submission_id: hyperblaze-l3-8b-soliloq_2337_v3
developer_uid: HyperBlaze
status: inactive
model_repo: HyperBlaze/L3-8B-Soliloquy-v2-SpicyMaid-Lewd-Mergetest
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.7, 'frequency_penalty': 0.1, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\nYou are `{bot_name}` and engage in a Roleplay with `{user_name}`.\n\nOnly write {bot_name}'s next response with action and dialogue based on the provided context.\n\nYour persona as {bot_name}: {memory}\n", 'prompt_template': 'Your example message as {bot_name}: {prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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: 2024-05-08T23:19:13+00:00
model_name: soliloquyv2-crazymerge
model_eval_status: success
double_thumbs_up: 236
thumbs_up: 301
thumbs_down: 154
num_battles: 15714
num_wins: 8282
celo_rating: 1193.97
entertaining: 7.28
stay_in_character: 8.81
user_preference: 7.48
safety_score: 0.96
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: soliloquyv2-crazymerge
double_thumbs_up_ratio: 0.341534008683068
feedback_count: 691
ineligible_reason: None
language_model: HyperBlaze/L3-8B-Soliloquy-v2-SpicyMaid-Lewd-Mergetest
model_score: 7.8566666666666665
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4356005788712012
thumbs_down_ratio: 0.22286541244573083
thumbs_up_ratio: 0.7771345875542692
us_pacific_date: 2024-05-08
win_ratio: 0.5270459462899325
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer
Waiting for job on hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer to finish
Stopping job with name hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer
Waiting for job on hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer to finish
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ _____ __ __ ║
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hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ /___/ ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ Version: 0.8.10 ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ The license key for the current software has been verified as ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ belonging to: ║
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hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ Chai Research Corp. ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ║ ║
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hyperblaze-l3-8b-soliloq-2337-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.
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Downloaded to shared memory in 11.936s
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 38%|███▊ | 111/291 [00:01<00:01, 108.73it/s] Loading 0: 64%|██████▍ | 187/291 [00:07<00:04, 21.64it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: quantized model in 20.115s
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Processed model HyperBlaze/L3-8B-Soliloquy-v2-SpicyMaid-Lewd-Mergetest in 33.088s
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: creating bucket guanaco-mkml-models
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3/config.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3/special_tokens_map.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3/tokenizer_config.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3/tokenizer.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-2337-v3/flywheel_model.0.safetensors
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hyperblaze-l3-8b-soliloq-2337-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.
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-2337-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.
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-2337-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.
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-2337-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()
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Saving duration: 0.243s
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.681s
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: creating bucket guanaco-reward-models
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/config.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/tokenizer_config.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/merges.txt
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/vocab.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/special_tokens_map.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/tokenizer.json
hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-2337-v3_reward/reward.tensors
Job hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer completed after 63.2s with status: succeeded
Stopping job with name hyperblaze-l3-8b-soliloq-2337-v3-mkmlizer
Pipeline stage MKMLizer completed in 66.56s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.23s
Running pipeline stage ISVCDeployer
Creating inference service hyperblaze-l3-8b-soliloq-2337-v3
Waiting for inference service hyperblaze-l3-8b-soliloq-2337-v3 to be ready
Inference service hyperblaze-l3-8b-soliloq-2337-v3 ready after 40.260653495788574s
Pipeline stage ISVCDeployer completed in 47.27s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1369264125823975s
Received healthy response to inference request in 1.1832969188690186s
Received healthy response to inference request in 1.2341105937957764s
Received healthy response to inference request in 1.1840717792510986s
Received healthy response to inference request in 1.1979091167449951s
5 requests
0 failed requests
5th percentile: 1.1834518909454346
10th percentile: 1.1836068630218506
20th percentile: 1.1839168071746826
30th percentile: 1.1868392467498778
40th percentile: 1.1923741817474365
50th percentile: 1.1979091167449951
60th percentile: 1.2123897075653076
70th percentile: 1.2268702983856201
80th percentile: 1.4146737575531008
90th percentile: 1.7758000850677491
95th percentile: 1.956363248825073
99th percentile: 2.1008137798309328
mean time: 1.3872629642486571
Pipeline stage StressChecker completed in 7.59s
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
hyperblaze-l3-8b-soliloq_2337_v3 status is now deployed due to DeploymentManager action
hyperblaze-l3-8b-soliloq_2337_v3 status is now inactive due to auto deactivation removed underperforming models

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