submission_id: vagosolutions-llama-3-sa_9369_v1
developer_uid: Meliodia
status: inactive
model_repo: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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: 2024-04-29T19:11:39+00:00
model_name: Llama-3-SauerkrautLM-8b
model_eval_status: success
double_thumbs_up: 104
thumbs_up: 142
thumbs_down: 63
num_battles: 7404
num_wins: 3933
celo_rating: 1179.91
entertaining: 7.16
stay_in_character: 8.62
user_preference: 7.7
safety_score: 0.96
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: Llama-3-SauerkrautLM-8b
double_thumbs_up_ratio: 0.3365695792880259
feedback_count: 309
ineligible_reason: None
language_model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
model_score: 7.826666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.459546925566343
thumbs_down_ratio: 0.20388349514563106
thumbs_up_ratio: 0.7961165048543689
us_pacific_date: 2024-04-29
win_ratio: 0.5311993517017828
Resubmit model
Running pipeline stage MKMLizer
Starting job with name vagosolutions-llama-3-sa-9369-v1-mkmlizer
Waiting for job on vagosolutions-llama-3-sa-9369-v1-mkmlizer to finish
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ /___/ ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ Version: 0.8.10 ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ belonging to: ║
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vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ Chai Research Corp. ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ║ ║
vagosolutions-llama-3-sa-9369-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
vagosolutions-llama-3-sa-9369-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.
vagosolutions-llama-3-sa-9369-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Downloaded to shared memory in 26.149s
vagosolutions-llama-3-sa-9369-v1-mkmlizer: quantizing model to /dev/shm/model_cache
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 44%|████▍ | 129/291 [00:01<00:01, 128.74it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 127.27it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 29.43it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
vagosolutions-llama-3-sa-9369-v1-mkmlizer: quantized model in 17.560s
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Processed model VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct in 44.715s
vagosolutions-llama-3-sa-9369-v1-mkmlizer: creating bucket guanaco-mkml-models
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
vagosolutions-llama-3-sa-9369-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1/special_tokens_map.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1/config.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1/tokenizer_config.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1/tokenizer.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/vagosolutions-llama-3-sa-9369-v1/flywheel_model.0.safetensors
vagosolutions-llama-3-sa-9369-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
vagosolutions-llama-3-sa-9369-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.
vagosolutions-llama-3-sa-9369-v1-mkmlizer: warnings.warn(
vagosolutions-llama-3-sa-9369-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.
vagosolutions-llama-3-sa-9369-v1-mkmlizer: warnings.warn(
vagosolutions-llama-3-sa-9369-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.
vagosolutions-llama-3-sa-9369-v1-mkmlizer: warnings.warn(
vagosolutions-llama-3-sa-9369-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()
vagosolutions-llama-3-sa-9369-v1-mkmlizer: return self.fget.__get__(instance, owner)()
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Saving duration: 0.283s
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.558s
vagosolutions-llama-3-sa-9369-v1-mkmlizer: creating bucket guanaco-reward-models
vagosolutions-llama-3-sa-9369-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
vagosolutions-llama-3-sa-9369-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/special_tokens_map.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/tokenizer_config.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/merges.txt
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/config.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/vocab.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/tokenizer.json
vagosolutions-llama-3-sa-9369-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/vagosolutions-llama-3-sa-9369-v1_reward/reward.tensors
Job vagosolutions-llama-3-sa-9369-v1-mkmlizer completed after 73.47s with status: succeeded
Stopping job with name vagosolutions-llama-3-sa-9369-v1-mkmlizer
Pipeline stage MKMLizer completed in 77.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service vagosolutions-llama-3-sa-9369-v1
Waiting for inference service vagosolutions-llama-3-sa-9369-v1 to be ready
Inference service vagosolutions-llama-3-sa-9369-v1 ready after 30.173502922058105s
Pipeline stage ISVCDeployer completed in 37.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1090633869171143s
Received healthy response to inference request in 1.2704687118530273s
Received healthy response to inference request in 1.2343335151672363s
Received healthy response to inference request in 1.2201769351959229s
Received healthy response to inference request in 1.2302908897399902s
5 requests
0 failed requests
5th percentile: 1.2221997261047364
10th percentile: 1.22422251701355
20th percentile: 1.2282680988311767
30th percentile: 1.2310994148254395
40th percentile: 1.2327164649963378
50th percentile: 1.2343335151672363
60th percentile: 1.2487875938415527
70th percentile: 1.263241672515869
80th percentile: 1.438187646865845
90th percentile: 1.7736255168914796
95th percentile: 1.9413444519042966
99th percentile: 2.075519599914551
mean time: 1.4128666877746583
Pipeline stage StressChecker completed in 7.75s
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
vagosolutions-llama-3-sa_9369_v1 status is now deployed due to DeploymentManager action
vagosolutions-llama-3-sa_9369_v1 status is now inactive due to auto deactivation removed underperforming models

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