developer_uid: shiroe40
submission_id: cycy233-misllm-v5-7_v4
model_name: base
model_group: cycy233/misllm_v5.7
status: torndown
timestamp: 2024-05-24T09:26:56+00:00
num_battles: 9026
num_wins: 4686
celo_rating: 1185.11
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/misllm_v5.7
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
is_internal_developer: False
language_model: cycy233/misllm_v5.7
model_size: 7B
ranking_group: single
us_pacific_date: 2024-05-24
win_ratio: 0.5191668513184134
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}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': True, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v5-7-v4-mkmlizer
Waiting for job on cycy233-misllm-v5-7-v4-mkmlizer to finish
cycy233-misllm-v5-7-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v5-7-v4-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v5-7-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
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cycy233-misllm-v5-7-v4-mkmlizer: ║ /___/ ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ https://mk1.ai ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ belonging to: ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v5-7-v4-mkmlizer: ║ ║
cycy233-misllm-v5-7-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v5-7-v4-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-v5-7-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v5-7-v4-mkmlizer: Downloaded to shared memory in 15.167s
cycy233-misllm-v5-7-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v5-7-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v5-7-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 94.81it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 106.11it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 85.52it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v5-7-v4-mkmlizer: quantized model in 15.012s
cycy233-misllm-v5-7-v4-mkmlizer: Processed model cycy233/misllm_v5.7 in 32.533s
cycy233-misllm-v5-7-v4-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v5-7-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v5-7-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/config.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/special_tokens_map.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/tokenizer.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/tokenizer.model
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/tokenizer_config.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v5-7-v4/flywheel_model.0.safetensors
cycy233-misllm-v5-7-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v5-7-v4-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-v5-7-v4-mkmlizer: warnings.warn(
cycy233-misllm-v5-7-v4-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-v5-7-v4-mkmlizer: warnings.warn(
cycy233-misllm-v5-7-v4-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-v5-7-v4-mkmlizer: warnings.warn(
cycy233-misllm-v5-7-v4-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-v5-7-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v5-7-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v5-7-v4-mkmlizer: Saving duration: 0.408s
cycy233-misllm-v5-7-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.880s
cycy233-misllm-v5-7-v4-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v5-7-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v5-7-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/config.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/special_tokens_map.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/merges.txt
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/vocab.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/tokenizer_config.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/tokenizer.json
cycy233-misllm-v5-7-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v5-7-v4_reward/reward.tensors
Job cycy233-misllm-v5-7-v4-mkmlizer completed after 62.54s with status: succeeded
Stopping job with name cycy233-misllm-v5-7-v4-mkmlizer
Pipeline stage MKMLizer completed in 63.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v5-7-v4
Waiting for inference service cycy233-misllm-v5-7-v4 to be ready
Inference service cycy233-misllm-v5-7-v4 ready after 30.154628038406372s
Pipeline stage ISVCDeployer completed in 36.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0042243003845215s
Received healthy response to inference request in 1.13840651512146s
Received healthy response to inference request in 1.0494310855865479s
Received healthy response to inference request in 1.1441209316253662s
Received healthy response to inference request in 1.1643352508544922s
5 requests
0 failed requests
5th percentile: 1.0672261714935303
10th percentile: 1.0850212574005127
20th percentile: 1.1206114292144775
30th percentile: 1.1395493984222411
40th percentile: 1.1418351650238037
50th percentile: 1.1441209316253662
60th percentile: 1.1522066593170166
70th percentile: 1.160292387008667
80th percentile: 1.3323130607604983
90th percentile: 1.6682686805725098
95th percentile: 1.8362464904785154
99th percentile: 1.9706287384033203
mean time: 1.3001036167144775
Pipeline stage StressChecker completed in 7.09s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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 0.06s
cycy233-misllm-v5-7_v4 status is now deployed due to DeploymentManager action
cycy233-misllm-v5-7_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-misllm-v5-7_v4
Running pipeline stage ISVCDeleter
Checking if service cycy233-misllm-v5-7-v4 is running
Tearing down inference service cycy233-misllm-v5-7-v4
Toredown service cycy233-misllm-v5-7-v4
admin requested tearing down of cycy233-misllm-v5-9_v1
Pipeline stage ISVCDeleter completed in 4.48s
Running pipeline stage ISVCDeleter
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Checking if service cycy233-misllm-v5-9-v1 is running
Cleaning model data from model cache
Deleting key cycy233-misllm-v5-7-v4/config.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-7-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-7-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-7-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-7-v4/tokenizer.model from bucket guanaco-mkml-models
Tearing down inference service cycy233-misllm-v5-9-v1
Deleting key cycy233-misllm-v5-7-v4/tokenizer_config.json from bucket guanaco-mkml-models
Toredown service cycy233-misllm-v5-9-v1
Cleaning model data from model cache
Pipeline stage ISVCDeleter completed in 3.74s
Deleting key cycy233-misllm-v5-7-v4_reward/config.json from bucket guanaco-reward-models
Running pipeline stage MKMLModelDeleter
Deleting key cycy233-misllm-v5-7-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-7-v4_reward/reward.tensors from bucket guanaco-reward-models
Cleaning model data from S3
Deleting key cycy233-misllm-v5-7-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Cleaning model data from model cache
Deleting key cycy233-misllm-v5-7-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-7-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-9-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-7-v4_reward/vocab.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-9-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Pipeline stage MKMLModelDeleter completed in 4.96s
cycy233-misllm-v5-7_v4 status is now torndown due to DeploymentManager action
Deleting key cycy233-misllm-v5-9-v1/special_tokens_map.json from bucket guanaco-mkml-models