submission_id: cycy233-l3-base-v6-e3-0_v5
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-base-v6-e3.0
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|system|>\n### Instruction\nYou are a creative agent roleplaying as a character called Shoto Todoroki. Stay true to the persona given, reply with long and descriptive sentences. Do not be repetitive.\nThis is {bot_name}'s Persona: {memory}\n", 'prompt_template': "### Input:\n# {bot_name}'s example conversation:\n{prompt}\n# {bot_name}'s actual conversation:\n", 'bot_template': '<|assistant|>\n{bot_name}: {message}</s>', 'user_template': '<|user|>\n{user_name}: {message}</s>', 'response_template': '<|assistant|>\n{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: 2024-07-03T00:48:39+00:00
model_name: cycy233-l3-base-v6-e3-0_v4
model_group: cycy233/L3-base-v6-e3.0
num_battles: 12076
num_wins: 6092
celo_rating: 1184.05
propriety_score: 0.7233511586452763
propriety_total_count: 5610.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cycy233-l3-base-v6-e3-0_v4
ineligible_reason: None
language_model: cycy233/L3-base-v6-e3.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-02
win_ratio: 0.5044716793640278
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-base-v6-e3-0-v5-mkmlizer
Waiting for job on cycy233-l3-base-v6-e3-0-v5-mkmlizer to finish
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ /___/ ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-base-v6-e3-0-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-l3-base-v6-e3-0-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Downloaded to shared memory in 20.797s
cycy233-l3-base-v6-e3-0-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 66.89it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 77.40it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 114.30it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-base-v6-e3-0-v5-mkmlizer: quantized model in 24.625s
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Processed model cycy233/L3-base-v6-e3.0 in 45.422s
cycy233-l3-base-v6-e3-0-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-base-v6-e3-0-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5/tokenizer_config.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5/config.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5/special_tokens_map.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5/tokenizer.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v5/flywheel_model.0.safetensors
cycy233-l3-base-v6-e3-0-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-base-v6-e3-0-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-base-v6-e3-0-v5-mkmlizer: warnings.warn(
cycy233-l3-base-v6-e3-0-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
cycy233-l3-base-v6-e3-0-v5-mkmlizer: warnings.warn(
cycy233-l3-base-v6-e3-0-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-base-v6-e3-0-v5-mkmlizer: warnings.warn(
cycy233-l3-base-v6-e3-0-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-l3-base-v6-e3-0-v5-mkmlizer: warnings.warn(
cycy233-l3-base-v6-e3-0-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-l3-base-v6-e3-0-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Saving duration: 0.397s
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.498s
cycy233-l3-base-v6-e3-0-v5-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-base-v6-e3-0-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-base-v6-e3-0-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/config.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/special_tokens_map.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/tokenizer_config.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/merges.txt
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/vocab.json
cycy233-l3-base-v6-e3-0-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v5_reward/tokenizer.json
Job cycy233-l3-base-v6-e3-0-v5-mkmlizer completed after 73.38s with status: succeeded
Stopping job with name cycy233-l3-base-v6-e3-0-v5-mkmlizer
Pipeline stage MKMLizer completed in 74.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-base-v6-e3-0-v5
Waiting for inference service cycy233-l3-base-v6-e3-0-v5 to be ready
Inference service cycy233-l3-base-v6-e3-0-v5 ready after 40.20608353614807s
Pipeline stage ISVCDeployer completed in 47.53s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1086342334747314s
Received healthy response to inference request in 1.2965445518493652s
Received healthy response to inference request in 1.2830524444580078s
Received healthy response to inference request in 1.2790515422821045s
Received healthy response to inference request in 1.2853960990905762s
5 requests
0 failed requests
5th percentile: 1.2798517227172852
10th percentile: 1.280651903152466
20th percentile: 1.282252264022827
30th percentile: 1.2835211753845215
40th percentile: 1.2844586372375488
50th percentile: 1.2853960990905762
60th percentile: 1.2898554801940918
70th percentile: 1.2943148612976074
80th percentile: 1.4589624881744387
90th percentile: 1.783798360824585
95th percentile: 1.946216297149658
99th percentile: 2.0761506462097166
mean time: 1.450535774230957
Pipeline stage StressChecker completed in 8.04s
cycy233-l3-base-v6-e3-0_v5 status is now deployed due to DeploymentManager action
cycy233-l3-base-v6-e3-0_v5 status is now inactive due to auto deactivation removed underperforming models

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