submission_id: hastagaras-l3-8b-dahlah_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/L3-8B-Dahlah
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.85, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 1.05, 'stopping_words': ['\n', '<|eot_id|>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|>### Instruction:\nIn this roleplay scenario, you will play the role of `{bot_name}`. Please respond as {bot_name} only, without deciding on `{user_name}'s` action or dialogue.\n\nYour persona as {bot_name}: {memory}\n\n", 'prompt_template': 'Your message example: {prompt}\n\n', 'bot_template': '### Response:\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n{user_name}: {message}\n\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
reward_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': False}
timestamp: 2024-05-08T07:11:38+00:00
model_name: hastagaras-l3-8b-dahlah_v1
model_eval_status: success
double_thumbs_up: 213
thumbs_up: 322
thumbs_down: 203
num_battles: 22107
num_wins: 10812
celo_rating: 1160.37
entertaining: 6.94
stay_in_character: 8.1
user_preference: 7.38
safety_score: 0.91
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-l3-8b-dahlah_v1
double_thumbs_up_ratio: 0.2886178861788618
feedback_count: 738
ineligible_reason: None
language_model: Hastagaras/L3-8B-Dahlah
model_score: 7.473333333333333
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4363143631436314
thumbs_down_ratio: 0.2750677506775068
thumbs_up_ratio: 0.7249322493224932
us_pacific_date: 2024-05-08
win_ratio: 0.4890758583254173
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-l3-8b-dahlah-v1-mkmlizer
Waiting for job on hastagaras-l3-8b-dahlah-v1-mkmlizer to finish
hastagaras-l3-8b-dahlah-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ _____ __ __ ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ /___/ ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ The license key for the current software has been verified as ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ belonging to: ║
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hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ Chai Research Corp. ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ║ ║
hastagaras-l3-8b-dahlah-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-l3-8b-dahlah-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.
hastagaras-l3-8b-dahlah-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-l3-8b-dahlah-v1-mkmlizer: Downloaded to shared memory in 27.529s
hastagaras-l3-8b-dahlah-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-l3-8b-dahlah-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-l3-8b-dahlah-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▍ | 100/291 [00:00<00:01, 100.07it/s] Loading 0: 70%|██████▉ | 203/291 [00:02<00:00, 101.43it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 31.04it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-l3-8b-dahlah-v1-mkmlizer: quantized model in 18.524s
hastagaras-l3-8b-dahlah-v1-mkmlizer: Processed model Hastagaras/L3-8B-Dahlah in 47.192s
hastagaras-l3-8b-dahlah-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-l3-8b-dahlah-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-l3-8b-dahlah-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1/tokenizer_config.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1/special_tokens_map.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1/config.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1/tokenizer.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-l3-8b-dahlah-v1/flywheel_model.0.safetensors
hastagaras-l3-8b-dahlah-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-l3-8b-dahlah-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.
hastagaras-l3-8b-dahlah-v1-mkmlizer: warnings.warn(
hastagaras-l3-8b-dahlah-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.
hastagaras-l3-8b-dahlah-v1-mkmlizer: warnings.warn(
hastagaras-l3-8b-dahlah-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.
hastagaras-l3-8b-dahlah-v1-mkmlizer: warnings.warn(
hastagaras-l3-8b-dahlah-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()
hastagaras-l3-8b-dahlah-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-l3-8b-dahlah-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-l3-8b-dahlah-v1-mkmlizer: Saving duration: 0.233s
hastagaras-l3-8b-dahlah-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.774s
hastagaras-l3-8b-dahlah-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-l3-8b-dahlah-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-l3-8b-dahlah-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/config.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/special_tokens_map.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/tokenizer_config.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/merges.txt
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/vocab.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/tokenizer.json
hastagaras-l3-8b-dahlah-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-l3-8b-dahlah-v1_reward/reward.tensors
Job hastagaras-l3-8b-dahlah-v1-mkmlizer completed after 73.2s with status: succeeded
Stopping job with name hastagaras-l3-8b-dahlah-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.54s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-l3-8b-dahlah-v1
Waiting for inference service hastagaras-l3-8b-dahlah-v1 to be ready
Inference service hastagaras-l3-8b-dahlah-v1 ready after 40.267269134521484s
Pipeline stage ISVCDeployer completed in 47.94s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.139385938644409s
Received healthy response to inference request in 1.0631136894226074s
Received healthy response to inference request in 1.2432329654693604s
Received healthy response to inference request in 1.060542345046997s
Received healthy response to inference request in 1.0242865085601807s
5 requests
0 failed requests
5th percentile: 1.0315376758575439
10th percentile: 1.0387888431549073
20th percentile: 1.0532911777496339
30th percentile: 1.0610566139221191
40th percentile: 1.0620851516723633
50th percentile: 1.0631136894226074
60th percentile: 1.1351613998413086
70th percentile: 1.2072091102600098
80th percentile: 1.4224635601043703
90th percentile: 1.7809247493743898
95th percentile: 1.9601553440093993
99th percentile: 2.1035398197174073
mean time: 1.306112289428711
Pipeline stage StressChecker completed in 7.14s
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
hastagaras-l3-8b-dahlah_v1 status is now deployed due to DeploymentManager action
hastagaras-l3-8b-dahlah_v1 status is now inactive due to auto deactivation removed underperforming models

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