submission_id: cgato-l3-thespice-8b-v3-3_v4
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|>", 'prompt_template': '<|im_start|>assistant\n{prompt}<|im_end|>', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>', '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: 2024-05-07T15:22:33+00:00
model_name: cgato-l3-thespice-8b-v3-3_v4
model_eval_status: success
double_thumbs_up: 217
thumbs_up: 340
thumbs_down: 165
num_battles: 21258
num_wins: 10825
celo_rating: 1178.81
entertaining: 6.56
stay_in_character: 8.52
user_preference: 7.22
safety_score: 0.91
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_v4
double_thumbs_up_ratio: 0.30055401662049863
feedback_count: 722
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: 7.433333333333333
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4709141274238227
thumbs_down_ratio: 0.22853185595567868
thumbs_up_ratio: 0.7714681440443213
us_pacific_date: 2024-05-07
win_ratio: 0.5092200583309813
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v4-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v4-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ _____ __ __ ║
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cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
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cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ ║
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cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v4-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-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Downloaded to shared memory in 16.231s
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 137.49it/s] Loading 0: 96%|█████████▌| 279/291 [00:02<00:00, 139.41it/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-v4-mkmlizer: quantized model in 17.655s
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 34.915s
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4/config.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4/tokenizer.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v4/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-v4-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-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v4-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-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v4-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-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v4-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-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Saving duration: 0.265s
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.281s
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/config.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v4_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v4-mkmlizer completed after 62.97s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v4-mkmlizer
Pipeline stage MKMLizer completed in 67.90s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v4
Waiting for inference service cgato-l3-thespice-8b-v3-3-v4 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v4 ready after 30.201610565185547s
Pipeline stage ISVCDeployer completed in 37.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1403238773345947s
Received healthy response to inference request in 1.24288010597229s
Received healthy response to inference request in 1.2859148979187012s
Received healthy response to inference request in 1.2665698528289795s
Received healthy response to inference request in 1.311814308166504s
5 requests
0 failed requests
5th percentile: 1.247618055343628
10th percentile: 1.2523560047149658
20th percentile: 1.2618319034576415
30th percentile: 1.2704388618469238
40th percentile: 1.2781768798828126
50th percentile: 1.2859148979187012
60th percentile: 1.2962746620178223
70th percentile: 1.3066344261169434
80th percentile: 1.4775162220001223
90th percentile: 1.8089200496673585
95th percentile: 1.9746219635009763
99th percentile: 2.107183494567871
mean time: 1.449500608444214
Pipeline stage StressChecker completed in 7.86s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-3_v4 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v4 status is now inactive due to auto deactivation removed underperforming models

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