developer_uid: shiroe40
submission_id: cycy233-misllm-v6-9-2_v1
model_name: base_f
model_group: cycy233/misllm_v6.9.2
status: rejected
timestamp: 2024-06-13T02:04:05+00:00
num_battles: 1421
num_wins: 741
celo_rating: 1197.14
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/misllm_v6.9.2
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_f
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: cycy233/misllm_v6.9.2
model_size: 7B
ranking_group: single
us_pacific_date: 2024-06-12
win_ratio: 0.5214637579169599
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: {'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': False, 'user_template': '{user_name}: {message}\n'}
model_eval_status: error
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-9-2-v1-mkmlizer
Waiting for job on cycy233-misllm-v6-9-2-v1-mkmlizer to finish
cycy233-misllm-v6-9-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v6-9-2-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ belonging to: ║
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cycy233-misllm-v6-9-2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-9-2-v1-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-v6-9-2-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-9-2-v1-mkmlizer: Downloaded to shared memory in 35.085s
cycy233-misllm-v6-9-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-9-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-9-2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 83.39it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 90.77it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 76.15it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-9-2-v1-mkmlizer: Processed model cycy233/misllm_v6.9.2 in 48.476s
cycy233-misllm-v6-9-2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-9-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-9-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/config.json
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/tokenizer_config.json
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/tokenizer.json
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/tokenizer.model
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/special_tokens_map.json
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-9-2-v1/flywheel_model.0.safetensors
cycy233-misllm-v6-9-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-9-2-v1-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-v6-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-2-v1-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-v6-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-2-v1-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-v6-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-2-v1-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-v6-9-2-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-9-2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-9-2-v1-mkmlizer: Saving duration: 0.261s
cycy233-misllm-v6-9-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.571s
cycy233-misllm-v6-9-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-9-2-v1_reward/reward.tensors
Job cycy233-misllm-v6-9-2-v1-mkmlizer completed after 72.76s with status: succeeded
Stopping job with name cycy233-misllm-v6-9-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 77.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-9-2-v1
Waiting for inference service cycy233-misllm-v6-9-2-v1 to be ready
Inference service cycy233-misllm-v6-9-2-v1 ready after 30.211537837982178s
Pipeline stage ISVCDeployer completed in 38.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0837349891662598s
Received healthy response to inference request in 1.17801833152771s
Received healthy response to inference request in 1.170940637588501s
Received healthy response to inference request in 1.1560227870941162s
Received healthy response to inference request in 1.1807031631469727s
5 requests
0 failed requests
5th percentile: 1.1590063571929932
10th percentile: 1.1619899272918701
20th percentile: 1.167957067489624
30th percentile: 1.1723561763763428
40th percentile: 1.1751872539520263
50th percentile: 1.17801833152771
60th percentile: 1.1790922641754151
70th percentile: 1.18016619682312
80th percentile: 1.3613095283508303
90th percentile: 1.722522258758545
95th percentile: 1.9031286239624021
99th percentile: 2.0476137161254884
mean time: 1.353883981704712
Pipeline stage StressChecker completed in 7.39s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cycy233-misllm-v6-9-2_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v6-9-2_v1 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.