submission_id: cycy233-misllm-v6-4-3_v5
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.4.3
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': False}
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': False}
timestamp: 2024-06-04T02:38:04+00:00
model_name: cycy233-misllm-v6-4-3_v5
model_eval_status: success
model_group: cycy233/misllm_v6.4.3
num_battles: 6599
num_wins: 3576
celo_rating: 1199.08
safety_score: 0.94
propriety_score: 0.6684782608695652
propriety_total_count: 184.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cycy233-misllm-v6-4-3_v5
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.4.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-03
win_ratio: 0.5419002879224125
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-4-3-v5-mkmlizer
Waiting for job on cycy233-misllm-v6-4-3-v5-mkmlizer to finish
cycy233-misllm-v6-4-3-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-4-3-v5-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-4-3-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-4-3-v5-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-4-3-v5-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v6-4-3-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v6-4-3-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v6-4-3-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-4-3-v5-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-v6-4-3-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-4-3-v5-mkmlizer: Downloaded to shared memory in 14.596s
cycy233-misllm-v6-4-3-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-4-3-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-4-3-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 73.29it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:01, 84.66it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 75.48it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-4-3-v5-mkmlizer: Processed model cycy233/misllm_v6.4.3 in 28.265s
cycy233-misllm-v6-4-3-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-4-3-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-4-3-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/special_tokens_map.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/tokenizer_config.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/tokenizer.model
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/config.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/tokenizer.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-4-3-v5/flywheel_model.0.safetensors
cycy233-misllm-v6-4-3-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-4-3-v5-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-v6-4-3-v5-mkmlizer: warnings.warn(
cycy233-misllm-v6-4-3-v5-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-v6-4-3-v5-mkmlizer: warnings.warn(
cycy233-misllm-v6-4-3-v5-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-v6-4-3-v5-mkmlizer: warnings.warn(
cycy233-misllm-v6-4-3-v5-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-v6-4-3-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-4-3-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-4-3-v5-mkmlizer: Saving duration: 0.272s
cycy233-misllm-v6-4-3-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.907s
cycy233-misllm-v6-4-3-v5-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-4-3-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-4-3-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/tokenizer_config.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/config.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/special_tokens_map.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/merges.txt
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/vocab.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/tokenizer.json
cycy233-misllm-v6-4-3-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-4-3-v5_reward/reward.tensors
Job cycy233-misllm-v6-4-3-v5-mkmlizer completed after 52.56s with status: succeeded
Stopping job with name cycy233-misllm-v6-4-3-v5-mkmlizer
Pipeline stage MKMLizer completed in 56.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-4-3-v5
Waiting for inference service cycy233-misllm-v6-4-3-v5 to be ready
Inference service cycy233-misllm-v6-4-3-v5 ready after 40.298095703125s
Pipeline stage ISVCDeployer completed in 47.58s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.107949733734131s
Received healthy response to inference request in 1.170088529586792s
Received healthy response to inference request in 1.171860694885254s
Received healthy response to inference request in 1.1723484992980957s
Received healthy response to inference request in 1.1706156730651855s
5 requests
0 failed requests
5th percentile: 1.1701939582824707
10th percentile: 1.1702993869781495
20th percentile: 1.1705102443695068
30th percentile: 1.1708646774291993
40th percentile: 1.1713626861572266
50th percentile: 1.171860694885254
60th percentile: 1.1720558166503907
70th percentile: 1.1722509384155273
80th percentile: 1.359468746185303
90th percentile: 1.733709239959717
95th percentile: 1.9208294868469236
99th percentile: 2.0705256843566895
mean time: 1.3585726261138915
Pipeline stage StressChecker completed in 7.39s
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 0.07s
cycy233-misllm-v6-4-3_v5 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-4-3_v5 status is now inactive due to auto deactivation removed underperforming models

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