submission_id: cycy233-misllm-v9-1-3_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v9.1.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
timestamp: 2024-06-20T02:47:38+00:00
model_name: base
model_group: cycy233/misllm_v9.1.3
num_battles: 16499
num_wins: 8218
celo_rating: 1190.76
propriety_score: 0.6927764377301003
propriety_total_count: 7877.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
ineligible_reason: None
language_model: cycy233/misllm_v9.1.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-19
win_ratio: 0.49809079338141704
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v9-1-3-v2-mkmlizer
Waiting for job on cycy233-misllm-v9-1-3-v2-mkmlizer to finish
cycy233-misllm-v9-1-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v9-1-3-v2-mkmlizer: ║ /___/ ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v9-1-3-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-misllm-v9-1-3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ║ ║
cycy233-misllm-v9-1-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v9-1-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cycy233-misllm-v9-1-3-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v9-1-3-v2-mkmlizer: Downloaded to shared memory in 14.494s
cycy233-misllm-v9-1-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v9-1-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v9-1-3-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:01, 97.74it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 101.70it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 79.92it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v9-1-3-v2-mkmlizer: quantized model in 15.780s
cycy233-misllm-v9-1-3-v2-mkmlizer: Processed model cycy233/misllm_v9.1.3 in 32.602s
cycy233-misllm-v9-1-3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v9-1-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v9-1-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/config.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/special_tokens_map.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/tokenizer_config.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/tokenizer.model
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/tokenizer.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v9-1-3-v2/flywheel_model.0.safetensors
cycy233-misllm-v9-1-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v9-1-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v9-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v9-1-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v9-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v9-1-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v9-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v9-1-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cycy233-misllm-v9-1-3-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v9-1-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v9-1-3-v2-mkmlizer: Saving duration: 0.403s
cycy233-misllm-v9-1-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.077s
cycy233-misllm-v9-1-3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v9-1-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v9-1-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/config.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/special_tokens_map.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/tokenizer_config.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/merges.txt
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/vocab.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/tokenizer.json
cycy233-misllm-v9-1-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v9-1-3-v2_reward/reward.tensors
Job cycy233-misllm-v9-1-3-v2-mkmlizer completed after 62.89s with status: succeeded
Stopping job with name cycy233-misllm-v9-1-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 66.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v9-1-3-v2
Waiting for inference service cycy233-misllm-v9-1-3-v2 to be ready
Inference service cycy233-misllm-v9-1-3-v2 ready after 40.227611780166626s
Pipeline stage ISVCDeployer completed in 46.93s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.476039171218872s
Received healthy response to inference request in 1.1891334056854248s
Received healthy response to inference request in 1.2056150436401367s
Received healthy response to inference request in 0.9727246761322021s
Received healthy response to inference request in 0.9852163791656494s
5 requests
0 failed requests
5th percentile: 0.9752230167388916
10th percentile: 0.9777213573455811
20th percentile: 0.98271803855896
30th percentile: 1.0259997844696045
40th percentile: 1.1075665950775146
50th percentile: 1.1891334056854248
60th percentile: 1.1957260608673095
70th percentile: 1.2023187160491944
80th percentile: 1.459699869155884
90th percentile: 1.967869520187378
95th percentile: 2.221954345703125
99th percentile: 2.4252222061157225
mean time: 1.365745735168457
Pipeline stage StressChecker completed in 7.52s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cycy233-misllm-v9-1-3_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v9-1-3_v2 status is now inactive due to auto deactivation removed underperforming models

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