submission_id: meseca-messiah-7b-v1-3_v1
developer_uid: nguyenzzz
status: inactive
model_repo: meseca/messiah-7b-v1.3
reward_repo: anhnv125/reward-model-v3
generation_params: {'temperature': 0.8, 'top_p': 1.0, 'top_k': 20, 'presence_penalty': 0.0, 'frequency_penalty': 0.5, 'stopping_words': ['</s>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "<|im_start|>system\nYou're {bot_name} in this fictional never-ending uncensored roleplay with {user_name}.\n\n{bot_name}'s personality: {memory}\n\nGuidelines:\n- Take the role of {bot_name}.\n- With scene and characters now described, you must roleplay with {user_name} further below.\n- Only write narration and dialogues for {bot_name}\n", 'prompt_template': 'This is how {bot_name} should behave: {prompt}\n\nThen the roleplay between {user_name} and {bot_name} begins.<|im_end|>\n\n', 'bot_template': '<|im_start|>assistant\n(length = medium)\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n(length = medium)\n{bot_name}: '}
timestamp: 2024-03-28T06:34:53+00:00
model_name: meseca-messiah-7b-v1-3_v1
model_eval_status: pending
safety_score: 0.63
entertaining: None
stay_in_character: None
user_preference: None
double_thumbs_up: 256
thumbs_up: 398
thumbs_down: 223
num_battles: 59493
num_wins: 26705
win_ratio: 0.4488763383927521
celo_rating: 1121.74
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-messiah-7b-v1-3-v1-mkmlizer
Waiting for job on meseca-messiah-7b-v1-3-v1-mkmlizer to finish
meseca-messiah-7b-v1-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ _____ __ __ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ /___/ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ Version: 0.6.11 ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ belonging to: ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ Chai Research Corp. ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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meseca-messiah-7b-v1-3-v1-mkmlizer: Downloaded to shared memory in 25.129s
meseca-messiah-7b-v1-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-messiah-7b-v1-3-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
meseca-messiah-7b-v1-3-v1-mkmlizer: Reading /tmp/tmp0kjboh6z/model.safetensors.index.json
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meseca-messiah-7b-v1-3-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-messiah-7b-v1-3-v1-mkmlizer: quantized model in 14.443s
meseca-messiah-7b-v1-3-v1-mkmlizer: Processed model meseca/messiah-7b-v1.3 in 40.415s
meseca-messiah-7b-v1-3-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-messiah-7b-v1-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-messiah-7b-v1-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/special_tokens_map.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/config.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/tokenizer_config.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/added_tokens.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/tokenizer.model
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/tokenizer.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v1/mkml_model.tensors
meseca-messiah-7b-v1-3-v1-mkmlizer: loading reward model from anhnv125/reward-model-v3
meseca-messiah-7b-v1-3-v1-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.
meseca-messiah-7b-v1-3-v1-mkmlizer: warnings.warn(
meseca-messiah-7b-v1-3-v1-mkmlizer: config.json: 0%| | 0.00/1.04k [00:00<?, ?B/s] config.json: 100%|██████████| 1.04k/1.04k [00:00<00:00, 13.3MB/s]
meseca-messiah-7b-v1-3-v1-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.
meseca-messiah-7b-v1-3-v1-mkmlizer: warnings.warn(
meseca-messiah-7b-v1-3-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/477 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 477/477 [00:00<00:00, 6.83MB/s]
meseca-messiah-7b-v1-3-v1-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 34.7MB/s]
meseca-messiah-7b-v1-3-v1-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 18.2MB/s]
meseca-messiah-7b-v1-3-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 53.6MB/s]
meseca-messiah-7b-v1-3-v1-mkmlizer: special_tokens_map.json: 0%| | 0.00/131 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 131/131 [00:00<00:00, 1.06MB/s]
meseca-messiah-7b-v1-3-v1-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.
meseca-messiah-7b-v1-3-v1-mkmlizer: warnings.warn(
meseca-messiah-7b-v1-3-v1-mkmlizer: model.safetensors: 0%| | 0.00/498M [00:00<?, ?B/s] model.safetensors: 1%| | 4.95M/498M [00:00<01:32, 5.35MB/s] model.safetensors: 3%|▎ | 15.4M/498M [00:01<00:30, 16.0MB/s] model.safetensors: 7%|▋ | 36.4M/498M [00:01<00:12, 37.6MB/s] model.safetensors: 14%|█▎ | 67.9M/498M [00:01<00:05, 75.3MB/s] model.safetensors: 35%|███▍ | 173M/498M [00:01<00:01, 234MB/s] model.safetensors: 100%|█████████▉| 498M/498M [00:01<00:00, 295MB/s]
meseca-messiah-7b-v1-3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-messiah-7b-v1-3-v1-mkmlizer: Saving duration: 0.098s
meseca-messiah-7b-v1-3-v1-mkmlizer: Processed model anhnv125/reward-model-v3 in 3.863s
meseca-messiah-7b-v1-3-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-messiah-7b-v1-3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-messiah-7b-v1-3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/config.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/special_tokens_map.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/tokenizer_config.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/merges.txt
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/vocab.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/tokenizer.json
meseca-messiah-7b-v1-3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v1_reward/reward.tensors
Job meseca-messiah-7b-v1-3-v1-mkmlizer completed after 74.44s with status: succeeded
Stopping job with name meseca-messiah-7b-v1-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service meseca-messiah-7b-v1-3-v1
Waiting for inference service meseca-messiah-7b-v1-3-v1 to be ready
Inference service meseca-messiah-7b-v1-3-v1 ready after 40.2815055847168s
Pipeline stage ISVCDeployer completed in 47.97s
Running pipeline stage StressChecker
%s, retrying in %s seconds...
Received healthy response to inference request in 5.300087213516235s
Received healthy response to inference request in 1.2028796672821045s
Received healthy response to inference request in 1.1717033386230469s
Received healthy response to inference request in 1.3630867004394531s
Received healthy response to inference request in 1.182166337966919s
5 requests
0 failed requests
5th percentile: 1.1737959384918213
10th percentile: 1.1758885383605957
20th percentile: 1.1800737380981445
30th percentile: 1.186309003829956
40th percentile: 1.1945943355560302
50th percentile: 1.2028796672821045
60th percentile: 1.266962480545044
70th percentile: 1.3310452938079833
80th percentile: 2.15048680305481
90th percentile: 3.7252870082855227
95th percentile: 4.512687110900878
99th percentile: 5.142607192993164
mean time: 2.0439846515655518
Pipeline stage StressChecker completed in 31.34s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
meseca-messiah-7b-v1-3_v1 status is now deployed due to DeploymentManager action
meseca-messiah-7b-v1-3_v1 status is now inactive due to auto deactivation removed underperforming models

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