submission_id: meta-llama-meta-llama-3-_5386_v2
developer_uid: Meliodia
status: inactive
model_repo: meta-llama/Meta-Llama-3-8B-Instruct
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: 2024-04-29T19:05:32+00:00
model_name: meta-instruct
model_eval_status: success
double_thumbs_up: 105
thumbs_up: 142
thumbs_down: 78
num_battles: 7512
num_wins: 3872
celo_rating: 1169.33
entertaining: 7.04
stay_in_character: 8.58
user_preference: 7.58
safety_score: 0.96
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: meta-instruct
double_thumbs_up_ratio: 0.3230769230769231
feedback_count: 325
ineligible_reason: None
language_model: meta-llama/Meta-Llama-3-8B-Instruct
model_score: 7.733333333333334
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4369230769230769
thumbs_down_ratio: 0.24
thumbs_up_ratio: 0.76
us_pacific_date: 2024-04-29
win_ratio: 0.5154419595314164
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meta-llama-meta-llama-3-5386-v2-mkmlizer
Waiting for job on meta-llama-meta-llama-3-5386-v2-mkmlizer to finish
meta-llama-meta-llama-3-5386-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ ║
meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ Version: 0.8.10 ║
meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ Chai Research Corp. ║
meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meta-llama-meta-llama-3-5386-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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meta-llama-meta-llama-3-5386-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-meta-llama-3-5386-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.
meta-llama-meta-llama-3-5386-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
meta-llama-meta-llama-3-5386-v2-mkmlizer: Downloaded to shared memory in 42.119s
meta-llama-meta-llama-3-5386-v2-mkmlizer: quantizing model to /dev/shm/model_cache
meta-llama-meta-llama-3-5386-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-meta-llama-3-5386-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:01, 102.99it/s] Loading 0: 74%|███████▎ | 214/291 [00:02<00:00, 107.64it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 30.88it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meta-llama-meta-llama-3-5386-v2-mkmlizer: quantized model in 18.478s
meta-llama-meta-llama-3-5386-v2-mkmlizer: Processed model meta-llama/Meta-Llama-3-8B-Instruct in 62.632s
meta-llama-meta-llama-3-5386-v2-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-meta-llama-3-5386-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-meta-llama-3-5386-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2/config.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2/special_tokens_map.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2/tokenizer_config.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2/tokenizer.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-meta-llama-3-5386-v2/flywheel_model.0.safetensors
meta-llama-meta-llama-3-5386-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
meta-llama-meta-llama-3-5386-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.
meta-llama-meta-llama-3-5386-v2-mkmlizer: warnings.warn(
meta-llama-meta-llama-3-5386-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.
meta-llama-meta-llama-3-5386-v2-mkmlizer: warnings.warn(
meta-llama-meta-llama-3-5386-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.
meta-llama-meta-llama-3-5386-v2-mkmlizer: warnings.warn(
meta-llama-meta-llama-3-5386-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()
meta-llama-meta-llama-3-5386-v2-mkmlizer: return self.fget.__get__(instance, owner)()
meta-llama-meta-llama-3-5386-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meta-llama-meta-llama-3-5386-v2-mkmlizer: Saving duration: 0.281s
meta-llama-meta-llama-3-5386-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.761s
meta-llama-meta-llama-3-5386-v2-mkmlizer: creating bucket guanaco-reward-models
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meta-llama-meta-llama-3-5386-v2_reward/merges.txt
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meta-llama-meta-llama-3-5386-v2_reward/vocab.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meta-llama-meta-llama-3-5386-v2_reward/tokenizer.json
meta-llama-meta-llama-3-5386-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meta-llama-meta-llama-3-5386-v2_reward/reward.tensors
Job meta-llama-meta-llama-3-5386-v2-mkmlizer completed after 94.43s with status: succeeded
Stopping job with name meta-llama-meta-llama-3-5386-v2-mkmlizer
Pipeline stage MKMLizer completed in 97.44s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service meta-llama-meta-llama-3-5386-v2
Waiting for inference service meta-llama-meta-llama-3-5386-v2 to be ready
Inference service meta-llama-meta-llama-3-5386-v2 ready after 30.158405542373657s
Pipeline stage ISVCDeployer completed in 37.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.067617654800415s
Received healthy response to inference request in 1.256227731704712s
Received healthy response to inference request in 1.2470507621765137s
Received healthy response to inference request in 1.243129014968872s
Received healthy response to inference request in 1.2395484447479248s
5 requests
0 failed requests
5th percentile: 1.2402645587921142
10th percentile: 1.2409806728363038
20th percentile: 1.2424129009246827
30th percentile: 1.2439133644104003
40th percentile: 1.2454820632934571
50th percentile: 1.2470507621765137
60th percentile: 1.250721549987793
70th percentile: 1.2543923377990722
80th percentile: 1.4185057163238528
90th percentile: 1.743061685562134
95th percentile: 1.9053396701812741
99th percentile: 2.0351620578765868
mean time: 1.4107147216796876
Pipeline stage StressChecker completed in 7.67s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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
meta-llama-meta-llama-3-_5386_v2 status is now deployed due to DeploymentManager action
meta-llama-meta-llama-3-_5386_v2 status is now inactive due to auto deactivation removed underperforming models

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