submission_id: cycy233-llm3-1_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/llm3.1
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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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: 2024-05-09T09:56:12+00:00
model_name: base
model_eval_status: success
double_thumbs_up: 72
thumbs_up: 118
thumbs_down: 77
num_battles: 7316
num_wins: 3295
celo_rating: 1129.04
entertaining: 6.62
stay_in_character: 8.12
user_preference: 6.42
safety_score: 0.73
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 6738415616.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
double_thumbs_up_ratio: 0.2696629213483146
feedback_count: 267
ineligible_reason: None
language_model: cycy233/llm3.1
model_score: 7.053333333333332
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4419475655430712
thumbs_down_ratio: 0.2883895131086142
thumbs_up_ratio: 0.7116104868913857
us_pacific_date: 2024-05-09
win_ratio: 0.4503827227993439
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-llm3-1-v2-mkmlizer
Waiting for job on cycy233-llm3-1-v2-mkmlizer to finish
cycy233-llm3-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-llm3-1-v2-mkmlizer: ║ _____ __ __ ║
cycy233-llm3-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-llm3-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-llm3-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-llm3-1-v2-mkmlizer: ║ /___/ ║
cycy233-llm3-1-v2-mkmlizer: ║ ║
cycy233-llm3-1-v2-mkmlizer: ║ Version: 0.8.10 ║
cycy233-llm3-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-llm3-1-v2-mkmlizer: ║ ║
cycy233-llm3-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-llm3-1-v2-mkmlizer: ║ belonging to: ║
cycy233-llm3-1-v2-mkmlizer: ║ ║
cycy233-llm3-1-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-llm3-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-llm3-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-llm3-1-v2-mkmlizer: ║ ║
cycy233-llm3-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-llm3-1-v2-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.
cycy233-llm3-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-llm3-1-v2-mkmlizer: Downloaded to shared memory in 16.463s
cycy233-llm3-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-llm3-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-llm3-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 74%|███████▍ | 215/291 [00:01<00:00, 129.58it/s] Loading 0: 100%|██████████| 291/291 [00:02<00:00, 95.99it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-llm3-1-v2-mkmlizer: quantized model in 9.944s
cycy233-llm3-1-v2-mkmlizer: Processed model cycy233/llm3.1 in 27.263s
cycy233-llm3-1-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-llm3-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-llm3-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-llm3-1-v2
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-llm3-1-v2/tokenizer_config.json
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-llm3-1-v2/tokenizer.json
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-llm3-1-v2/config.json
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-llm3-1-v2/special_tokens_map.json
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-llm3-1-v2/tokenizer.model
cycy233-llm3-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-llm3-1-v2/flywheel_model.0.safetensors
cycy233-llm3-1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-llm3-1-v2-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.
cycy233-llm3-1-v2-mkmlizer: warnings.warn(
cycy233-llm3-1-v2-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.
cycy233-llm3-1-v2-mkmlizer: warnings.warn(
cycy233-llm3-1-v2-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.
cycy233-llm3-1-v2-mkmlizer: warnings.warn(
cycy233-llm3-1-v2-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()
cycy233-llm3-1-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-llm3-1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-llm3-1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-llm3-1-v2_reward/vocab.json
cycy233-llm3-1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-llm3-1-v2_reward/merges.txt
cycy233-llm3-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-llm3-1-v2_reward/tokenizer.json
cycy233-llm3-1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-llm3-1-v2_reward/reward.tensors
Job cycy233-llm3-1-v2-mkmlizer completed after 52.75s with status: succeeded
Stopping job with name cycy233-llm3-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 55.43s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-llm3-1-v2
Waiting for inference service cycy233-llm3-1-v2 to be ready
Inference service cycy233-llm3-1-v2 ready after 30.16658306121826s
Pipeline stage ISVCDeployer completed in 37.25s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9488239288330078s
Received healthy response to inference request in 1.1701114177703857s
Received healthy response to inference request in 1.1742799282073975s
Received healthy response to inference request in 1.1680421829223633s
Received healthy response to inference request in 1.1679043769836426s
5 requests
0 failed requests
5th percentile: 1.1679319381713866
10th percentile: 1.167959499359131
20th percentile: 1.1680146217346192
30th percentile: 1.1684560298919677
40th percentile: 1.1692837238311768
50th percentile: 1.1701114177703857
60th percentile: 1.1717788219451903
70th percentile: 1.1734462261199952
80th percentile: 1.3291887283325197
90th percentile: 1.6390063285827638
95th percentile: 1.7939151287078856
99th percentile: 1.9178421688079834
mean time: 1.3258323669433594
Pipeline stage StressChecker completed in 7.26s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.06s
cycy233-llm3-1_v2 status is now deployed due to DeploymentManager action
cycy233-llm3-1_v2 status is now inactive due to auto deactivation removed underperforming models

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