submission_id: v000000-mergekit-model-s_8121_v1
developer_uid: v000000
status: inactive
model_repo: v000000/mergekit-model_stock-fgdyzsl
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.22, 'top_p': 0.95, 'min_p': 0.08, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>', '<|end_of_text|>'], '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: 2024-06-12T16:19:54+00:00
model_name: v000000-mergekit-model-s_8121_v1
model_eval_status: pending
model_group: v000000/mergekit-model_s
num_battles: 40963
num_wins: 22077
celo_rating: 1194.48
propriety_score: 0.694467382328654
propriety_total_count: 16954.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: v000000-mergekit-model-s_8121_v1
ineligible_reason: None
language_model: v000000/mergekit-model_stock-fgdyzsl
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5389497839513707
Resubmit model
Running pipeline stage MKMLizer
Starting job with name v000000-mergekit-model-s-8121-v1-mkmlizer
Waiting for job on v000000-mergekit-model-s-8121-v1-mkmlizer to finish
v000000-mergekit-model-s-8121-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ _____ __ __ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ /___/ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Version: 0.8.14 ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ https://mk1.ai ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ The license key for the current software has been verified as ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ belonging to: ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Chai Research Corp. ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-mergekit-model-s-8121-v1-mkmlizer: Downloaded to shared memory in 27.309s
v000000-mergekit-model-s-8121-v1-mkmlizer: quantizing model to /dev/shm/model_cache
v000000-mergekit-model-s-8121-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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v000000-mergekit-model-s-8121-v1-mkmlizer: quantized model in 20.298s
v000000-mergekit-model-s-8121-v1-mkmlizer: Processed model v000000/mergekit-model_stock-fgdyzsl in 48.723s
v000000-mergekit-model-s-8121-v1-mkmlizer: creating bucket guanaco-mkml-models
v000000-mergekit-model-s-8121-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
v000000-mergekit-model-s-8121-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/tokenizer_config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/special_tokens_map.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/tokenizer.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/flywheel_model.0.safetensors
v000000-mergekit-model-s-8121-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
Job v000000-mergekit-model-s-8121-v1-mkmlizer completed after 73.08s with status: failed
Stopping job with name v000000-mergekit-model-s-8121-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name v000000-mergekit-model-s-8121-v1-mkmlizer
Waiting for job on v000000-mergekit-model-s-8121-v1-mkmlizer to finish
v000000-mergekit-model-s-8121-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ _____ __ __ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ /___/ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Version: 0.8.14 ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ https://mk1.ai ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ The license key for the current software has been verified as ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ belonging to: ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Chai Research Corp. ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ║ ║
v000000-mergekit-model-s-8121-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-mergekit-model-s-8121-v1-mkmlizer: Downloaded to shared memory in 16.689s
v000000-mergekit-model-s-8121-v1-mkmlizer: quantizing model to /dev/shm/model_cache
v000000-mergekit-model-s-8121-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
v000000-mergekit-model-s-8121-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<10:51, 2.25s/it] Loading 0: 5%|▌ | 15/291 [00:04<01:02, 4.42it/s] Loading 0: 11%|█▏ | 33/291 [00:04<00:21, 11.76it/s] Loading 0: 18%|█▊ | 51/291 [00:04<00:11, 21.16it/s] Loading 0: 22%|██▏ | 65/291 [00:05<00:08, 25.33it/s] Loading 0: 26%|██▋ | 77/291 [00:05<00:06, 33.03it/s] Loading 0: 32%|███▏ | 94/291 [00:05<00:04, 47.15it/s] Loading 0: 38%|███▊ | 112/291 [00:05<00:02, 63.67it/s] Loading 0: 45%|████▍ | 130/291 [00:05<00:01, 80.60it/s] Loading 0: 50%|█████ | 146/291 [00:05<00:01, 94.64it/s] Loading 0: 56%|█████▌ | 162/291 [00:05<00:01, 107.49it/s] Loading 0: 61%|██████ | 178/291 [00:06<00:01, 74.37it/s] Loading 0: 67%|██████▋ | 195/291 [00:06<00:01, 89.28it/s] Loading 0: 73%|███████▎ | 213/291 [00:06<00:00, 104.43it/s] Loading 0: 79%|███████▉ | 230/291 [00:06<00:00, 115.08it/s] Loading 0: 85%|████████▌ | 248/291 [00:06<00:00, 127.44it/s] Loading 0: 91%|█████████ | 264/291 [00:06<00:00, 122.60it/s] Loading 0: 96%|█████████▌| 278/291 [00:07<00:00, 75.32it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
v000000-mergekit-model-s-8121-v1-mkmlizer: quantized model in 23.139s
v000000-mergekit-model-s-8121-v1-mkmlizer: Processed model v000000/mergekit-model_stock-fgdyzsl in 42.441s
v000000-mergekit-model-s-8121-v1-mkmlizer: creating bucket guanaco-mkml-models
v000000-mergekit-model-s-8121-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
v000000-mergekit-model-s-8121-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/special_tokens_map.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/tokenizer_config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/tokenizer.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/v000000-mergekit-model-s-8121-v1/flywheel_model.0.safetensors
v000000-mergekit-model-s-8121-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
v000000-mergekit-model-s-8121-v1-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.
v000000-mergekit-model-s-8121-v1-mkmlizer: warnings.warn(
v000000-mergekit-model-s-8121-v1-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()
v000000-mergekit-model-s-8121-v1-mkmlizer: return self.fget.__get__(instance, owner)()
v000000-mergekit-model-s-8121-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
v000000-mergekit-model-s-8121-v1-mkmlizer: Saving duration: 0.418s
v000000-mergekit-model-s-8121-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.895s
v000000-mergekit-model-s-8121-v1-mkmlizer: creating bucket guanaco-reward-models
v000000-mergekit-model-s-8121-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
v000000-mergekit-model-s-8121-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/special_tokens_map.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/tokenizer_config.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/merges.txt
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/vocab.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/tokenizer.json
v000000-mergekit-model-s-8121-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/v000000-mergekit-model-s-8121-v1_reward/reward.tensors
Job v000000-mergekit-model-s-8121-v1-mkmlizer completed after 73.47s with status: succeeded
Stopping job with name v000000-mergekit-model-s-8121-v1-mkmlizer
Pipeline stage MKMLizer completed in 150.36s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service v000000-mergekit-model-s-8121-v1
Waiting for inference service v000000-mergekit-model-s-8121-v1 to be ready
Inference service v000000-mergekit-model-s-8121-v1 ready after 30.198466300964355s
Pipeline stage ISVCDeployer completed in 37.78s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2102487087249756s
Received healthy response to inference request in 1.2866826057434082s
Received healthy response to inference request in 1.2577099800109863s
Received healthy response to inference request in 1.290539026260376s
Received healthy response to inference request in 1.3075897693634033s
5 requests
0 failed requests
5th percentile: 1.2635045051574707
10th percentile: 1.269299030303955
20th percentile: 1.2808880805969238
30th percentile: 1.2874538898468018
40th percentile: 1.2889964580535889
50th percentile: 1.290539026260376
60th percentile: 1.297359323501587
70th percentile: 1.3041796207427978
80th percentile: 1.488121557235718
90th percentile: 1.8491851329803468
95th percentile: 2.029716920852661
99th percentile: 2.1741423511505125
mean time: 1.4705540180206298
Pipeline stage StressChecker completed in 8.17s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
v000000-mergekit-model-s_8121_v1 status is now deployed due to DeploymentManager action
v000000-mergekit-model-s_8121_v1 status is now inactive due to auto deactivation removed underperforming models

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