submission_id: anhnv125-mistral-v3_v7
developer_uid: vietanh
status: torndown
model_repo: anhnv125/mistral-v3
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 1024, 'best_of': 8, '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 be enclosed by double quotes. 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: 2024-04-04T20:36:02+00:00
model_name: anhnv125-mistral-v3_v7
model_eval_status: success
model_group: anhnv125/mistral-v3
num_battles: 5372
num_wins: 2810
celo_rating: 1181.12
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: anhnv125-mistral-v3_v7
ineligible_reason: propriety_total_count < 800
language_model: anhnv125/mistral-v3
model_size: 7B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-04
win_ratio: 0.5230826507818317
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name anhnv125-mistral-v3-v7-mkmlizer
Waiting for job on anhnv125-mistral-v3-v7-mkmlizer to finish
anhnv125-mistral-v3-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
anhnv125-mistral-v3-v7-mkmlizer: ║ _____ __ __ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
anhnv125-mistral-v3-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
anhnv125-mistral-v3-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ /___/ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ Version: 0.6.11 ║
anhnv125-mistral-v3-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
anhnv125-mistral-v3-v7-mkmlizer: ║ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ The license key for the current software has been verified as ║
anhnv125-mistral-v3-v7-mkmlizer: ║ belonging to: ║
anhnv125-mistral-v3-v7-mkmlizer: ║ ║
anhnv125-mistral-v3-v7-mkmlizer: ║ Chai Research Corp. ║
anhnv125-mistral-v3-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
anhnv125-mistral-v3-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
anhnv125-mistral-v3-v7-mkmlizer: ║ ║
anhnv125-mistral-v3-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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anhnv125-mistral-v3-v7-mkmlizer: Downloaded to shared memory in 15.109s
anhnv125-mistral-v3-v7-mkmlizer: quantizing model to /dev/shm/model_cache
anhnv125-mistral-v3-v7-mkmlizer: Saving mkml model at /dev/shm/model_cache
anhnv125-mistral-v3-v7-mkmlizer: Reading /tmp/tmp3y_vs62i/pytorch_model.bin.index.json
anhnv125-mistral-v3-v7-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:02<10:54, 2.26s/it] Profiling: 34%|███▎ | 98/291 [00:03<00:04, 39.38it/s] Profiling: 70%|███████ | 204/291 [00:03<00:01, 69.50it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 69.14it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 55.98it/s]
anhnv125-mistral-v3-v7-mkmlizer: quantized model in 17.616s
anhnv125-mistral-v3-v7-mkmlizer: Processed model anhnv125/mistral-v3 in 33.665s
anhnv125-mistral-v3-v7-mkmlizer: creating bucket guanaco-mkml-models
anhnv125-mistral-v3-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
anhnv125-mistral-v3-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/anhnv125-mistral-v3-v7
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/config.json
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/tokenizer_config.json
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/special_tokens_map.json
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/tokenizer.model
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/tokenizer.json
anhnv125-mistral-v3-v7-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/anhnv125-mistral-v3-v7/mkml_model.tensors
anhnv125-mistral-v3-v7-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
anhnv125-mistral-v3-v7-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-v7-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v7-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-v7-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v7-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-v7-mkmlizer: warnings.warn(
anhnv125-mistral-v3-v7-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:19, 73.3MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:30, 46.5MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:11, 118MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:00<00:06, 220MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:00<00:05, 233MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:02, 402MB/s] pytorch_model.bin: 23%|██▎ | 336M/1.44G [00:01<00:02, 486MB/s] pytorch_model.bin: 28%|██▊ | 398M/1.44G [00:01<00:03, 316MB/s] pytorch_model.bin: 46%|████▋ | 671M/1.44G [00:01<00:01, 744MB/s] pytorch_model.bin: 86%|████████▌ | 1.24G/1.44G [00:01<00:00, 1.73GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 847MB/s]
anhnv125-mistral-v3-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
anhnv125-mistral-v3-v7-mkmlizer: Saving duration: 0.335s
anhnv125-mistral-v3-v7-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.379s
anhnv125-mistral-v3-v7-mkmlizer: creating bucket guanaco-reward-models
anhnv125-mistral-v3-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
anhnv125-mistral-v3-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/config.json
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/special_tokens_map.json
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/tokenizer_config.json
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/vocab.json
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/merges.txt
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/tokenizer.json
anhnv125-mistral-v3-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/anhnv125-mistral-v3-v7_reward/reward.tensors
Job anhnv125-mistral-v3-v7-mkmlizer completed after 65.27s with status: succeeded
Stopping job with name anhnv125-mistral-v3-v7-mkmlizer
Pipeline stage MKMLizer completed in 71.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service anhnv125-mistral-v3-v7
Waiting for inference service anhnv125-mistral-v3-v7 to be ready
Inference service anhnv125-mistral-v3-v7 ready after 40.26441526412964s
Pipeline stage ISVCDeployer completed in 47.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8639752864837646s
Received healthy response to inference request in 1.2344200611114502s
Received healthy response to inference request in 1.2950878143310547s
Received healthy response to inference request in 1.25982666015625s
Received healthy response to inference request in 1.2249271869659424s
5 requests
0 failed requests
5th percentile: 1.226825761795044
10th percentile: 1.2287243366241456
20th percentile: 1.2325214862823486
30th percentile: 1.23950138092041
40th percentile: 1.24966402053833
50th percentile: 1.25982666015625
60th percentile: 1.273931121826172
70th percentile: 1.2880355834960937
80th percentile: 1.4088653087615968
90th percentile: 1.6364202976226807
95th percentile: 1.7501977920532226
99th percentile: 1.8412197875976561
mean time: 1.3756474018096925
Pipeline stage StressChecker completed in 7.77s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
anhnv125-mistral-v3_v7 status is now deployed due to DeploymentManager action
anhnv125-mistral-v3_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of anhnv125-mistral-v3_v7
Running pipeline stage ISVCDeleter
Checking if service anhnv125-mistral-v3-v7 is running
Tearing down inference service anhnv125-mistral-v3-v7
Toredown service anhnv125-mistral-v3-v7
Pipeline stage ISVCDeleter completed in 8.35s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v7/config.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v7/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v7/tokenizer.model from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v7_reward/config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.49s
anhnv125-mistral-v3_v7 status is now torndown due to DeploymentManager action

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