developer_uid: zonemercy
submission_id: zonemercy-acute-nemo-v1-_2373_v3
model_name: 0814v1-4
model_group: zonemercy/Acute-Nemo-v1.
status: torndown
timestamp: 2024-08-15T00:26:27+00:00
num_battles: 12093
num_wins: 6274
celo_rating: 1240.1
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Acute-Nemo-v1.1-orpo-5e6ep2
model_architecture: MistralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 12772070400.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: 0814v1-4
is_internal_developer: True
language_model: zonemercy/Acute-Nemo-v1.1-orpo-5e6ep2
model_size: 13B
ranking_group: single
us_pacific_date: 2024-08-14
win_ratio: 0.5188125361779542
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
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: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-acute-nemo-v1-2373-v3-mkmlizer
Waiting for job on zonemercy-acute-nemo-v1-2373-v3-mkmlizer to finish
Stopping job with name zonemercy-acute-nemo-v1-2373-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name zonemercy-acute-nemo-v1-2373-v3-mkmlizer
Waiting for job on zonemercy-acute-nemo-v1-2373-v3-mkmlizer to finish
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ _____ __ __ ║
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zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ Version: 0.9.9 ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ https://mk1.ai ║
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zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ The license key for the current software has been verified as ║
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zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ Chai Research Corp. ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Downloaded to shared memory in 88.024s
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpktidxp27, device:0
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: quantized model in 42.078s
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Processed model zonemercy/Acute-Nemo-v1.1-orpo-5e6ep2 in 130.103s
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3/config.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3/special_tokens_map.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3/tokenizer_config.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3/tokenizer.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-2373-v3/flywheel_model.0.safetensors
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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zonemercy-acute-nemo-v1-2373-v3-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.39s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.75s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 4.00s/it]
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.31it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.77it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.44it/s]
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Saving duration: 1.346s
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 12.880s
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: creating bucket guanaco-reward-models
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/config.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/special_tokens_map.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/tokenizer_config.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/merges.txt
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/vocab.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/tokenizer.json
zonemercy-acute-nemo-v1-2373-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zonemercy-acute-nemo-v1-2373-v3_reward/reward.tensors
Job zonemercy-acute-nemo-v1-2373-v3-mkmlizer completed after 188.48s with status: succeeded
Stopping job with name zonemercy-acute-nemo-v1-2373-v3-mkmlizer
Pipeline stage MKMLizer completed in 189.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-acute-nemo-v1-2373-v3
Waiting for inference service zonemercy-acute-nemo-v1-2373-v3 to be ready
Inference service zonemercy-acute-nemo-v1-2373-v3 ready after 231.5316767692566s
Pipeline stage ISVCDeployer completed in 232.52s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6009483337402344s
Received healthy response to inference request in 1.730158805847168s
Received healthy response to inference request in 1.7350058555603027s
Received healthy response to inference request in 1.728485107421875s
Received healthy response to inference request in 1.9441025257110596s
5 requests
0 failed requests
5th percentile: 1.7288198471069336
10th percentile: 1.7291545867919922
20th percentile: 1.7298240661621094
30th percentile: 1.731128215789795
40th percentile: 1.7330670356750488
50th percentile: 1.7350058555603027
60th percentile: 1.8186445236206055
70th percentile: 1.9022831916809082
80th percentile: 2.075471687316895
90th percentile: 2.3382100105285644
95th percentile: 2.469579172134399
99th percentile: 2.5746745014190675
mean time: 1.947740125656128
Pipeline stage StressChecker completed in 10.50s
zonemercy-acute-nemo-v1-_2373_v3 status is now deployed due to DeploymentManager action
zonemercy-acute-nemo-v1-_2373_v3 status is now inactive due to auto deactivation removed underperforming models
zonemercy-acute-nemo-v1-_2373_v3 status is now torndown due to DeploymentManager action