submission_id: abx-ai-laymonade-7b_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: ABX-AI/Laymonade-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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}:'}
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}:'}
timestamp: 2024-04-02T16:03:11+00:00
model_name: auto_submit_ricum_peruselilo
model_eval_status: success
safety_score: 0.92
entertaining: 6.72
stay_in_character: 8.35
user_preference: 7.14
double_thumbs_up: 258
thumbs_up: 375
thumbs_down: 254
num_battles: 24831
num_wins: 10521
win_ratio: 0.4237042406669083
celo_rating: 1100.36
Resubmit model
Running pipeline stage MKMLizer
Starting job with name abx-ai-laymonade-7b-v2-mkmlizer
Waiting for job on abx-ai-laymonade-7b-v2-mkmlizer to finish
abx-ai-laymonade-7b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
abx-ai-laymonade-7b-v2-mkmlizer: ║ _____ __ __ ║
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abx-ai-laymonade-7b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ /___/ ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ Version: 0.6.11 ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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abx-ai-laymonade-7b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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abx-ai-laymonade-7b-v2-mkmlizer: ║ Chai Research Corp. ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
abx-ai-laymonade-7b-v2-mkmlizer: ║ ║
abx-ai-laymonade-7b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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abx-ai-laymonade-7b-v2-mkmlizer: Downloaded to shared memory in 45.541s
abx-ai-laymonade-7b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
abx-ai-laymonade-7b-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
abx-ai-laymonade-7b-v2-mkmlizer: Reading /tmp/tmp5i49b1j3/model.safetensors.index.json
abx-ai-laymonade-7b-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<01:52, 2.58it/s] Profiling: 6%|▌ | 18/291 [00:00<00:05, 47.61it/s] Profiling: 13%|█▎ | 38/291 [00:00<00:03, 73.50it/s] Profiling: 20%|█▉ | 58/291 [00:00<00:02, 102.99it/s] Profiling: 27%|██▋ | 80/291 [00:01<00:06, 34.32it/s] Profiling: 34%|███▍ | 100/291 [00:02<00:03, 48.50it/s] Profiling: 41%|████ | 120/291 [00:02<00:02, 60.44it/s] Profiling: 46%|████▌ | 133/291 [00:02<00:02, 66.15it/s] Profiling: 53%|█████▎ | 153/291 [00:02<00:01, 85.81it/s] Profiling: 58%|█████▊ | 168/291 [00:02<00:01, 90.52it/s] Profiling: 64%|██████▍ | 186/291 [00:02<00:00, 107.13it/s] Profiling: 69%|██████▉ | 201/291 [00:04<00:02, 32.37it/s] Profiling: 75%|███████▍ | 218/291 [00:04<00:01, 42.89it/s] Profiling: 81%|████████ | 235/291 [00:04<00:01, 52.89it/s] Profiling: 88%|████████▊ | 255/291 [00:04<00:00, 69.80it/s] Profiling: 96%|█████████▌| 278/291 [00:04<00:00, 85.36it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 61.77it/s]
abx-ai-laymonade-7b-v2-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
abx-ai-laymonade-7b-v2-mkmlizer: quantized model in 14.600s
abx-ai-laymonade-7b-v2-mkmlizer: Processed model ABX-AI/Laymonade-7B in 60.968s
abx-ai-laymonade-7b-v2-mkmlizer: creating bucket guanaco-mkml-models
abx-ai-laymonade-7b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
abx-ai-laymonade-7b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/config.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/added_tokens.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/tokenizer_config.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/special_tokens_map.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/tokenizer.model
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/tokenizer.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/abx-ai-laymonade-7b-v2/mkml_model.tensors
abx-ai-laymonade-7b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
abx-ai-laymonade-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
abx-ai-laymonade-7b-v2-mkmlizer: warnings.warn(
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abx-ai-laymonade-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
abx-ai-laymonade-7b-v2-mkmlizer: warnings.warn(
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abx-ai-laymonade-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
abx-ai-laymonade-7b-v2-mkmlizer: warnings.warn(
abx-ai-laymonade-7b-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:16, 84.8MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:09, 144MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:03, 415MB/s] pytorch_model.bin: 16%|█▌ | 231M/1.44G [00:00<00:02, 586MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:01, 708MB/s] pytorch_model.bin: 31%|███ | 451M/1.44G [00:01<00:02, 417MB/s] pytorch_model.bin: 43%|████▎ | 619M/1.44G [00:01<00:01, 646MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 282MB/s]
abx-ai-laymonade-7b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
abx-ai-laymonade-7b-v2-mkmlizer: Saving duration: 0.240s
abx-ai-laymonade-7b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.298s
abx-ai-laymonade-7b-v2-mkmlizer: creating bucket guanaco-reward-models
abx-ai-laymonade-7b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
abx-ai-laymonade-7b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/special_tokens_map.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/tokenizer_config.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/merges.txt
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/config.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/vocab.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/tokenizer.json
abx-ai-laymonade-7b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/abx-ai-laymonade-7b-v2_reward/reward.tensors
Job abx-ai-laymonade-7b-v2-mkmlizer completed after 86.2s with status: succeeded
Stopping job with name abx-ai-laymonade-7b-v2-mkmlizer
Pipeline stage MKMLizer completed in 87.14s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.16s
Running pipeline stage ISVCDeployer
Creating inference service abx-ai-laymonade-7b-v2
Waiting for inference service abx-ai-laymonade-7b-v2 to be ready
Inference service abx-ai-laymonade-7b-v2 ready after 50.71246671676636s
Pipeline stage ISVCDeployer completed in 56.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.1065301895141602s
Received healthy response to inference request in 0.5694477558135986s
Received healthy response to inference request in 0.9757745265960693s
Received healthy response to inference request in 0.5904245376586914s
Received healthy response to inference request in 0.976104736328125s
5 requests
0 failed requests
5th percentile: 0.5736431121826172
10th percentile: 0.5778384685516358
20th percentile: 0.5862291812896728
30th percentile: 0.667494535446167
40th percentile: 0.8216345310211182
50th percentile: 0.9757745265960693
60th percentile: 0.9759066104888916
70th percentile: 0.9760386943817139
80th percentile: 1.002189826965332
90th percentile: 1.0543600082397462
95th percentile: 1.0804450988769532
99th percentile: 1.1013131713867188
mean time: 0.843656349182129
Pipeline stage StressChecker completed in 5.01s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
abx-ai-laymonade-7b_v2 status is now deployed due to DeploymentManager action
abx-ai-laymonade-7b_v2 status is now inactive due to auto deactivation removed underperforming models

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