submission_id: hastagaras-jamet-8b-l3-m_8630_v9
developer_uid: Hastagaras
best_of: 8
celo_rating: 1203.44
display_name: 8
family_friendly_score: 0.0
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}
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 65, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
model_name: 8
model_num_parameters: 8030261248.0
model_repo: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
model_size: 8B
num_battles: 21986
num_wins: 11459
ranking_group: single
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'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-14T20:29:24+00:00
us_pacific_date: 2024-06-14
win_ratio: 0.5211953061038843
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer to finish
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ https://mk1.ai ║
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hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ Chai Research Corp. ║
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-8630-v9-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-jamet-8b-l3-m-8630-v9-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Downloaded to shared memory in 26.645s
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 110.90it/s] Loading 0: 10%|█ | 30/291 [00:00<00:01, 138.75it/s] Loading 0: 15%|█▌ | 44/291 [00:00<00:01, 138.19it/s] Loading 0: 20%|██ | 59/291 [00:00<00:01, 138.46it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:01, 148.73it/s] Loading 0: 31%|███▏ | 91/291 [00:00<00:02, 77.99it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:02, 87.18it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:01, 104.54it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 118.30it/s] Loading 0: 54%|█████▍ | 158/291 [00:01<00:01, 129.06it/s] Loading 0: 62%|██████▏ | 179/291 [00:01<00:00, 146.00it/s] Loading 0: 67%|██████▋ | 195/291 [00:01<00:01, 84.98it/s] Loading 0: 73%|███████▎ | 211/291 [00:01<00:00, 97.88it/s] Loading 0: 79%|███████▊ | 229/291 [00:02<00:00, 110.98it/s] Loading 0: 85%|████████▍ | 247/291 [00:02<00:00, 121.83it/s] Loading 0: 91%|█████████ | 265/291 [00:02<00:00, 132.39it/s] Loading 0: 97%|█████████▋| 282/291 [00:02<00:00, 138.36it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: quantized model in 34.086s
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-Blackroot in 63.447s
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9/config.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9/tokenizer_config.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9/special_tokens_map.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9/tokenizer.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v9/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-8630-v9-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-jamet-8b-l3-m-8630-v9-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v9-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-jamet-8b-l3-m-8630-v9-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v9-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-jamet-8b-l3-m-8630-v9-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v9-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-jamet-8b-l3-m-8630-v9-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Saving duration: 0.427s
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.286s
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/config.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/merges.txt
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/vocab.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v9_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer completed after 93.56s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-8630-v9-mkmlizer
Pipeline stage MKMLizer completed in 96.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-8630-v9
Waiting for inference service hastagaras-jamet-8b-l3-m-8630-v9 to be ready
Inference service hastagaras-jamet-8b-l3-m-8630-v9 ready after 40.27830195426941s
Pipeline stage ISVCDeployer completed in 47.45s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9704911708831787s
Received healthy response to inference request in 1.2059316635131836s
Received healthy response to inference request in 1.1962261199951172s
Received healthy response to inference request in 1.1655693054199219s
Received healthy response to inference request in 1.1620497703552246s
5 requests
0 failed requests
5th percentile: 1.1627536773681642
10th percentile: 1.1634575843811035
20th percentile: 1.1648653984069823
30th percentile: 1.171700668334961
40th percentile: 1.1839633941650392
50th percentile: 1.1962261199951172
60th percentile: 1.2001083374023438
70th percentile: 1.2039905548095704
80th percentile: 1.3588435649871828
90th percentile: 1.6646673679351807
95th percentile: 1.8175792694091795
99th percentile: 1.939908790588379
mean time: 1.3400536060333252
Pipeline stage StressChecker completed in 7.33s
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-jamet-8b-l3-m_8630_v9 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-m_8630_v9 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-jamet-8b-l3-m_8630_v9
Running pipeline stage ISVCDeleter
Checking if service hastagaras-jamet-8b-l3-m-8630-v9 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.72s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-jamet-8b-l3-m-8630-v9/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-jamet-8b-l3-m-8630-v9_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.89s
hastagaras-jamet-8b-l3-m_8630_v9 status is now torndown due to DeploymentManager action