submission_id: anhnv125-mistral-v3_v13
developer_uid: vietanh
status: torndown
model_repo: anhnv125/mistral-v3
reward_repo: anhnv125/reward-model-vm
generation_params: {'temperature': 1.1, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 1.2, 'frequency_penalty': 0.9, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 1900, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "Write {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations your responses must be enclosed by asterisks (*), and speeches must NOT be enclosed by any indicators. The responses must be in third perspective of the story teller. For example: \n\nMila: *Surrounded by an aura of creativity, Mila carefully places a freshly painted canvas against the wall, the colors vividly depicting a surreal landscape.* Isn't it fascinating how art can transport us to entirely different worlds? What kind of worlds do you dream of exploring?\n\nDescription: {memory}\n", 'prompt_template': '{prompt}\n\n', 'bot_template': '\n\n### Response: {bot_name}: {message}</s>', 'user_template': '### Instruction: User: {message}', 'response_template': '\n\n### Response: {bot_name}: ', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-05T22:53:18+00:00
model_name: anhnv125-mistral-v3_v13
model_eval_status: success
model_group: anhnv125/mistral-v3
num_battles: 121861
num_wins: 59433
celo_rating: 1149.13
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 1900
max_output_tokens: 64
display_name: anhnv125-mistral-v3_v13
ineligible_reason: propriety_total_count < 800
language_model: anhnv125/mistral-v3
model_size: 7B
reward_model: anhnv125/reward-model-vm
us_pacific_date: 2024-04-05
win_ratio: 0.48771140890030446
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name anhnv125-mistral-v3-v13-mkmlizer
Waiting for job on anhnv125-mistral-v3-v13-mkmlizer to finish
Stopping job with name anhnv125-mistral-v3-v13-mkmlizer
%s, retrying in %s seconds...
Starting job with name anhnv125-mistral-v3-v13-mkmlizer
Waiting for job on anhnv125-mistral-v3-v13-mkmlizer to finish
anhnv125-mistral-v3-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
anhnv125-mistral-v3-v13-mkmlizer: ║ _____ __ __ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
anhnv125-mistral-v3-v13-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
anhnv125-mistral-v3-v13-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ /___/ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ Version: 0.6.11 ║
anhnv125-mistral-v3-v13-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
anhnv125-mistral-v3-v13-mkmlizer: ║ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ The license key for the current software has been verified as ║
anhnv125-mistral-v3-v13-mkmlizer: ║ belonging to: ║
anhnv125-mistral-v3-v13-mkmlizer: ║ ║
anhnv125-mistral-v3-v13-mkmlizer: ║ Chai Research Corp. ║
anhnv125-mistral-v3-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
anhnv125-mistral-v3-v13-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
anhnv125-mistral-v3-v13-mkmlizer: ║ ║
anhnv125-mistral-v3-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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anhnv125-mistral-v3-v13-mkmlizer: Downloaded to shared memory in 10.674s
anhnv125-mistral-v3-v13-mkmlizer: quantizing model to /dev/shm/model_cache
anhnv125-mistral-v3-v13-mkmlizer: Saving mkml model at /dev/shm/model_cache
anhnv125-mistral-v3-v13-mkmlizer: Reading /tmp/tmp_hmmfvx0/pytorch_model.bin.index.json
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anhnv125-mistral-v3-v13-mkmlizer: quantized model in 14.675s
anhnv125-mistral-v3-v13-mkmlizer: Processed model anhnv125/mistral-v3 in 26.201s
anhnv125-mistral-v3-v13-mkmlizer: creating bucket guanaco-mkml-models
anhnv125-mistral-v3-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
anhnv125-mistral-v3-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/anhnv125-mistral-v3-v13
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/tokenizer.model
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/config.json
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/tokenizer.json
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/tokenizer_config.json
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/special_tokens_map.json
anhnv125-mistral-v3-v13-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/anhnv125-mistral-v3-v13/mkml_model.tensors
anhnv125-mistral-v3-v13-mkmlizer: loading reward model from anhnv125/reward-model-vm
anhnv125-mistral-v3-v13-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.
anhnv125-mistral-v3-v13-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v13-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.
anhnv125-mistral-v3-v13-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v13-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.
anhnv125-mistral-v3-v13-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v13-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 1.47it/s] Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 1.47it/s]
anhnv125-mistral-v3-v13-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
anhnv125-mistral-v3-v13-mkmlizer: Saving duration: 0.080s
anhnv125-mistral-v3-v13-mkmlizer: Processed model anhnv125/reward-model-vm in 2.617s
anhnv125-mistral-v3-v13-mkmlizer: creating bucket guanaco-reward-models
anhnv125-mistral-v3-v13-mkmlizer: Bucket 's3://guanaco-reward-models/' created
anhnv125-mistral-v3-v13-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/special_tokens_map.json
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/config.json
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/tokenizer_config.json
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/merges.txt
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/vocab.json
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/tokenizer.json
anhnv125-mistral-v3-v13-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/anhnv125-mistral-v3-v13_reward/reward.tensors
Job anhnv125-mistral-v3-v13-mkmlizer completed after 76.57s with status: succeeded
Stopping job with name anhnv125-mistral-v3-v13-mkmlizer
Pipeline stage MKMLizer completed in 82.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service anhnv125-mistral-v3-v13
Waiting for inference service anhnv125-mistral-v3-v13 to be ready
Inference service anhnv125-mistral-v3-v13 ready after 40.22516632080078s
Pipeline stage ISVCDeployer completed in 48.49s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7634413242340088s
Received healthy response to inference request in 1.1957900524139404s
Received healthy response to inference request in 1.3913192749023438s
Received healthy response to inference request in 1.1110281944274902s
Received healthy response to inference request in 1.221256971359253s
5 requests
0 failed requests
5th percentile: 1.1279805660247804
10th percentile: 1.1449329376220703
20th percentile: 1.1788376808166503
30th percentile: 1.200883436203003
40th percentile: 1.2110702037811278
50th percentile: 1.221256971359253
60th percentile: 1.2892818927764893
70th percentile: 1.3573068141937255
80th percentile: 1.465743684768677
90th percentile: 1.6145925045013427
95th percentile: 1.6890169143676756
99th percentile: 1.7485564422607422
mean time: 1.3365671634674072
Pipeline stage StressChecker completed in 7.62s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
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
anhnv125-mistral-v3_v13 status is now deployed due to DeploymentManager action
anhnv125-mistral-v3_v13 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of anhnv125-mistral-v3_v13
Running pipeline stage ISVCDeleter
Checking if service anhnv125-mistral-v3-v13 is running
Tearing down inference service anhnv125-mistral-v3-v13
Toredown service anhnv125-mistral-v3-v13
Pipeline stage ISVCDeleter completed in 7.03s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v13/config.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v13/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v13/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v13/tokenizer.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v13/tokenizer.model from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v13/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v13_reward/config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/merges.txt from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/reward.tensors from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v13_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.70s
anhnv125-mistral-v3_v13 status is now torndown due to DeploymentManager action
admin requested tearing down of anhnv125-mistral-v3_v13
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.10s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.07s
anhnv125-mistral-v3_v13 status is now torndown due to DeploymentManager action

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