submission_id: v000000-l3-8b-poppy-suns_2519_v2
developer_uid: v000000
status: inactive
model_repo: v000000/L3-8B-Poppy-Sunspice-experiment-d
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.22, 'top_p': 1.0, 'min_p': 0.08, '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: 2024-06-06T13:34:19+00:00
model_name: v000000-l3-8b-poppy-suns_2519_v2
model_eval_status: success
model_group: v000000/L3-8B-Poppy-Suns
num_battles: 12046
num_wins: 6560
celo_rating: 1214.8
propriety_score: 0.6671641791044776
propriety_total_count: 670.0
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-l3-8b-poppy-suns_2519_v2
ineligible_reason: propriety_total_count < 800
language_model: v000000/L3-8B-Poppy-Sunspice-experiment-d
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-06
win_ratio: 0.5445791133986385
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name v000000-l3-8b-poppy-suns-2519-v2-mkmlizer
Waiting for job on v000000-l3-8b-poppy-suns-2519-v2-mkmlizer to finish
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ║ Version: 0.8.14 ║
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ║ https://mk1.ai ║
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v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ║ Chai Research Corp. ║
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v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-l3-8b-poppy-suns-2519-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.
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Downloaded to shared memory in 63.648s
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: quantizing model to /dev/shm/model_cache
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:09, 2.32s/it] Loading 0: 4%|▍ | 13/291 [00:04<01:15, 3.69it/s] Loading 0: 8%|▊ | 24/291 [00:04<00:33, 7.97it/s] Loading 0: 14%|█▎ | 40/291 [00:04<00:15, 16.18it/s] Loading 0: 18%|█▊ | 51/291 [00:05<00:10, 22.75it/s] Loading 0: 21%|██▏ | 62/291 [00:05<00:09, 25.09it/s] Loading 0: 26%|██▌ | 76/291 [00:05<00:05, 35.95it/s] Loading 0: 30%|██▉ | 87/291 [00:05<00:04, 43.93it/s] Loading 0: 35%|███▌ | 103/291 [00:05<00:03, 59.64it/s] Loading 0: 39%|███▉ | 114/291 [00:05<00:02, 66.16it/s] Loading 0: 45%|████▍ | 130/291 [00:06<00:01, 81.99it/s] Loading 0: 49%|████▉ | 142/291 [00:06<00:01, 86.59it/s] Loading 0: 54%|█████▍ | 157/291 [00:06<00:01, 98.61it/s] Loading 0: 58%|█████▊ | 169/291 [00:06<00:01, 64.40it/s] Loading 0: 63%|██████▎ | 184/291 [00:06<00:01, 78.46it/s] Loading 0: 67%|██████▋ | 195/291 [00:06<00:01, 82.40it/s] Loading 0: 73%|███████▎ | 211/291 [00:06<00:00, 97.94it/s] Loading 0: 77%|███████▋ | 223/291 [00:07<00:00, 99.70it/s] Loading 0: 82%|████████▏ | 238/291 [00:07<00:00, 110.37it/s] Loading 0: 86%|████████▋ | 251/291 [00:07<00:00, 111.61it/s] Loading 0: 91%|█████████ | 265/291 [00:07<00:00, 117.62it/s] Loading 0: 96%|█████████▌| 278/291 [00:07<00:00, 73.14it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: quantized model in 24.668s
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Processed model v000000/L3-8B-Poppy-Sunspice-experiment-d in 90.801s
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: creating bucket guanaco-mkml-models
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2/special_tokens_map.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2/config.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2/tokenizer_config.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2/tokenizer.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/v000000-l3-8b-poppy-suns-2519-v2/flywheel_model.0.safetensors
v000000-l3-8b-poppy-suns-2519-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.
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
v000000-l3-8b-poppy-suns-2519-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.
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-suns-2519-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.
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-suns-2519-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()
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: return self.fget.__get__(instance, owner)()
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Saving duration: 0.427s
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.796s
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: creating bucket guanaco-reward-models
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/config.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/merges.txt
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/tokenizer_config.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/vocab.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/special_tokens_map.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/tokenizer.json
v000000-l3-8b-poppy-suns-2519-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/v000000-l3-8b-poppy-suns-2519-v2_reward/reward.tensors
Job v000000-l3-8b-poppy-suns-2519-v2-mkmlizer completed after 134.34s with status: succeeded
Stopping job with name v000000-l3-8b-poppy-suns-2519-v2-mkmlizer
Pipeline stage MKMLizer completed in 137.74s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service v000000-l3-8b-poppy-suns-2519-v2
Waiting for inference service v000000-l3-8b-poppy-suns-2519-v2 to be ready
Inference service v000000-l3-8b-poppy-suns-2519-v2 ready after 30.327203273773193s
Pipeline stage ISVCDeployer completed in 37.42s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.076162576675415s
Received healthy response to inference request in 1.2800509929656982s
Received healthy response to inference request in 1.2837269306182861s
Received healthy response to inference request in 1.2753195762634277s
Received healthy response to inference request in 1.2909588813781738s
5 requests
0 failed requests
5th percentile: 1.2762658596038818
10th percentile: 1.277212142944336
20th percentile: 1.2791047096252441
30th percentile: 1.2807861804962157
40th percentile: 1.282256555557251
50th percentile: 1.2837269306182861
60th percentile: 1.2866197109222413
70th percentile: 1.2895124912261964
80th percentile: 1.4479996204376222
90th percentile: 1.7620810985565187
95th percentile: 1.9191218376159667
99th percentile: 2.0447544288635253
mean time: 1.4412437915802
Pipeline stage StressChecker completed in 7.84s
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
v000000-l3-8b-poppy-suns_2519_v2 status is now deployed due to DeploymentManager action
v000000-l3-8b-poppy-suns_2519_v2 status is now inactive due to auto deactivation removed underperforming models

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