submission_id: cgato-l3-thespice-8b-v3-3_v8
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}\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: 2024-05-07T18:15:01+00:00
model_name: cgato-l3-thespice-8b-v3-3_v8
model_eval_status: success
double_thumbs_up: 296
thumbs_up: 461
thumbs_down: 221
num_battles: 30075
num_wins: 15700
celo_rating: 1185.06
entertaining: 6.82
stay_in_character: 8.58
user_preference: 7.26
safety_score: 0.89
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_v8
double_thumbs_up_ratio: 0.30265848670756645
feedback_count: 978
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: 7.553333333333334
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.47137014314928427
thumbs_down_ratio: 0.22597137014314927
thumbs_up_ratio: 0.7740286298568507
us_pacific_date: 2024-05-07
win_ratio: 0.5220282626766417
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v8-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v8-mkmlizer to finish
Stopping job with name cgato-l3-thespice-8b-v3-3-v8-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-l3-thespice-8b-v3-3-v8-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v8-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-3-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v8-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-v8-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Downloaded to shared memory in 14.084s
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:01, 111.98it/s] Loading 0: 79%|███████▉ | 230/291 [00:02<00:00, 114.30it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 29.83it/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-v8-mkmlizer: quantized model in 18.078s
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 33.231s
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8/config.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8/tokenizer.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v8/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-v8-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-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v8-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-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v8-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-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v8-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-v8-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Saving duration: 0.223s
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.251s
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/config.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v8-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v8_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v8-mkmlizer completed after 65.38s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v8-mkmlizer
Pipeline stage MKMLizer completed in 71.05s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.25s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v8
Waiting for inference service cgato-l3-thespice-8b-v3-3-v8 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v8 ready after 80.81852650642395s
Pipeline stage ISVCDeployer completed in 90.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3782572746276855s
Received healthy response to inference request in 1.322394847869873s
Received healthy response to inference request in 1.4761097431182861s
Received healthy response to inference request in 1.2948424816131592s
Received healthy response to inference request in 1.3217530250549316s
5 requests
0 failed requests
5th percentile: 1.3002245903015137
10th percentile: 1.3056066989898683
20th percentile: 1.316370916366577
30th percentile: 1.32188138961792
40th percentile: 1.3221381187438965
50th percentile: 1.322394847869873
60th percentile: 1.3838808059692382
70th percentile: 1.4453667640686034
80th percentile: 1.6565392494201663
90th percentile: 2.0173982620239257
95th percentile: 2.1978277683258054
99th percentile: 2.3421713733673095
mean time: 1.558671474456787
Pipeline stage StressChecker completed in 9.01s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.07s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.10s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-3_v8 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v8 status is now inactive due to auto deactivation removed underperforming models

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