submission_id: anhnv125-mistral-v3_v10
developer_uid: vietanh
status: torndown
model_repo: anhnv125/mistral-v3
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
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': 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 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: 2024-04-05T22:14:07+00:00
model_name: anhnv125-mistral-v3_v10
model_eval_status: pending
model_group: anhnv125/mistral-v3
num_battles: 156400
num_wins: 79539
celo_rating: 1165.21
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_v10
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: 2024-04-05
win_ratio: 0.5085613810741688
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name anhnv125-mistral-v3-v10-mkmlizer
Waiting for job on anhnv125-mistral-v3-v10-mkmlizer to finish
anhnv125-mistral-v3-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
anhnv125-mistral-v3-v10-mkmlizer: ║ _____ __ __ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
anhnv125-mistral-v3-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
anhnv125-mistral-v3-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ /___/ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ Version: 0.6.11 ║
anhnv125-mistral-v3-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
anhnv125-mistral-v3-v10-mkmlizer: ║ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ The license key for the current software has been verified as ║
anhnv125-mistral-v3-v10-mkmlizer: ║ belonging to: ║
anhnv125-mistral-v3-v10-mkmlizer: ║ ║
anhnv125-mistral-v3-v10-mkmlizer: ║ Chai Research Corp. ║
anhnv125-mistral-v3-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
anhnv125-mistral-v3-v10-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
anhnv125-mistral-v3-v10-mkmlizer: ║ ║
anhnv125-mistral-v3-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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anhnv125-mistral-v3-v10-mkmlizer: pytorch_model-00003-of-00003.bin: 0%| | 0.00/4.54G [00:00<?, ?B/s] pytorch_model-00003-of-00003.bin: 0%| | 10.5M/4.54G [00:00<03:55, 19.2MB/s] pytorch_model-00003-of-00003.bin: 2%|▏ | 73.4M/4.54G [00:00<00:31, 143MB/s] pytorch_model-00003-of-00003.bin: 3%|▎ | 115M/4.54G [00:00<00:29, 148MB/s] pytorch_model-00003-of-00003.bin: 7%|▋ | 325M/4.54G [00:01<00:08, 515MB/s] pytorch_model-00003-of-00003.bin: 25%|██▍ | 1.13G/4.54G [00:01<00:01, 2.08GB/s] pytorch_model-00003-of-00003.bin: 32%|███▏ | 1.47G/4.54G [00:01<00:01, 1.55GB/s] pytorch_model-00003-of-00003.bin: 38%|███▊ | 1.73G/4.54G [00:01<00:02, 1.25GB/s] pytorch_model-00003-of-00003.bin: 42%|████▏ | 1.93G/4.54G [00:01<00:02, 1.25GB/s] pytorch_model-00003-of-00003.bin: 53%|█████▎ | 2.42G/4.54G [00:02<00:01, 1.85GB/s] pytorch_model-00003-of-00003.bin: 64%|██████▎ | 2.88G/4.54G [00:02<00:00, 2.35GB/s] pytorch_model-00003-of-00003.bin: 71%|███████ | 3.21G/4.54G [00:02<00:00, 2.43GB/s] pytorch_model-00003-of-00003.bin: 77%|███████▋ | 3.51G/4.54G [00:02<00:00, 2.36GB/s] pytorch_model-00003-of-00003.bin: 84%|████████▎ | 3.80G/4.54G [00:02<00:00, 1.95GB/s] pytorch_model-00003-of-00003.bin: 89%|████████▉ | 4.04G/4.54G [00:02<00:00, 1.78GB/s] pytorch_model-00003-of-00003.bin: 100%|█████████▉| 4.54G/4.54G [00:02<00:00, 1.56GB/s]
anhnv125-mistral-v3-v10-mkmlizer: pytorch_model.bin.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] pytorch_model.bin.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 127MB/s]
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anhnv125-mistral-v3-v10-mkmlizer: Downloaded to shared memory in 17.601s
anhnv125-mistral-v3-v10-mkmlizer: quantizing model to /dev/shm/model_cache
anhnv125-mistral-v3-v10-mkmlizer: Saving mkml model at /dev/shm/model_cache
anhnv125-mistral-v3-v10-mkmlizer: Reading /tmp/tmphbj__jjg/pytorch_model.bin.index.json
anhnv125-mistral-v3-v10-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<09:12, 1.91s/it] Profiling: 34%|███▎ | 98/291 [00:02<00:04, 46.99it/s] Profiling: 70%|███████ | 204/291 [00:03<00:01, 80.63it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 74.76it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 62.70it/s]
anhnv125-mistral-v3-v10-mkmlizer: quantized model in 14.620s
anhnv125-mistral-v3-v10-mkmlizer: Processed model anhnv125/mistral-v3 in 33.047s
anhnv125-mistral-v3-v10-mkmlizer: creating bucket guanaco-mkml-models
anhnv125-mistral-v3-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
anhnv125-mistral-v3-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/anhnv125-mistral-v3-v10
anhnv125-mistral-v3-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v10/config.json
anhnv125-mistral-v3-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/anhnv125-mistral-v3-v10/special_tokens_map.json
