status: success
model_group: NeverSleep/Noromaid-v0.1
num_battles: 25288
num_wins: 12423
celo_rating: 1159.51
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: wb_special
ineligible_reason: propriety_total_count < 800
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-13
win_ratio: 0.49126067700094905
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v40-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v40-mkmlizer to finish
neversleep-noromaid-v0-8068-v40-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ Version: 0.8.10 ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v40-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v40-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.
neversleep-noromaid-v0-8068-v40-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v40-mkmlizer: Downloaded to shared memory in 72.843s
neversleep-noromaid-v0-8068-v40-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v40-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v40-mkmlizer: quantized model in 52.361s
neversleep-noromaid-v0-8068-v40-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 131.683s
neversleep-noromaid-v0-8068-v40-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v40-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v40-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/special_tokens_map.json
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/config.json
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/tokenizer.model
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/tokenizer_config.json
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/tokenizer.json
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v40/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v40-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
neversleep-noromaid-v0-8068-v40-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 11%|█ | 107/995 [00:01<00:15, 58.89it/s] Loading 0: 16%|█▋ | 162/995 [00:02<00:14, 56.99it/s] Loading 0: 27%|██▋ | 265/995 [00:04<00:13, 54.74it/s] Loading 0: 28%|██▊ | 278/995 [00:14<00:57, 12.47it/s] Loading 0: 32%|███▏ | 320/995 [00:15<00:43, 15.48it/s] Loading 0: 39%|███▉ | 388/995 [00:16<00:27, 22.39it/s] Loading 0: 48%|████▊ | 478/995 [00:18<00:17, 28.95it/s] Loading 0: 57%|█████▋ | 565/995 [00:28<00:27, 15.53it/s] Loading 0: 58%|█████▊ | 581/995 [00:29<00:26, 15.41it/s] Loading 0: 69%|██████▉ | 691/995 [00:31<00:12, 23.73it/s] Loading 0: 80%|███████▉ | 794/995 [00:32<00:06, 30.70it/s] Loading 0: 85%|████████▌ | 846/995 [00:42<00:09, 15.57it/s] Loading 0: 96%|█████████▌| 952/995 [00:45<00:02, 20.05it/s] Loading 0: 100%|██████████| 995/995 [00:46<00:00, 21.97it/s] /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.
neversleep-noromaid-v0-8068-v40-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v40-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.
neversleep-noromaid-v0-8068-v40-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v40-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.
neversleep-noromaid-v0-8068-v40-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v40-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()
neversleep-noromaid-v0-8068-v40-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v40-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v40-mkmlizer: Saving duration: 0.240s
neversleep-noromaid-v0-8068-v40-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 3.719s
neversleep-noromaid-v0-8068-v40-mkmlizer: creating bucket guanaco-reward-models
Job neversleep-noromaid-v0-8068-v40-mkmlizer completed after 175.74s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v40-mkmlizer
Pipeline stage MKMLizer completed in 179.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v40
Waiting for inference service neversleep-noromaid-v0-8068-v40 to be ready
Inference service neversleep-noromaid-v0-8068-v40 ready after 50.28194975852966s
Pipeline stage ISVCDeployer completed in 57.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.005042791366577s
Received healthy response to inference request in 2.2570548057556152s
Received healthy response to inference request in 2.2131385803222656s
Received healthy response to inference request in 2.206308126449585s
Received healthy response to inference request in 1.6617233753204346s
5 requests
0 failed requests
5th percentile: 1.7706403255462646
10th percentile: 1.8795572757720946
20th percentile: 2.0973911762237547
30th percentile: 2.2076742172241213
40th percentile: 2.2104063987731934
50th percentile: 2.2131385803222656
60th percentile: 2.2307050704956053
70th percentile: 2.2482715606689454
80th percentile: 2.406652402877808
90th percentile: 2.7058475971221925
95th percentile: 2.8554451942443846
99th percentile: 2.9751232719421385
mean time: 2.2686535358428954
Pipeline stage StressChecker completed in 11.99s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
neversleep-noromaid-v0-_8068_v40 status is now deployed due to DeploymentManager action
neversleep-noromaid-v0-_8068_v40 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-noromaid-v0-_8068_v40
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v40 is running
Tearing down inference service neversleep-noromaid-v0-8068-v40
Toredown service neversleep-noromaid-v0-8068-v40
Pipeline stage ISVCDeleter completed in 4.85s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v40/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v40/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v40_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v40_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.20s
neversleep-noromaid-v0-_8068_v40 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics