submission_id: hyperblaze-l3-8b-soliloq_5266_v3
developer_uid: HyperBlaze
status: inactive
model_repo: HyperBlaze/L3-8B-soliloquy-lumimaid-spice-mergetestv1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 1.05, 'frequency_penalty': 0.3, 'stopping_words': ['\n', 'user:', 'you:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\nYou are `{bot_name}` and respond as character to the inputs of`{user_name}`.\n\n Always stay and respond as {bot_name}.\n{user_name} only speaks and acts at the direction of the user. {bot_name} should give the user a chance to interact, and not get ahead of the instructions.\n{bot_name} cannot make up {user_name}'s action, nor speeches. \n\n Your persona and memory {bot_name}: {memory}\n ## [CoT instruction]\n Before responding to the user, Concisely summarize this scene, considering the main personalities of {bot_name}, recent developments while chatting with {user_name}, scene compositions.\n Follow these Chain of thought instruction.", 'prompt_template': 'Your 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|>{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>{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: 2024-05-09T17:13:23+00:00
model_name: soliloquy-lumimaid-spicyfix1
model_eval_status: success
double_thumbs_up: 287
thumbs_up: 416
thumbs_down: 230
num_battles: 27916
num_wins: 14475
celo_rating: 1182.94
entertaining: 7.32
stay_in_character: 8.33
user_preference: 7.44
safety_score: 0.93
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: soliloquy-lumimaid-spicyfix1
double_thumbs_up_ratio: 0.30760986066452306
feedback_count: 933
ineligible_reason: None
language_model: HyperBlaze/L3-8B-soliloquy-lumimaid-spice-mergetestv1
model_score: 7.696666666666666
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.44587352625937837
thumbs_down_ratio: 0.2465166130760986
thumbs_up_ratio: 0.7534833869239014
us_pacific_date: 2024-05-09
win_ratio: 0.5185198452500358
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer
Waiting for job on hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer to finish
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ _____ __ __ ║
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hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ /___/ ║
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ ║
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ Version: 0.8.10 ║
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ Chai Research Corp. ║
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hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hyperblaze-l3-8b-soliloq-5266-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-5266-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Downloaded to shared memory in 11.335s
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 59%|█████▉ | 172/291 [00:01<00:00, 171.24it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: quantized model in 17.471s
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Processed model HyperBlaze/L3-8B-soliloquy-lumimaid-spice-mergetestv1 in 29.831s
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: creating bucket guanaco-mkml-models
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-5266-v3
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-5266-v3/config.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-5266-v3/special_tokens_map.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-5266-v3/tokenizer_config.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hyperblaze-l3-8b-soliloq-5266-v3/tokenizer.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hyperblaze-l3-8b-soliloq-5266-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-5266-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-5266-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-5266-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-5266-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-5266-v3-mkmlizer: warnings.warn(
hyperblaze-l3-8b-soliloq-5266-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-5266-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Saving duration: 0.231s
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.985s
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: creating bucket guanaco-reward-models
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/config.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/vocab.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/merges.txt
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/special_tokens_map.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/tokenizer.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/tokenizer_config.json
hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hyperblaze-l3-8b-soliloq-5266-v3_reward/reward.tensors
Job hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer completed after 65.03s with status: succeeded
Stopping job with name hyperblaze-l3-8b-soliloq-5266-v3-mkmlizer
Pipeline stage MKMLizer completed in 70.63s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hyperblaze-l3-8b-soliloq-5266-v3
Waiting for inference service hyperblaze-l3-8b-soliloq-5266-v3 to be ready
Inference service hyperblaze-l3-8b-soliloq-5266-v3 ready after 30.26513123512268s
Pipeline stage ISVCDeployer completed in 38.86s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1408591270446777s
Received healthy response to inference request in 1.2938003540039062s
Received healthy response to inference request in 1.2266063690185547s
Received healthy response to inference request in 1.3223350048065186s
Received healthy response to inference request in 1.3053538799285889s
5 requests
0 failed requests
5th percentile: 1.240045166015625
10th percentile: 1.2534839630126953
20th percentile: 1.2803615570068358
30th percentile: 1.2961110591888427
40th percentile: 1.300732469558716
50th percentile: 1.3053538799285889
60th percentile: 1.3121463298797607
70th percentile: 1.3189387798309327
80th percentile: 1.4860398292541506
90th percentile: 1.8134494781494142
95th percentile: 1.9771543025970457
99th percentile: 2.1081181621551512
mean time: 1.4577909469604493
Pipeline stage StressChecker completed in 8.42s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
hyperblaze-l3-8b-soliloq_5266_v3 status is now deployed due to DeploymentManager action
hyperblaze-l3-8b-soliloq_5266_v3 status is now inactive due to auto deactivation removed underperforming models

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