anhnv125-mistral-v3-v10-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/anhnv125-mistral-v3-v10/mkml_model.tensors
anhnv125-mistral-v3-v10-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
anhnv125-mistral-v3-v10-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-v10-mkmlizer: warnings.warn(
anhnv125-mistral-v3-v10-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 10.1MB/s]
anhnv125-mistral-v3-v10-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-v10-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v10-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-v10-mkmlizer: warnings.warn(
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anhnv125-mistral-v3-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
anhnv125-mistral-v3-v10-mkmlizer: Saving duration: 0.226s
anhnv125-mistral-v3-v10-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 10.204s
anhnv125-mistral-v3-v10-mkmlizer: creating bucket guanaco-reward-models
anhnv125-mistral-v3-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
anhnv125-mistral-v3-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/tokenizer_config.json
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/special_tokens_map.json
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/merges.txt
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/config.json
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/vocab.json
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/tokenizer.json
anhnv125-mistral-v3-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/anhnv125-mistral-v3-v10_reward/reward.tensors
Job anhnv125-mistral-v3-v10-mkmlizer completed after 64.68s with status: succeeded
Stopping job with name anhnv125-mistral-v3-v10-mkmlizer
Pipeline stage MKMLizer completed in 69.92s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.19s
Running pipeline stage ISVCDeployer
Creating inference service anhnv125-mistral-v3-v10
Waiting for inference service anhnv125-mistral-v3-v10 to be ready
Inference service anhnv125-mistral-v3-v10 ready after 50.30763030052185s
Pipeline stage ISVCDeployer completed in 58.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7836332321166992s
Received healthy response to inference request in 1.647172212600708s
Received healthy response to inference request in 1.2517848014831543s
Received healthy response to inference request in 1.3023180961608887s
Received healthy response to inference request in 1.2514002323150635s
5 requests
0 failed requests
5th percentile: 1.2514771461486816
10th percentile: 1.2515540599822998
20th percentile: 1.2517078876495362
30th percentile: 1.2618914604187013
40th percentile: 1.282104778289795
50th percentile: 1.3023180961608887
60th percentile: 1.4402597427368165
70th percentile: 1.578201389312744
80th percentile: 1.6744644165039062
90th percentile: 1.7290488243103028
95th percentile: 1.756341028213501
99th percentile: 1.7781747913360595
mean time: 1.4472617149353026
Pipeline stage StressChecker completed in 8.07s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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 0.11s
anhnv125-mistral-v3_v10 status is now deployed due to DeploymentManager action
anhnv125-mistral-v3_v10 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of anhnv125-mistral-v3_v10
Running pipeline stage ISVCDeleter
Checking if service anhnv125-mistral-v3-v10 is running
Tearing down inference service anhnv125-mistral-v3-v10
Toredown service anhnv125-mistral-v3-v10
Pipeline stage ISVCDeleter completed in 3.99s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v10/config.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v10/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v10/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v10/tokenizer.json from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v10/tokenizer.model from bucket guanaco-mkml-models
Deleting key anhnv125-mistral-v3-v10/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key anhnv125-mistral-v3-v10_reward/config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/merges.txt from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/reward.tensors from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key anhnv125-mistral-v3-v10_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.98s
anhnv125-mistral-v3_v10 status is now torndown due to DeploymentManager action
admin requested tearing down of anhnv125-mistral-v3_v10
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.09s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.07s
anhnv125-mistral-v3_v10 status is now torndown due to DeploymentManager action

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