submission_id: cgato-l3-thespice-8b-v3-3_v3
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', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}<|im_end|>\n", 'prompt_template': '<|im_start|>assistant\n{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: 2024-05-07T15:04:48+00:00
model_name: cgato-l3-thespice-8b-v3-3_v3
model_eval_status: success
double_thumbs_up: 292
thumbs_up: 438
thumbs_down: 170
num_battles: 26797
num_wins: 13875
celo_rating: 1184.67
entertaining: 6.84
stay_in_character: 8.33
user_preference: 7.12
safety_score: 0.93
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_v3
double_thumbs_up_ratio: 0.3244444444444444
feedback_count: 900
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: 7.43
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4866666666666667
thumbs_down_ratio: 0.18888888888888888
thumbs_up_ratio: 0.8111111111111111
us_pacific_date: 2024-05-07
win_ratio: 0.5177818412508863
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v3-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ _____ __ __ ║
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cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-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-v3-3-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Downloaded to shared memory in 16.948s
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 41%|████ | 120/291 [00:01<00:01, 119.52it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 117.99it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 27.52it/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-v3-mkmlizer: quantized model in 23.070s
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 42.573s
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3/config.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3/tokenizer.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-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-v3-3-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-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-v3-3-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-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-v3-3-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-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-v3-3-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Saving duration: 0.400s
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.097s
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/config.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v3-mkmlizer completed after 63.17s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v3-mkmlizer
Pipeline stage MKMLizer completed in 67.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v3
Waiting for inference service cgato-l3-thespice-8b-v3-3-v3 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v3 ready after 40.27469849586487s
Pipeline stage ISVCDeployer completed in 48.15s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.167325496673584s
Received healthy response to inference request in 1.2717912197113037s
Received healthy response to inference request in 1.276249885559082s
Received healthy response to inference request in 1.2824881076812744s
Received healthy response to inference request in 1.2568261623382568s
5 requests
0 failed requests
5th percentile: 1.2598191738128661
10th percentile: 1.2628121852874756
20th percentile: 1.2687982082366944
30th percentile: 1.2726829528808594
40th percentile: 1.2744664192199706
50th percentile: 1.276249885559082
60th percentile: 1.278745174407959
70th percentile: 1.281240463256836
80th percentile: 1.4594555854797364
90th percentile: 1.8133905410766602
95th percentile: 1.990358018875122
99th percentile: 2.1319320011138916
mean time: 1.4509361743927003
Pipeline stage StressChecker completed in 7.90s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-3_v3 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v3 status is now inactive due to auto deactivation removed underperforming models

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