submission_id: cgato-l3-thespice-8b-dpo_3348_v3
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e10.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n", 'prompt_template': '***\n{prompt}\n***<|im_end|>\n', 'bot_template': '<|im_start|>{bot_name}\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>{bot_name}\n{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: 2024-05-26T19:49:09+00:00
model_name: cgato-l3-thespice-8b-dpo_3348_v3
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 15989
num_wins: 8623
celo_rating: 1198.98
safety_score: 0.92
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030277632.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-dpo_3348_v3
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e10.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-26
win_ratio: 0.5393082744386766
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer to finish
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-3348-v3-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.
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Downloaded to shared memory in 63.635s
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 70.44it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 82.38it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 119.06it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: quantized model in 23.699s
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3/config.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3/tokenizer.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-3348-v3-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.
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-v3-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.
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-v3-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.
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-v3-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()
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Saving duration: 0.384s
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.547s
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/config.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/vocab.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/merges.txt
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer completed after 287.39s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-3348-v3-mkmlizer
Pipeline stage MKMLizer completed in 292.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-3348-v3
Waiting for inference service cgato-l3-thespice-8b-dpo-3348-v3 to be ready
Inference service cgato-l3-thespice-8b-dpo-3348-v3 ready after 30.185691595077515s
Pipeline stage ISVCDeployer completed in 37.93s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0557665824890137s
Received healthy response to inference request in 1.2595465183258057s
Received healthy response to inference request in 1.2620651721954346s
Received healthy response to inference request in 1.264240026473999s
Received healthy response to inference request in 1.2737913131713867s
5 requests
0 failed requests
5th percentile: 1.2600502490997314
10th percentile: 1.2605539798736571
20th percentile: 1.2615614414215088
30th percentile: 1.2625001430511475
40th percentile: 1.2633700847625733
50th percentile: 1.264240026473999
60th percentile: 1.2680605411529542
70th percentile: 1.2718810558319091
80th percentile: 1.4301863670349122
90th percentile: 1.742976474761963
95th percentile: 1.8993715286254882
99th percentile: 2.0244875717163087
mean time: 1.423081922531128
Pipeline stage StressChecker completed in 7.80s
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
cgato-l3-thespice-8b-dpo_3348_v3 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_3348_v3 status is now inactive due to auto deactivation removed underperforming models

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