submission_id: anhnv125-mistral-v3_v12
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': 512, 'best_of': 16, '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: 2024-04-05T22:15:32+00:00
model_name: anhnv125-mistral-v3_v12
model_eval_status: success
model_group: anhnv125/mistral-v3
num_battles: 138781
num_wins: 69206
celo_rating: 1157.66
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: anhnv125-mistral-v3_v12
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: 0.4986705672966761
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name anhnv125-mistral-v3-v12-mkmlizer
Waiting for job on anhnv125-mistral-v3-v12-mkmlizer to finish
anhnv125-mistral-v3-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
anhnv125-mistral-v3-v12-mkmlizer: ║ _____ __ __ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
anhnv125-mistral-v3-v12-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
anhnv125-mistral-v3-v12-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ /___/ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ Version: 0.6.11 ║
anhnv125-mistral-v3-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
anhnv125-mistral-v3-v12-mkmlizer: ║ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ The license key for the current software has been verified as ║
anhnv125-mistral-v3-v12-mkmlizer: ║ belonging to: ║
anhnv125-mistral-v3-v12-mkmlizer: ║ ║
anhnv125-mistral-v3-v12-mkmlizer: ║ Chai Research Corp. ║
anhnv125-mistral-v3-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
anhnv125-mistral-v3-v12-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
anhnv125-mistral-v3-v12-mkmlizer: ║ ║
anhnv125-mistral-v3-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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anhnv125-mistral-v3-v12-mkmlizer: Downloaded to shared memory in 8.665s
anhnv125-mistral-v3-v12-mkmlizer: quantizing model to /dev/shm/model_cache
anhnv125-mistral-v3-v12-mkmlizer: Saving mkml model at /dev/shm/model_cache
anhnv125-mistral-v3-v12-mkmlizer: Reading /tmp/tmpbodmpb6i/pytorch_model.bin.index.json
anhnv125-mistral-v3-v12-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<09:37, 1.99s/it] Profiling: 34%|███▎ | 98/291 [00:02<00:04, 41.86it/s] Profiling: 70%|███████ | 204/291 [00:03<00:01, 74.21it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 73.83it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 60.19it/s]
anhnv125-mistral-v3-v12-mkmlizer: quantized model in 14.828s
anhnv125-mistral-v3-v12-mkmlizer: Processed model anhnv125/mistral-v3 in 24.325s
anhnv125-mistral-v3-v12-mkmlizer: creating bucket guanaco-mkml-models
anhnv125-mistral-v3-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
anhnv125-mistral-v3-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/anhnv125-mistral-v3-v12
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/special_tokens_map.json
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/config.json
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/tokenizer_config.json
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/tokenizer.json
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/tokenizer.model
anhnv125-mistral-v3-v12-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/anhnv125-mistral-v3-v12/mkml_model.tensors
anhnv125-mistral-v3-v12-mkmlizer: loading reward model from anhnv125/reward-model-vm
anhnv125-mistral-v3-v12-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-v12-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v12-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-v12-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v12-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-v12-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v12-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
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anhnv125-mistral-v3-v12-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.21it/s] Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.21it/s]
anhnv125-mistral-v3-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
anhnv125-mistral-v3-v12-mkmlizer: Saving duration: 0.085s
anhnv125-mistral-v3-v12-mkmlizer: Processed model anhnv125/reward-model-vm in 2.523s
anhnv125-mistral-v3-v12-mkmlizer: creating bucket guanaco-reward-models
anhnv125-mistral-v3-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
anhnv125-mistral-v3-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/config.json
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/tokenizer_config.json
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/merges.txt
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/vocab.json
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/tokenizer.json
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/special_tokens_map.json
anhnv125-mistral-v3-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/anhnv125-mistral-v3-v12_reward/reward.tensors
Job anhnv125-mistral-v3-v12-mkmlizer completed after 44.17s with status: succeeded
Stopping job with name anhnv125-mistral-v3-v12-mkmlizer
Pipeline stage MKMLizer completed in 48.29s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service anhnv125-mistral-v3-v12
Waiting for inference service anhnv125-mistral-v3-v12 to be ready
Inference service anhnv125-mistral-v3-v12 ready after 40.27322721481323s
Pipeline stage ISVCDeployer completed in 47.61s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7032642364501953s
Received healthy response to inference request in 1.1879303455352783s
Received healthy response to inference request in 1.1627845764160156s
Received healthy response to inference request in 1.1468455791473389s
Received healthy response to inference request in 1.1788814067840576s
5 requests
0 failed requests
5th percentile: 1.1500333786010741
10th percentile: 1.1532211780548096
20th percentile: 1.1595967769622804
30th percentile: 1.166003942489624
40th percentile: 1.1724426746368408
50th percentile: 1.1788814067840576
60th percentile: 1.1825009822845458
70th percentile: 1.1861205577850342
80th percentile: 1.2909971237182618
90th percentile: 1.4971306800842286
95th percentile: 1.6001974582672118
99th percentile: 1.6826508808135987
mean time: 1.2759412288665772
Pipeline stage StressChecker completed in 7.20s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
anhnv125-mistral-v3_v12 status is now deployed due to DeploymentManager action
anhnv125-mistral-v3_v12 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of anhnv125-mistral-v3_v12
Running pipeline stage ISVCDeleter
Checking if service anhnv125-mistral-v3-v12 is running
Tearing down inference service anhnv125-mistral-v3-v12
Toredown service anhnv125-mistral-v3-v12
Pipeline stage ISVCDeleter completed in 3.56s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v12/config.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v12/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v12/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v12/tokenizer.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v12/tokenizer.model from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v12/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v12_reward/config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/merges.txt from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/reward.tensors from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v12_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.78s
anhnv125-mistral-v3_v12 status is now torndown due to DeploymentManager action
admin requested tearing down of anhnv125-mistral-v3_v12
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.11s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.07s
anhnv125-mistral-v3_v12 status is now torndown due to DeploymentManager action

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