submission_id: cycy233-misllm-v8-2-2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v8.2.2.5
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: 2024-06-18T03:14:00+00:00
model_name: base
model_group: cycy233/misllm_v8.2.2.5
num_battles: 14175
num_wins: 7142
celo_rating: 1190.42
propriety_score: 0.6974462559515221
propriety_total_count: 6931.0
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_v8.2.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-17
win_ratio: 0.5038447971781305
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v8-2-2-5-v1-mkmlizer
Waiting for job on cycy233-misllm-v8-2-2-5-v1-mkmlizer to finish
cycy233-misllm-v8-2-2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v8-2-2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v8-2-2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v8-2-2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v8-2-2-5-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v8-2-2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v8-2-2-5-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-v8-2-2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Downloaded to shared memory in 34.092s
cycy233-misllm-v8-2-2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 90.17it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 99.08it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 81.85it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v8-2-2-5-v1-mkmlizer: quantized model in 15.773s
cycy233-misllm-v8-2-2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v8-2-2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/special_tokens_map.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/config.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/tokenizer_config.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/tokenizer.model
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/tokenizer.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v8-2-2-5-v1/flywheel_model.0.safetensors
cycy233-misllm-v8-2-2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v8-2-2-5-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-v8-2-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v8-2-2-5-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-v8-2-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v8-2-2-5-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-v8-2-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v8-2-2-5-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-v8-2-2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Saving duration: 0.430s
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.276s
cycy233-misllm-v8-2-2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v8-2-2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v8-2-2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/config.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/special_tokens_map.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/tokenizer_config.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/merges.txt
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/vocab.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/tokenizer.json
cycy233-misllm-v8-2-2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v8-2-2-5-v1_reward/reward.tensors
Job cycy233-misllm-v8-2-2-5-v1-mkmlizer completed after 82.9s with status: succeeded
Stopping job with name cycy233-misllm-v8-2-2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.54s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v8-2-2-5-v1
Waiting for inference service cycy233-misllm-v8-2-2-5-v1 to be ready
Inference service cycy233-misllm-v8-2-2-5-v1 ready after 291.65493845939636s
Pipeline stage ISVCDeployer completed in 298.63s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1185500621795654s
Received healthy response to inference request in 1.0096259117126465s
Received healthy response to inference request in 1.0655813217163086s
Received healthy response to inference request in 1.1872339248657227s
Received healthy response to inference request in 1.1577215194702148s
5 requests
0 failed requests
5th percentile: 1.0208169937133789
10th percentile: 1.0320080757141112
20th percentile: 1.0543902397155762
30th percentile: 1.0840093612670898
40th percentile: 1.1208654403686524
50th percentile: 1.1577215194702148
60th percentile: 1.1695264816284179
70th percentile: 1.1813314437866211
80th percentile: 1.3734971523284913
90th percentile: 1.7460236072540285
95th percentile: 1.9322868347167967
99th percentile: 2.0812974166870117
mean time: 1.3077425479888916
Pipeline stage StressChecker completed in 7.18s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cycy233-misllm-v8-2-2-5_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v8-2-2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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