submission_id: cgato-blopblip-l3-8b-v0-1-1_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1189.03
display_name: cgato-blopblip-l3-8b-v0-1-1_v2
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/BlopBlip-L3-8b-v0.1.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/BlopBlip-L3-8b-v0.
model_name: cgato-blopblip-l3-8b-v0-1-1_v2
model_num_parameters: 8030261248.0
model_repo: cgato/BlopBlip-L3-8b-v0.1.1
model_size: 8B
num_battles: 21953
num_wins: 10896
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-15T02:45:53+00:00
us_pacific_date: 2024-06-14
win_ratio: 0.4963330752061222
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer
Waiting for job on cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer to finish
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ _____ __ __ ║
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cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ /___/ ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ https://mk1.ai ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ ║
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cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ belonging to: ║
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cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ║ ║
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-blopblip-l3-8b-v0-1-1-v2-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.
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Downloaded to shared memory in 17.586s
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 137.55it/s] Loading 0: 11%|█ | 32/291 [00:00<00:01, 154.89it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:01, 158.69it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:01, 162.50it/s] Loading 0: 29%|██▉ | 85/291 [00:00<00:02, 83.52it/s] Loading 0: 35%|███▌ | 103/291 [00:00<00:01, 100.91it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:01, 116.27it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 128.15it/s] Loading 0: 54%|█████▍ | 157/291 [00:01<00:00, 136.31it/s] Loading 0: 60%|██████ | 175/291 [00:01<00:00, 146.52it/s] Loading 0: 66%|██████▌ | 192/291 [00:01<00:01, 90.58it/s] Loading 0: 72%|███████▏ | 210/291 [00:01<00:00, 105.30it/s] Loading 0: 78%|███████▊ | 228/291 [00:01<00:00, 119.47it/s] Loading 0: 85%|████████▍ | 246/291 [00:02<00:00, 131.17it/s] Loading 0: 91%|█████████ | 264/291 [00:02<00:00, 140.71it/s] Loading 0: 97%|█████████▋| 281/291 [00:02<00:00, 144.36it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: quantized model in 22.687s
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Processed model cgato/BlopBlip-L3-8b-v0.1.1 in 42.841s
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2/config.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2/tokenizer_config.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2/special_tokens_map.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2/tokenizer.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-blopblip-l3-8b-v0-1-1-v2/flywheel_model.0.safetensors
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-blopblip-l3-8b-v0-1-1-v2-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.
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: warnings.warn(
cgato-blopblip-l3-8b-v0-1-1-v2-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.
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: warnings.warn(
cgato-blopblip-l3-8b-v0-1-1-v2-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.
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: warnings.warn(
cgato-blopblip-l3-8b-v0-1-1-v2-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()
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Saving duration: 0.398s
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.832s
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/special_tokens_map.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/vocab.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/config.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/tokenizer.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/tokenizer_config.json
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/merges.txt
cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-blopblip-l3-8b-v0-1-1-v2_reward/reward.tensors
Job cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer completed after 73.71s with status: succeeded
Stopping job with name cgato-blopblip-l3-8b-v0-1-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 76.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-blopblip-l3-8b-v0-1-1-v2
Waiting for inference service cgato-blopblip-l3-8b-v0-1-1-v2 to be ready
Inference service cgato-blopblip-l3-8b-v0-1-1-v2 ready after 50.35381841659546s
Pipeline stage ISVCDeployer completed in 57.16s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.120793104171753s
Received healthy response to inference request in 1.2190032005310059s
Received healthy response to inference request in 1.2344951629638672s
Received healthy response to inference request in 1.2355594635009766s
Received healthy response to inference request in 1.2442591190338135s
5 requests
0 failed requests
5th percentile: 1.222101593017578
10th percentile: 1.2251999855041504
20th percentile: 1.231396770477295
30th percentile: 1.234708023071289
40th percentile: 1.235133743286133
50th percentile: 1.2355594635009766
60th percentile: 1.2390393257141112
70th percentile: 1.2425191879272461
80th percentile: 1.4195659160614016
90th percentile: 1.7701795101165771
95th percentile: 1.9454863071441648
99th percentile: 2.0857317447662354
mean time: 1.4108220100402833
Pipeline stage StressChecker completed in 7.61s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cgato-blopblip-l3-8b-v0-1-1_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-blopblip-l3-8b-v0-1-1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-blopblip-l3-8b-v0-1-1_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-blopblip-l3-8b-v0-1-1-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.23s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-blopblip-l3-8b-v0-1-1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.40s
cgato-blopblip-l3-8b-v0-1-1_v2 status is now torndown due to DeploymentManager action