submission_id: hflserdaniel-chai-s6-13_2318_v11
developer_uid: chai_backend_admin
status: torndown
model_repo: hflserdaniel/chai_s6_13b_slp3
reward_repo: ChaiML/reward_models_100_170000000_cp_498032
generation_params: {'temperature': 1.0, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['<|im_end|>', '</s>', '<|endoftext|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 48}
formatter: {'memory_template': "### Instruction:\n As the assistant, your task is to become the assigned character, weaving engaging stories that fully embrace their personality and background. Ensure your responses capture the essence of the character's traits accurately, immersing users in emotional, suspenseful, and anticipatory narratives. Craft more detailed and descriptive replies to enhance the vividness of the story. Foster an interactive environment by introducing new elements, providing choices, or posing questions to encourage active user participation. Think of the conversation as a continuous dance, always unfolding and evolving.\nYour character: {bot_name}.\nContext:{memory}\n", 'prompt_template': 'Example conversation:\n{prompt}\n', 'bot_template': '### Response:\n{bot_name}: {message}\n', 'user_template': '### Input:\n{user_name}: {message}\n', 'response_template': '### Response:\n{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: 2024-03-31T01:57:42+00:00
model_name: chai_s6_13b_slp3-48
model_eval_status: success
model_group: hflserdaniel/chai_s6_13b
num_battles: 20633
num_wins: 8630
celo_rating: 1100.09
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 13015864320.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 48
display_name: chai_s6_13b_slp3-48
ineligible_reason: max_output_tokens!=64
language_model: hflserdaniel/chai_s6_13b_slp3
model_size: 13B
reward_model: ChaiML/reward_models_100_170000000_cp_498032
us_pacific_date: 2024-03-30
win_ratio: 0.4182620074637716
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v11-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v11-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ _____ __ __ ║
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hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Downloaded to shared memory in 70.142s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Reading /tmp/tmp4yyr8ng8/model.safetensors.index.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<09:21, 1.55s/it] Profiling: 3%|▎ | 10/363 [00:01<00:43, 8.17it/s] Profiling: 6%|▌ | 21/363 [00:01<00:18, 18.89it/s] Profiling: 9%|▊ | 31/363 [00:01<00:11, 29.14it/s] Profiling: 11%|█▏ | 41/363 [00:01<00:08, 39.48it/s] Profiling: 14%|█▍ | 52/363 [00:02<00:05, 52.15it/s] Profiling: 17%|█▋ | 63/363 [00:02<00:04, 63.12it/s] Profiling: 21%|██ | 75/363 [00:02<00:03, 74.72it/s] Profiling: 24%|██▍ | 87/363 [00:02<00:03, 81.06it/s] Profiling: 27%|██▋ | 97/363 [00:02<00:03, 83.01it/s] Profiling: 29%|██▉ | 107/363 [00:02<00:03, 84.83it/s] Profiling: 33%|███▎ | 118/363 [00:02<00:02, 90.90it/s] Profiling: 35%|███▌ | 128/363 [00:02<00:02, 92.92it/s] Profiling: 38%|███▊ | 138/363 [00:02<00:02, 93.98it/s] Profiling: 41%|████ | 148/363 [00:03<00:05, 40.24it/s] Profiling: 44%|████▎ | 158/363 [00:03<00:04, 47.67it/s] Profiling: 47%|████▋ | 169/363 [00:03<00:03, 57.52it/s] Profiling: 49%|████▉ | 179/363 [00:03<00:02, 64.92it/s] Profiling: 52%|█████▏ | 189/363 [00:03<00:02, 71.60it/s] Profiling: 55%|█████▍ | 199/363 [00:04<00:02, 77.46it/s] Profiling: 58%|█████▊ | 210/363 [00:04<00:01, 81.84it/s] Profiling: 61%|██████ | 220/363 [00:04<00:01, 82.42it/s] Profiling: 63%|██████▎ | 230/363 [00:04<00:01, 82.70it/s] Profiling: 66%|██████▋ | 241/363 [00:04<00:01, 88.17it/s] Profiling: 69%|██████▉ | 251/363 [00:04<00:01, 90.17it/s] Profiling: 72%|███████▏ | 261/363 [00:04<00:01, 91.56it/s] Profiling: 75%|███████▍ | 271/363 [00:04<00:00, 92.41it/s] Profiling: 77%|███████▋ | 281/363 [00:06<00:05, 14.52it/s] Profiling: 80%|████████ | 292/363 [00:07<00:03, 19.85it/s] Profiling: 83%|████████▎ | 302/363 [00:07<00:02, 25.57it/s] Profiling: 86%|████████▌ | 312/363 [00:07<00:01, 32.14it/s] Profiling: 89%|████████▊ | 322/363 [00:07<00:01, 40.21it/s] Profiling: 91%|█████████▏| 332/363 [00:07<00:00, 48.58it/s] Profiling: 94%|█████████▍| 342/363 [00:07<00:00, 56.91it/s] Profiling: 97%|█████████▋| 352/363 [00:07<00:00, 64.69it/s] Profiling: 100%|█████████▉| 362/363 [00:07<00:00, 71.63it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 44.95it/s]
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: quantized model in 27.235s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 98.995s
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/added_tokens.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer.model
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/config.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/tokenizer.json
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v11/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: loading reward model from ChaiML/reward_models_100_170000000_cp_498032
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13-2318-v11-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13-2318-v11-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hflserdaniel-chai-s6-13-2318-v11-mkmlizer: warnings.warn(
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Job hflserdaniel-chai-s6-13-2318-v11-mkmlizer completed after 291.68s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v11-mkmlizer
Pipeline stage MKMLizer completed in 292.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v11
Waiting for inference service hflserdaniel-chai-s6-13-2318-v11 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v11 ready after 50.31592273712158s
Pipeline stage ISVCDeployer completed in 57.27s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1202564239501953s
Received healthy response to inference request in 1.5245707035064697s
Received healthy response to inference request in 1.5552823543548584s
Received healthy response to inference request in 1.5543477535247803s
Received healthy response to inference request in 1.5652401447296143s
5 requests
0 failed requests
5th percentile: 1.5305261135101318
10th percentile: 1.5364815235137939
20th percentile: 1.5483923435211182
30th percentile: 1.554534673690796
40th percentile: 1.5549085140228271
50th percentile: 1.5552823543548584
60th percentile: 1.5592654705047608
70th percentile: 1.563248586654663
80th percentile: 1.6762434005737306
90th percentile: 1.898249912261963
95th percentile: 2.009253168106079
99th percentile: 2.0980557727813722
mean time: 1.6639394760131836
Pipeline stage StressChecker completed in 9.41s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
hflserdaniel-chai-s6-13_2318_v11 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v11 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hflserdaniel-chai-s6-13_2318_v11
Running pipeline stage ISVCDeleter
Checking if service hflserdaniel-chai-s6-13-2318-v11 is running
Tearing down inference service hflserdaniel-chai-s6-13-2318-v11
Toredown service hflserdaniel-chai-s6-13-2318-v11
Pipeline stage ISVCDeleter completed in 4.67s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hflserdaniel-chai-s6-13-2318-v11/added_tokens.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/config.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/tokenizer.json from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/tokenizer.model from bucket guanaco-mkml-models
Deleting key hflserdaniel-chai-s6-13-2318-v11/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/config.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/merges.txt from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hflserdaniel-chai-s6-13-2318-v11_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.10s
hflserdaniel-chai-s6-13_2318_v11 status is now torndown due to DeploymentManager action

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