submission_id: neversleep-noromaid-v0-_8068_v39
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] {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': '[/INST] {bot_name}: {message}', 'user_template': '[INST] {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: 2024-05-13T15:42:21+00:00
model_name: noromaid_correct_prompt_fixed
model_eval_status: success
model_group: NeverSleep/Noromaid-v0.1
num_battles: 14406
num_wins: 7347
celo_rating: 1174.7
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: noromaid_correct_prompt_fixed
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: 0.5099958350687214
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v39-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v39-mkmlizer to finish
neversleep-noromaid-v0-8068-v39-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ Version: 0.8.10 ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v39-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v39-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-v39-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v39-mkmlizer: Downloaded to shared memory in 126.343s
neversleep-noromaid-v0-8068-v39-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v39-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v39-mkmlizer: quantized model in 78.500s
neversleep-noromaid-v0-8068-v39-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 219.675s
neversleep-noromaid-v0-8068-v39-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v39-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v39-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/config.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/tokenizer.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/tokenizer_config.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/special_tokens_map.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/tokenizer.model
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v39/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v39-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
neversleep-noromaid-v0-8068-v39-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 11%|█ | 107/995 [00:01<00:15, 56.21it/s] Loading 0: 21%|██ | 210/995 [00:03<00:14, 55.75it/s] Loading 0: 21%|██ | 210/995 [00:13<00:14, 55.75it/s] Loading 0: 28%|██▊ | 278/995 [00:20<01:10, 10.11it/s] Loading 0: 32%|███▏ | 320/995 [00:21<00:55, 12.22it/s] Loading 0: 43%|████▎ | 423/995 [00:23<00:30, 19.01it/s] Loading 0: 53%|█████▎ | 526/995 [00:25<00:18, 25.79it/s] Loading 0: 53%|█████▎ | 526/995 [00:41<00:18, 25.79it/s] Loading 0: 57%|█████▋ | 565/995 [00:41<00:45, 9.54it/s] Loading 0: 58%|█████▊ | 581/995 [00:42<00:42, 9.77it/s] Loading 0: 64%|██████▍ | 636/995 [00:44<00:27, 12.89it/s] Loading 0: 74%|███████▍ | 739/995 [00:45<00:12, 19.86it/s] Loading 0: 74%|███████▍ | 739/995 [01:02<00:12, 19.86it/s] Loading 0: 85%|████████▌ | 846/995 [01:02<00:14, 10.60it/s] Loading 0: 85%|████████▌ | 849/995 [01:04<00:14, 10.10it/s] Loading 0: 96%|█████████▌| 952/995 [01:05<00:02, 15.91it/s] Loading 0: 100%|██████████| 995/995 [01:07<00:00, 17.77it/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-v39-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v39-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-v39-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v39-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-v39-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v39-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-v39-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v39-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v39-mkmlizer: Saving duration: 0.404s
neversleep-noromaid-v0-8068-v39-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.774s
neversleep-noromaid-v0-8068-v39-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v39-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v39-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/config.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/merges.txt
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/vocab.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/tokenizer.json
neversleep-noromaid-v0-8068-v39-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v39_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v39-mkmlizer completed after 269.38s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v39-mkmlizer
Pipeline stage MKMLizer completed in 272.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v39
Waiting for inference service neversleep-noromaid-v0-8068-v39 to be ready
Inference service neversleep-noromaid-v0-8068-v39 ready after 60.37873077392578s
Pipeline stage ISVCDeployer completed in 67.69s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1601922512054443s
Received healthy response to inference request in 2.321503162384033s
Received healthy response to inference request in 2.141550064086914s
Received healthy response to inference request in 2.0788776874542236s
Received healthy response to inference request in 2.077296018600464s
5 requests
0 failed requests
5th percentile: 2.077612352371216
10th percentile: 2.0779286861419677
20th percentile: 2.0785613536834715
30th percentile: 2.091412162780762
40th percentile: 2.1164811134338377
50th percentile: 2.141550064086914
60th percentile: 2.2135313034057615
70th percentile: 2.2855125427246095
80th percentile: 2.4892409801483155
90th percentile: 2.82471661567688
95th percentile: 2.992454433441162
99th percentile: 3.126644687652588
mean time: 2.355883836746216
Pipeline stage StressChecker completed in 12.45s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
neversleep-noromaid-v0-_8068_v39 status is now deployed due to DeploymentManager action
neversleep-noromaid-v0-_8068_v39 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of neversleep-noromaid-v0-_8068_v39
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v39 is running
Tearing down inference service neversleep-noromaid-v0-8068-v39
Toredown service neversleep-noromaid-v0-8068-v39
Pipeline stage ISVCDeleter completed in 4.73s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v39/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v39/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v39_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v39_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.48s
neversleep-noromaid-v0-_8068_v39 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics