neversleep-noromaid-v0_8068

developer_uid: robert_irvine

submission_id: neversleep-noromaid-v0_8068_v105

model_name: neversleep-noromaid-v0_8068_v105

model_group: NeverSleep/Noromaid-v0.1

status: torndown

timestamp: 2024-07-02T02:58:58+00:00

num_battles: 11174

num_wins: 4726

celo_rating: 1119.78

family_friendly_score: 0.0

submission_type: basic

model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3

model_architecture: MixtralForCausalLM

reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2

model_num_parameters: 46702792704.0

best_of: 4

max_input_tokens: 512

max_output_tokens: 64

display_name: neversleep-noromaid-v0_8068_v105

is_internal_developer: True

language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3

model_size: 47B

ranking_group: single

us_pacific_date: 2024-07-01

win_ratio: 0.4229461249328799

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': ['</s>', '<|user|>', '###', '\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': '<s>[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}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '[INST] describe the scene [/INST]{bot_name}:', 'truncate_by_message': False}

reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v105-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v105-mkmlizer to finish
neversleep-noromaid-v0-8068-v105-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v105-mkmlizer: ║     _____            __           __                                ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║       /___/                                                         ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  Version: 0.8.14                                                    ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  https://mk1.ai                                                     ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  The license key for the current software has been verified as      ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  belonging to:                                                      ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  Chai Research Corp.                                                ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ║                                                                     ║
neversleep-noromaid-v0-8068-v105-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v105-mkmlizer: quantized model in 83.599s
neversleep-noromaid-v0-8068-v105-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 192.664s
neversleep-noromaid-v0-8068-v105-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v105-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v105-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/special_tokens_map.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/tokenizer_config.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/config.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/tokenizer.model
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/tokenizer.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v105/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v105-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
neversleep-noromaid-v0-8068-v105-mkmlizer: 
Loading 0:   0%|          | 0/995 [00:00<?, ?it/s]
Loading 0:   5%|▌         | 52/995 [00:01<00:22, 42.54it/s]
Loading 0:  11%|█         | 107/995 [00:02<00:19, 44.59it/s]
Loading 0:  16%|█▋        | 162/995 [00:03<00:18, 44.10it/s]
Loading 0:  21%|██        | 210/995 [00:04<00:18, 42.83it/s]
Loading 0:  27%|██▋       | 265/995 [00:05<00:16, 45.18it/s]
Loading 0:  28%|██▊       | 277/995 [00:22<00:15, 45.18it/s]
Loading 0:  28%|██▊       | 278/995 [00:22<01:55,  6.19it/s]
Loading 0:  32%|███▏      | 320/995 [00:23<01:19,  8.54it/s]
Loading 0:  37%|███▋      | 368/995 [00:24<00:52, 11.98it/s]
Loading 0:  43%|████▎     | 423/995 [00:25<00:34, 16.59it/s]
Loading 0:  48%|████▊     | 478/995 [00:27<00:24, 21.43it/s]
Loading 0:  53%|█████▎    | 526/995 [00:28<00:18, 25.07it/s]
Loading 0:  57%|█████▋    | 564/995 [00:44<00:17, 25.07it/s]
Loading 0:  57%|█████▋    | 565/995 [00:44<01:00,  7.14it/s]
Loading 0:  58%|█████▊    | 581/995 [00:46<00:55,  7.52it/s]
Loading 0:  64%|██████▍   | 636/995 [00:47<00:31, 11.29it/s]
Loading 0:  69%|██████▉   | 691/995 [00:48<00:19, 15.57it/s]
Loading 0:  74%|███████▍  | 739/995 [00:49<00:13, 19.48it/s]
Loading 0:  80%|███████▉  | 794/995 [00:50<00:08, 24.54it/s]
Loading 0:  85%|████████▍ | 845/995 [01:07<00:06, 24.54it/s]
Loading 0:  85%|████████▌ | 846/995 [01:07<00:19,  7.77it/s]
Loading 0:  85%|████████▌ | 849/995 [01:08<00:20,  7.26it/s]
Loading 0:  90%|█████████ | 897/995 [01:10<00:09, 10.12it/s]
Loading 0:  96%|█████████▌| 952/995 [01:11<00:02, 14.36it/s]
Loading 0: 100%|██████████| 995/995 [01:12<00:00, 17.30it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v105-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v105-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
neversleep-noromaid-v0-8068-v105-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v105-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
neversleep-noromaid-v0-8068-v105-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v105-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-v105-mkmlizer:   warnings.warn(
neversleep-noromaid-v0-8068-v105-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-v105-mkmlizer:   return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v105-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v105-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v105-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/config.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/merges.txt
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/vocab.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/tokenizer.json
neversleep-noromaid-v0-8068-v105-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v105_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v105-mkmlizer completed after 237.62s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v105-mkmlizer
Pipeline stage MKMLizer completed in 238.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v105
Waiting for inference service neversleep-noromaid-v0-8068-v105 to be ready
Inference service neversleep-noromaid-v0-8068-v105 ready after 120.53569602966309s
Pipeline stage ISVCDeployer completed in 127.53s
Running pipeline stage StressChecker
Failed to get response for submission mistralai-mixtral-8x7b-_3473_v33: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:60662->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 5.931465148925781s
Received healthy response to inference request in 13.561484098434448s
Received healthy response to inference request in 2.4315383434295654s
Received healthy response to inference request in 2.3805336952209473s
Received healthy response to inference request in 2.3906314373016357s
5 requests
0 failed requests
5th percentile: 2.382553243637085
10th percentile: 2.3845727920532225
20th percentile: 2.388611888885498
30th percentile: 2.3988128185272215
40th percentile: 2.4151755809783935
50th percentile: 2.4315383434295654
60th percentile: 3.8315090656280515
70th percentile: 5.2314797878265376
80th percentile: 7.457468938827516
90th percentile: 10.509476518630983
95th percentile: 12.035480308532714
99th percentile: 13.256283340454102
mean time: 5.339130544662476
%s, retrying in %s seconds...
Received healthy response to inference request in 2.4351680278778076s
Received healthy response to inference request in 2.440803050994873s
Received healthy response to inference request in 2.464014768600464s
Received healthy response to inference request in 2.429478883743286s
Received healthy response to inference request in 2.43485689163208s
5 requests
0 failed requests
5th percentile: 2.430554485321045
10th percentile: 2.431630086898804
20th percentile: 2.433781290054321
30th percentile: 2.4349191188812256
40th percentile: 2.4350435733795166
50th percentile: 2.4351680278778076
60th percentile: 2.437422037124634
70th percentile: 2.43967604637146
80th percentile: 2.4454453945159913
90th percentile: 2.4547300815582274
95th percentile: 2.4593724250793456
99th percentile: 2.4630862998962404
mean time: 2.440864324569702
Pipeline stage StressChecker completed in 40.26s
neversleep-noromaid-v0_8068_v105 status is now deployed due to DeploymentManager action
neversleep-noromaid-v0_8068_v105 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-noromaid-v0_8068_v105
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v105 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.01s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v105/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v105/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v105_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v105_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.59s
neversleep-noromaid-v0_8068_v105 status is now torndown due to DeploymentManager action