r136a1-maido-2x8b-l3

developer_uid: R136a1

submission_id: r136a1-maido-2x8b-l3_v1

model_name: r136a1-maido-2x8b-l3_v1

model_group: R136a1/Maido-2x8B-L3

status: torndown

timestamp: 2024-06-25T07:14:35+00:00

num_battles: 11269

num_wins: 5989

celo_rating: 1202.42

family_friendly_score: 0.0

submission_type: basic

model_repo: R136a1/Maido-2x8B-L3

model_architecture: MixtralForCausalLM

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

model_num_parameters: 13667667968.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

display_name: r136a1-maido-2x8b-l3_v1

is_internal_developer: False

language_model: R136a1/Maido-2x8B-L3

model_size: 14B

ranking_group: single

us_pacific_date: 2024-06-25

win_ratio: 0.5314579820747183

generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.075, 'top_k': 70, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name r136a1-maido-2x8b-l3-v1-mkmlizer
Waiting for job on r136a1-maido-2x8b-l3-v1-mkmlizer to finish
r136a1-maido-2x8b-l3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
r136a1-maido-2x8b-l3-v1-mkmlizer: ║     _____            __           __                                ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║       /___/                                                         ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║                                                                     ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║                                                                     ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  belonging to:                                                      ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║                                                                     ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ║                                                                     ║
r136a1-maido-2x8b-l3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
r136a1-maido-2x8b-l3-v1-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.
r136a1-maido-2x8b-l3-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
r136a1-maido-2x8b-l3-v1-mkmlizer: Downloaded to shared memory in 46.532s
r136a1-maido-2x8b-l3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
r136a1-maido-2x8b-l3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
r136a1-maido-2x8b-l3-v1-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
r136a1-maido-2x8b-l3-v1-mkmlizer: quantized model in 33.177s
r136a1-maido-2x8b-l3-v1-mkmlizer: Processed model R136a1/Maido-2x8B-L3 in 84.150s
r136a1-maido-2x8b-l3-v1-mkmlizer: creating bucket guanaco-mkml-models
r136a1-maido-2x8b-l3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
r136a1-maido-2x8b-l3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/tokenizer_config.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/config.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/special_tokens_map.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/tokenizer.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/flywheel_model.1.safetensors
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/r136a1-maido-2x8b-l3-v1/flywheel_model.0.safetensors
r136a1-maido-2x8b-l3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
r136a1-maido-2x8b-l3-v1-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.
r136a1-maido-2x8b-l3-v1-mkmlizer:   warnings.warn(
r136a1-maido-2x8b-l3-v1-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.
r136a1-maido-2x8b-l3-v1-mkmlizer:   warnings.warn(
r136a1-maido-2x8b-l3-v1-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.
r136a1-maido-2x8b-l3-v1-mkmlizer:   warnings.warn(
r136a1-maido-2x8b-l3-v1-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()
r136a1-maido-2x8b-l3-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
r136a1-maido-2x8b-l3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
r136a1-maido-2x8b-l3-v1-mkmlizer: Saving duration: 0.434s
r136a1-maido-2x8b-l3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.647s
r136a1-maido-2x8b-l3-v1-mkmlizer: creating bucket guanaco-reward-models
r136a1-maido-2x8b-l3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
r136a1-maido-2x8b-l3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/config.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/special_tokens_map.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/tokenizer_config.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/merges.txt
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/vocab.json
r136a1-maido-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/r136a1-maido-2x8b-l3-v1_reward/tokenizer.json
Job r136a1-maido-2x8b-l3-v1-mkmlizer completed after 114.68s with status: succeeded
Stopping job with name r136a1-maido-2x8b-l3-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.12s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.16s
Running pipeline stage ISVCDeployer
Creating inference service r136a1-maido-2x8b-l3-v1
Waiting for inference service r136a1-maido-2x8b-l3-v1 to be ready
Inference service r136a1-maido-2x8b-l3-v1 ready after 50.25626254081726s
Pipeline stage ISVCDeployer completed in 56.16s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.0314810276031494s
Received healthy response to inference request in 2.1147665977478027s
Received healthy response to inference request in 2.1197092533111572s
Received healthy response to inference request in 2.1180057525634766s
Received healthy response to inference request in 2.0258073806762695s
5 requests
0 failed requests
5th percentile: 2.0435992240905763
10th percentile: 2.061391067504883
20th percentile: 2.096974754333496
30th percentile: 2.1154144287109373
40th percentile: 2.116710090637207
50th percentile: 2.1180057525634766
60th percentile: 2.118687152862549
70th percentile: 2.119368553161621
80th percentile: 2.302063608169556
90th percentile: 2.6667723178863527
95th percentile: 2.8491266727447506
99th percentile: 2.9950101566314697
mean time: 2.2819540023803713
Pipeline stage StressChecker completed in 12.25s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
r136a1-maido-2x8b-l3_v1 status is now deployed due to DeploymentManager action
r136a1-maido-2x8b-l3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of r136a1-maido-2x8b-l3_v1
Running pipeline stage ISVCDeleter
Checking if service r136a1-maido-2x8b-l3-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.62s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key r136a1-maido-2x8b-l3-v1/config.json from bucket guanaco-mkml-models
Deleting key r136a1-maido-2x8b-l3-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key r136a1-maido-2x8b-l3-v1/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key r136a1-maido-2x8b-l3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key r136a1-maido-2x8b-l3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key r136a1-maido-2x8b-l3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key r136a1-maido-2x8b-l3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key r136a1-maido-2x8b-l3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.71s
r136a1-maido-2x8b-l3_v1 status is now torndown due to DeploymentManager action