submission_id: cycy233-misllm-v4-5_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v4.5
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.8, '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: 2024-05-21T07:43:51+00:00
model_name: rolei
model_eval_status: success
model_group: cycy233/misllm_v4.5
num_battles: 13049
num_wins: 7098
celo_rating: 1194.99
safety_score: 0.98
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: rolei
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v4.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-21
win_ratio: 0.5439497279485018
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v4-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v4-5-v2-mkmlizer to finish
cycy233-misllm-v4-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v4-5-v2-mkmlizer: ║ /___/ ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v4-5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v4-5-v2-mkmlizer: ║ ║
cycy233-misllm-v4-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v4-5-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-v4-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v4-5-v2-mkmlizer: Downloaded to shared memory in 12.492s
cycy233-misllm-v4-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v4-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v4-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:00<00:01, 103.87it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 117.11it/s] Loading 0: 100%|██████████| 291/291 [00:02<00:00, 94.31it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v4-5-v2-mkmlizer: quantized model in 10.415s
cycy233-misllm-v4-5-v2-mkmlizer: Processed model cycy233/misllm_v4.5 in 23.846s
cycy233-misllm-v4-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v4-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v4-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/config.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/special_tokens_map.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/tokenizer_config.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/tokenizer.model
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/tokenizer.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v4-5-v2/flywheel_model.0.safetensors
cycy233-misllm-v4-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v4-5-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-v4-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v4-5-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-v4-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v4-5-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-v4-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v4-5-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-v4-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v4-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v4-5-v2-mkmlizer: Saving duration: 0.258s
cycy233-misllm-v4-5-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.589s
cycy233-misllm-v4-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v4-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v4-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/tokenizer_config.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/special_tokens_map.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/config.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/vocab.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/merges.txt
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/tokenizer.json
cycy233-misllm-v4-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v4-5-v2_reward/reward.tensors
Job cycy233-misllm-v4-5-v2-mkmlizer completed after 52.79s with status: succeeded
Stopping job with name cycy233-misllm-v4-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 55.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v4-5-v2
Waiting for inference service cycy233-misllm-v4-5-v2 to be ready
Inference service cycy233-misllm-v4-5-v2 ready after 30.16281747817993s
Pipeline stage ISVCDeployer completed in 37.19s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8963196277618408s
Received healthy response to inference request in 1.1754119396209717s
Received healthy response to inference request in 0.9976732730865479s
Received healthy response to inference request in 1.1162645816802979s
Received healthy response to inference request in 1.1953420639038086s
5 requests
0 failed requests
5th percentile: 1.0213915348052978
10th percentile: 1.045109796524048
20th percentile: 1.092546319961548
30th percentile: 1.1280940532684327
40th percentile: 1.1517529964447022
50th percentile: 1.1754119396209717
60th percentile: 1.1833839893341065
70th percentile: 1.1913560390472413
80th percentile: 1.3355375766754152
90th percentile: 1.615928602218628
95th percentile: 1.7561241149902342
99th percentile: 1.8682805252075194
mean time: 1.2762022972106934
Pipeline stage StressChecker completed in 7.05s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v4-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v4-5_v2 status is now inactive due to auto deactivation removed underperforming models

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