submission_id: cycy233-l3-exp-v2-e3-0_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-exp-v2-e3.0
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': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-06-28T02:51:21+00:00
model_name: auto
model_group: cycy233/L3-exp-v2-e3.0
num_battles: 17396
num_wins: 8558
celo_rating: 1172.42
propriety_score: 0.7115589804386485
propriety_total_count: 8435.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
ineligible_reason: None
language_model: cycy233/L3-exp-v2-e3.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-27
win_ratio: 0.4919521729133134
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-exp-v2-e3-0-v1-mkmlizer
Waiting for job on cycy233-l3-exp-v2-e3-0-v1-mkmlizer to finish
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ║ ║
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-exp-v2-e3-0-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-l3-exp-v2-e3-0-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Downloaded to shared memory in 45.609s
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 73.21it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 86.29it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 124.90it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: quantized model in 23.520s
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Processed model cycy233/L3-exp-v2-e3.0 in 71.604s
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1/config.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1/special_tokens_map.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1/tokenizer_config.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1/tokenizer.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-exp-v2-e3-0-v1/flywheel_model.0.safetensors
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-exp-v2-e3-0-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-l3-exp-v2-e3-0-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v2-e3-0-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-l3-exp-v2-e3-0-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v2-e3-0-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-l3-exp-v2-e3-0-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v2-e3-0-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-l3-exp-v2-e3-0-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Saving duration: 0.400s
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 22.370s
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/config.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/special_tokens_map.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/tokenizer_config.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/merges.txt
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/vocab.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/tokenizer.json
cycy233-l3-exp-v2-e3-0-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-exp-v2-e3-0-v1_reward/reward.tensors
Job cycy233-l3-exp-v2-e3-0-v1-mkmlizer completed after 155.99s with status: succeeded
Stopping job with name cycy233-l3-exp-v2-e3-0-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-exp-v2-e3-0-v1
Waiting for inference service cycy233-l3-exp-v2-e3-0-v1 to be ready
Inference service cycy233-l3-exp-v2-e3-0-v1 ready after 40.24597907066345s
Pipeline stage ISVCDeployer completed in 47.37s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1845600605010986s
Received healthy response to inference request in 1.4571857452392578s
Received healthy response to inference request in 1.3403136730194092s
Received healthy response to inference request in 1.291520595550537s
Received healthy response to inference request in 1.3660480976104736s
5 requests
0 failed requests
5th percentile: 1.3012792110443114
10th percentile: 1.311037826538086
20th percentile: 1.3305550575256349
30th percentile: 1.345460557937622
40th percentile: 1.3557543277740478
50th percentile: 1.3660480976104736
60th percentile: 1.4025031566619872
70th percentile: 1.438958215713501
80th percentile: 1.6026606082916262
90th percentile: 1.8936103343963624
95th percentile: 2.0390851974487303
99th percentile: 2.155465087890625
mean time: 1.5279256343841552
Pipeline stage StressChecker completed in 8.43s
cycy233-l3-exp-v2-e3-0_v1 status is now deployed due to DeploymentManager action
cycy233-l3-exp-v2-e3-0_v1 status is now inactive due to auto deactivation removed underperforming models

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