submission_id: cgato-l3-thespice-8b-v3-3_v6
developer_uid: c.gato
status: rejected
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': ['<|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|>system\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: 2024-05-07T16:44:44+00:00
model_name: cgato-l3-thespice-8b-v3-3_v3
model_eval_status: error
double_thumbs_up: 21
thumbs_up: 28
thumbs_down: 15
num_battles: 2039
num_wins: 1066
celo_rating: 1173.67
entertaining: None
stay_in_character: None
user_preference: None
safety_score: 0.9
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: 0.328125
feedback_count: 64
ineligible_reason: model is not deployable
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: None
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4375
thumbs_down_ratio: 0.234375
thumbs_up_ratio: 0.765625
us_pacific_date: 2024-05-07
win_ratio: 0.5228052967140755
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v6-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v6-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v6-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-v6-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: Downloaded to shared memory in 24.266s
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 73.09it/s] Loading 0: 62%|██████▏ | 179/291 [00:02<00:01, 85.29it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 80.87it/s] Loading 0: 99%|█████████▊| 287/291 [00:09<00:00, 20.78it/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-v6-mkmlizer: quantized model in 25.829s
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 52.903s
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v6
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v6/config.json
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v6/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v6/tokenizer.json
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v6/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-v6-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-v6-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v6-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-v6-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v6-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-v6-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v6-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-v6-mkmlizer: return self.fget.__get__(instance, owner)()
Job cgato-l3-thespice-8b-v3-3-v6-mkmlizer completed after 305.25s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v6-mkmlizer
Pipeline stage MKMLizer completed in 310.44s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.22s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v6
Waiting for inference service cgato-l3-thespice-8b-v3-3-v6 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v6 ready after 30.289966821670532s
Pipeline stage ISVCDeployer completed in 38.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2404940128326416s
Received healthy response to inference request in 1.292250633239746s
Received healthy response to inference request in 1.3095412254333496s
Received healthy response to inference request in 1.2812354564666748s
Received healthy response to inference request in 1.3003425598144531s
5 requests
0 failed requests
5th percentile: 1.283438491821289
10th percentile: 1.2856415271759034
20th percentile: 1.2900475978851318
30th percentile: 1.2938690185546875
40th percentile: 1.2971057891845703
50th percentile: 1.3003425598144531
60th percentile: 1.3040220260620117
70th percentile: 1.3077014923095702
80th percentile: 1.4957317829132082
90th percentile: 1.868112897872925
95th percentile: 2.054303455352783
99th percentile: 2.2032559013366697
mean time: 1.4847727775573731
Pipeline stage StressChecker completed in 8.02s
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-v3-3_v6 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v6 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.

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