submission_id: cgato-l3-thespice-8b-v3-3_v9
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v3.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, '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': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>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: 2024-05-08T10:49:04+00:00
model_name: cgato-l3-thespice-8b-v3-3_v9
model_eval_status: success
double_thumbs_up: 99
thumbs_up: 130
thumbs_down: 76
num_battles: 11327
num_wins: 6002
celo_rating: 1197.0
entertaining: 6.94
stay_in_character: 8.42
user_preference: 7.1
safety_score: 0.88
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-v3-3_v9
double_thumbs_up_ratio: 0.32459016393442625
feedback_count: 305
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: 7.486666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4262295081967213
thumbs_down_ratio: 0.24918032786885247
thumbs_up_ratio: 0.7508196721311475
us_pacific_date: 2024-05-08
win_ratio: 0.5298843471351637
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v9-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v9-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Downloaded to shared memory in 26.924s
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 129.84it/s] Loading 0: 88%|████████▊ | 257/291 [00:02<00:00, 127.79it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 29.32it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: quantized model in 18.697s
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 46.762s
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9/config.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9/tokenizer.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v9/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v9-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-v3-3-v9-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Saving duration: 0.242s
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.008s
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/config.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v9_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v9-mkmlizer completed after 73.3s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v9-mkmlizer
Pipeline stage MKMLizer completed in 78.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v9
Waiting for inference service cgato-l3-thespice-8b-v3-3-v9 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v9 ready after 30.174534559249878s
Pipeline stage ISVCDeployer completed in 38.35s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1894402503967285s
Received healthy response to inference request in 1.261056661605835s
Received healthy response to inference request in 1.2812490463256836s
Received healthy response to inference request in 1.2836332321166992s
Received healthy response to inference request in 1.2854454517364502s
5 requests
0 failed requests
5th percentile: 1.2650951385498046
10th percentile: 1.2691336154937745
20th percentile: 1.277210569381714
30th percentile: 1.2817258834838867
40th percentile: 1.282679557800293
50th percentile: 1.2836332321166992
60th percentile: 1.2843581199645997
70th percentile: 1.2850830078125
80th percentile: 1.466244411468506
90th percentile: 1.8278423309326173
95th percentile: 2.0086412906646727
99th percentile: 2.1532804584503173
mean time: 1.4601649284362792
Pipeline stage StressChecker completed in 8.07s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-3_v9 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v9 status is now inactive due to auto deactivation removed underperforming models

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