submission_id: r136a1-midnight-2x8b-l3_v1
developer_uid: R136a1
status: inactive
model_repo: R136a1/MidNight-2x8B-L3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.075, 'top_k': 70, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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: 2024-06-25T07:15:56+00:00
model_name: r136a1-midnight-2x8b-l3_v1
model_group: R136a1/MidNight-2x8B-L3
num_battles: 11047
num_wins: 5954
celo_rating: 1206.65
propriety_score: 0.7070449474019764
propriety_total_count: 9411.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 13667667968.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: r136a1-midnight-2x8b-l3_v1
ineligible_reason: None
language_model: R136a1/MidNight-2x8B-L3
model_size: 14B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-25
win_ratio: 0.5389698560695212
Resubmit model
Running pipeline stage MKMLizer
Starting job with name r136a1-midnight-2x8b-l3-v1-mkmlizer
Waiting for job on r136a1-midnight-2x8b-l3-v1-mkmlizer to finish
r136a1-midnight-2x8b-l3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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r136a1-midnight-2x8b-l3-v1-mkmlizer: ║ Version: 0.8.14 ║
r136a1-midnight-2x8b-l3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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r136a1-midnight-2x8b-l3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
r136a1-midnight-2x8b-l3-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.
r136a1-midnight-2x8b-l3-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
r136a1-midnight-2x8b-l3-v1-mkmlizer: Downloaded to shared memory in 50.290s
r136a1-midnight-2x8b-l3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
r136a1-midnight-2x8b-l3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
r136a1-midnight-2x8b-l3-v1-mkmlizer: Loading 0: 0%| | 0/419 [00:00<?, ?it/s] Loading 0: 1%|▏ | 6/419 [00:00<00:07, 54.00it/s] Loading 0: 4%|▍ | 16/419 [00:00<00:05, 76.79it/s] Loading 0: 6%|▋ | 27/419 [00:00<00:04, 85.04it/s] Loading 0: 9%|▉ | 38/419 [00:00<00:04, 88.54it/s] Loading 0: 11%|█ | 47/419 [00:00<00:04, 83.50it/s] Loading 0: 13%|█▎ | 56/419 [00:00<00:04, 77.53it/s] Loading 0: 15%|█▌ | 64/419 [00:01<00:07, 47.25it/s] Loading 0: 17%|█▋ | 73/419 [00:01<00:06, 55.37it/s] Loading 0: 20%|██ | 84/419 [00:01<00:05, 65.84it/s] Loading 0: 22%|██▏ | 93/419 [00:01<00:04, 71.47it/s] Loading 0: 24%|██▍ | 102/419 [00:01<00:04, 73.37it/s] Loading 0: 26%|██▋ | 111/419 [00:01<00:04, 67.57it/s] Loading 0: 29%|██▉ | 121/419 [00:01<00:04, 72.42it/s] Loading 0: 32%|███▏ | 132/419 [00:01<00:03, 77.81it/s] Loading 0: 34%|███▎ | 141/419 [00:02<00:05, 51.25it/s] Loading 0: 35%|███▌ | 148/419 [00:02<00:05, 50.40it/s] Loading 0: 38%|███▊ | 159/419 [00:02<00:04, 59.95it/s] Loading 0: 40%|███▉ | 166/419 [00:02<00:04, 61.97it/s] Loading 0: 42%|████▏ | 174/419 [00:02<00:03, 63.57it/s] Loading 0: 44%|████▍ | 184/419 [00:02<00:03, 72.19it/s] Loading 0: 47%|████▋ | 195/419 [00:02<00:02, 78.27it/s] Loading 0: 49%|████▉ | 206/419 [00:03<00:02, 82.56it/s] Loading 0: 51%|█████▏ | 215/419 [00:03<00:03, 53.01it/s] Loading 0: 53%|█████▎ | 222/419 [00:03<00:03, 51.61it/s] Loading 0: 55%|█████▌ | 232/419 [00:03<00:03, 59.61it/s] Loading 0: 58%|█████▊ | 243/419 [00:03<00:02, 68.05it/s] Loading 0: 60%|██████ | 253/419 [00:03<00:02, 75.28it/s] Loading 0: 63%|██████▎ | 262/419 [00:03<00:02, 71.97it/s] Loading 0: 64%|██████▍ | 270/419 [00:04<00:02, 70.89it/s] Loading 0: 67%|██████▋ | 281/419 [00:04<00:01, 77.38it/s] Loading 0: 69%|██████▉ | 290/419 [00:04<00:02, 51.71it/s] Loading 0: 71%|███████ | 297/419 [00:04<00:02, 53.44it/s] Loading 0: 73%|███████▎ | 306/419 [00:04<00:01, 59.32it/s] Loading 0: 76%|███████▌ | 317/419 [00:04<00:01, 67.81it/s] Loading 0: 78%|███████▊ | 327/419 [00:04<00:01, 72.17it/s] Loading 0: 81%|████████ | 338/419 [00:05<00:01, 77.40it/s] Loading 0: 83%|████████▎ | 347/419 [00:05<00:00, 77.58it/s] Loading 0: 85%|████████▍ | 356/419 [00:05<00:00, 73.15it/s] Loading 0: 88%|████████▊ | 367/419 [00:20<00:00, 73.15it/s] Loading 0: 88%|████████▊ | 368/419 [00:26<00:31, 1.62it/s] Loading 0: 95%|█████████▍| 397/419 [00:26<00:06, 3.55it/s] Loading 0: 98%|█████████▊| 410/419 [00:26<00:01, 4.73it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
