submission_id: meseca-messiah-7b-v1-3_v3
developer_uid: nguyenzzz
status: torndown
model_repo: meseca/messiah-7b-v1.3
reward_repo: anhnv125/reward-model-v3
generation_params: {'temperature': 0.8, 'top_p': 1.0, 'min_p': 0.0, '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 = massive)\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 = massive)\n{bot_name}: ', 'truncate_by_message': False}
timestamp: 2024-03-28T07:26:22+00:00
model_name: meseca-messiah-7b-v1-3_v3
model_eval_status: success
model_group: meseca/messiah-7b-v1.3
num_battles: 59209
num_wins: 26855
celo_rating: 1125.05
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241994240.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: meseca-messiah-7b-v1-3_v3
ineligible_reason: propriety_total_count < 800
language_model: meseca/messiah-7b-v1.3
model_size: 7B
reward_model: anhnv125/reward-model-v3
us_pacific_date: 2024-03-28
win_ratio: 0.4535628029522539
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-messiah-7b-v1-3-v3-mkmlizer
Waiting for job on meseca-messiah-7b-v1-3-v3-mkmlizer to finish
meseca-messiah-7b-v1-3-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ _____ __ __ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ /___/ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ Version: 0.6.11 ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ The license key for the current software has been verified as ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ belonging to: ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ Chai Research Corp. ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ║ ║
meseca-messiah-7b-v1-3-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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meseca-messiah-7b-v1-3-v3-mkmlizer: Downloaded to shared memory in 14.552s
meseca-messiah-7b-v1-3-v3-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-messiah-7b-v1-3-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
meseca-messiah-7b-v1-3-v3-mkmlizer: Reading /tmp/tmpktmv5zbs/model.safetensors.index.json
meseca-messiah-7b-v1-3-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:24, 1.33s/it] Profiling: 7%|▋ | 20/291 [00:01<00:14, 19.13it/s] Profiling: 13%|█▎ | 39/291 [00:01<00:06, 39.90it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 68.72it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 89.70it/s] Profiling: 35%|███▍ | 101/291 [00:02<00:02, 80.74it/s] Profiling: 42%|████▏ | 121/291 [00:02<00:01, 99.96it/s] Profiling: 48%|████▊ | 139/291 [00:02<00:01, 111.78it/s] Profiling: 54%|█████▎ | 156/291 [00:02<00:01, 122.43it/s] Profiling: 59%|█████▉ | 172/291 [00:02<00:00, 119.89it/s] Profiling: 64%|██████▍ | 187/291 [00:02<00:00, 123.68it/s] Profiling: 70%|███████ | 204/291 [00:04<00:02, 31.34it/s] Profiling: 76%|███████▌ | 221/291 [00:04<00:01, 41.68it/s] Profiling: 82%|████████▏ | 240/291 [00:04<00:00, 55.79it/s] Profiling: 91%|█████████ | 265/291 [00:04<00:00, 78.49it/s] Profiling: 98%|█████████▊| 285/291 [00:04<00:00, 94.57it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.23it/s]
meseca-messiah-7b-v1-3-v3-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-v3-mkmlizer: quantized model in 14.462s
meseca-messiah-7b-v1-3-v3-mkmlizer: Processed model meseca/messiah-7b-v1.3 in 29.867s
meseca-messiah-7b-v1-3-v3-mkmlizer: creating bucket guanaco-mkml-models
meseca-messiah-7b-v1-3-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-messiah-7b-v1-3-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/config.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/added_tokens.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/tokenizer.model
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/tokenizer_config.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/special_tokens_map.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/tokenizer.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/meseca-messiah-7b-v1-3-v3/mkml_model.tensors
meseca-messiah-7b-v1-3-v3-mkmlizer: loading reward model from anhnv125/reward-model-v3
meseca-messiah-7b-v1-3-v3-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-v3-mkmlizer: warnings.warn(
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meseca-messiah-7b-v1-3-v3-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-v3-mkmlizer: warnings.warn(
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meseca-messiah-7b-v1-3-v3-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-v3-mkmlizer: warnings.warn(
meseca-messiah-7b-v1-3-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-messiah-7b-v1-3-v3-mkmlizer: Saving duration: 0.084s
meseca-messiah-7b-v1-3-v3-mkmlizer: Processed model anhnv125/reward-model-v3 in 3.291s
meseca-messiah-7b-v1-3-v3-mkmlizer: creating bucket guanaco-reward-models
meseca-messiah-7b-v1-3-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-messiah-7b-v1-3-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/config.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/special_tokens_map.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/tokenizer_config.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/vocab.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/merges.txt
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/tokenizer.json
meseca-messiah-7b-v1-3-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-messiah-7b-v1-3-v3_reward/reward.tensors
Job meseca-messiah-7b-v1-3-v3-mkmlizer completed after 53.61s with status: succeeded
Stopping job with name meseca-messiah-7b-v1-3-v3-mkmlizer
Pipeline stage MKMLizer completed in 58.95s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service meseca-messiah-7b-v1-3-v3
Waiting for inference service meseca-messiah-7b-v1-3-v3 to be ready
Inference service meseca-messiah-7b-v1-3-v3 ready after 50.26815438270569s
Pipeline stage ISVCDeployer completed in 58.17s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7336461544036865s
Received healthy response to inference request in 1.1606106758117676s
Received healthy response to inference request in 1.1574409008026123s
Received healthy response to inference request in 1.179218053817749s
Received healthy response to inference request in 1.1553256511688232s
5 requests
0 failed requests
5th percentile: 1.1557487010955811
10th percentile: 1.1561717510223388
20th percentile: 1.1570178508758544
30th percentile: 1.1580748558044434
40th percentile: 1.1593427658081055
50th percentile: 1.1606106758117676
60th percentile: 1.1680536270141602
70th percentile: 1.1754965782165527
80th percentile: 1.2901036739349365
90th percentile: 1.5118749141693115
95th percentile: 1.622760534286499
99th percentile: 1.7114690303802491
mean time: 1.2772482872009276
Pipeline stage StressChecker completed in 7.29s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
meseca-messiah-7b-v1-3_v3 status is now deployed due to DeploymentManager action
meseca-messiah-7b-v1-3_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of meseca-messiah-7b-v1-3_v3
Running pipeline stage ISVCDeleter
Checking if service meseca-messiah-7b-v1-3-v3 is running
Tearing down inference service meseca-messiah-7b-v1-3-v3
Toredown service meseca-messiah-7b-v1-3-v3
Pipeline stage ISVCDeleter completed in 4.79s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key meseca-messiah-7b-v1-3-v3/added_tokens.json from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/config.json from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key meseca-messiah-7b-v1-3-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key meseca-messiah-7b-v1-3-v3_reward/config.json from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key meseca-messiah-7b-v1-3-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.81s
meseca-messiah-7b-v1-3_v3 status is now torndown due to DeploymentManager action

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