r136a1-midnight-2x8b-l3-v1-mkmlizer: quantized model in 33.640s
r136a1-midnight-2x8b-l3-v1-mkmlizer: Processed model R136a1/MidNight-2x8B-L3 in 88.161s
r136a1-midnight-2x8b-l3-v1-mkmlizer: creating bucket guanaco-mkml-models
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/r136a1-midnight-2x8b-l3-v1/flywheel_model.1.safetensors
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/r136a1-midnight-2x8b-l3-v1/flywheel_model.0.safetensors
r136a1-midnight-2x8b-l3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
r136a1-midnight-2x8b-l3-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.
r136a1-midnight-2x8b-l3-v1-mkmlizer: warnings.warn(
r136a1-midnight-2x8b-l3-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.
r136a1-midnight-2x8b-l3-v1-mkmlizer: warnings.warn(
r136a1-midnight-2x8b-l3-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.
r136a1-midnight-2x8b-l3-v1-mkmlizer: warnings.warn(
r136a1-midnight-2x8b-l3-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()
r136a1-midnight-2x8b-l3-v1-mkmlizer: return self.fget.__get__(instance, owner)()
r136a1-midnight-2x8b-l3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
r136a1-midnight-2x8b-l3-v1-mkmlizer: Saving duration: 0.401s
r136a1-midnight-2x8b-l3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.306s
r136a1-midnight-2x8b-l3-v1-mkmlizer: creating bucket guanaco-reward-models
r136a1-midnight-2x8b-l3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
r136a1-midnight-2x8b-l3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/special_tokens_map.json
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/config.json
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/merges.txt
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/tokenizer_config.json
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/vocab.json
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/tokenizer.json
r136a1-midnight-2x8b-l3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/r136a1-midnight-2x8b-l3-v1_reward/reward.tensors
Job r136a1-midnight-2x8b-l3-v1-mkmlizer completed after 124.36s with status: succeeded
Stopping job with name r136a1-midnight-2x8b-l3-v1-mkmlizer
Pipeline stage MKMLizer completed in 124.91s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service r136a1-midnight-2x8b-l3-v1
Waiting for inference service r136a1-midnight-2x8b-l3-v1 to be ready
Inference service r136a1-midnight-2x8b-l3-v1 ready after 50.219841957092285s
Pipeline stage ISVCDeployer completed in 56.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5690386295318604s
Received healthy response to inference request in 2.1314640045166016s
Received healthy response to inference request in 2.133295774459839s
Received healthy response to inference request in 2.1259958744049072s
Received healthy response to inference request in 2.077901840209961s
5 requests
0 failed requests
5th percentile: 2.08752064704895
10th percentile: 2.0971394538879395
20th percentile: 2.116377067565918
30th percentile: 2.127089500427246
40th percentile: 2.129276752471924
50th percentile: 2.1314640045166016
60th percentile: 2.1321967124938963
70th percentile: 2.1329294204711915
80th percentile: 2.220444345474243
90th percentile: 2.394741487503052
95th percentile: 2.481890058517456
99th percentile: 2.5516089153289796
mean time: 2.2075392246246337
Pipeline stage StressChecker completed in 11.91s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
r136a1-midnight-2x8b-l3_v1 status is now deployed due to DeploymentManager action
r136a1-midnight-2x8b-l3_v1 status is now inactive due to auto deactivation removed underperforming models

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