submission_id: zonemercy-acute-nemo-v1-_3266_v1
developer_uid: zonemercy
alignment_samples: 10285
alignment_score: -0.5260743708353364
best_of: 16
celo_rating: 1239.82
display_name: zonemercy-acute-nemo-v1-_3266_v1
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}
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}
is_internal_developer: True
language_model: zonemercy/Acute-Nemo-v1.1-orpo-1e6beta05
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Acute-Nemo-v1.
model_name: zonemercy-acute-nemo-v1-_3266_v1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Acute-Nemo-v1.1-orpo-1e6beta05
model_size: 13B
num_battles: 10285
num_wins: 5240
propriety_score: 0.7186379928315412
propriety_total_count: 1116.0
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-15T04:56:58+00:00
us_pacific_date: 2024-08-14
win_ratio: 0.5094798249878464
Download Preferencedata
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-acute-nemo-v1-3266-v1-mkmlizer
Waiting for job on zonemercy-acute-nemo-v1-3266-v1-mkmlizer to finish
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ _____ __ __ ║
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zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ ║
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ Version: 0.9.9 ║
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ https://mk1.ai ║
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zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ Chai Research Corp. ║
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Downloaded to shared memory in 101.908s
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcdj6os1o, device:0
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: quantized model in 39.685s
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Processed model zonemercy/Acute-Nemo-v1.1-orpo-1e6beta05 in 141.594s
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1/config.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1/special_tokens_map.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1/tokenizer_config.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1/tokenizer.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-acute-nemo-v1-3266-v1/flywheel_model.0.safetensors
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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zonemercy-acute-nemo-v1-3266-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-3266-v1-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-v1-3266-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-3266-v1-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-v1-3266-v1-mkmlizer: warnings.warn(
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.19s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.84s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.04s/it]
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.19it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.67it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.33it/s]
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Saving duration: 1.400s
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 12.778s
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: creating bucket guanaco-reward-models
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/config.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/special_tokens_map.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/tokenizer_config.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/merges.txt
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/vocab.json
zonemercy-acute-nemo-v1-3266-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zonemercy-acute-nemo-v1-3266-v1_reward/tokenizer.json
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Job zonemercy-acute-nemo-v1-3266-v1-mkmlizer completed after 187.27s with status: succeeded
Stopping job with name zonemercy-acute-nemo-v1-3266-v1-mkmlizer
Pipeline stage MKMLizer completed in 187.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-acute-nemo-v1-3266-v1
Waiting for inference service zonemercy-acute-nemo-v1-3266-v1 to be ready
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission v000000-l3-8b-poppy-moon_1166_v4: ('http://v000000-l3-8b-poppy-moon-1166-v4-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Inference service zonemercy-acute-nemo-v1-3266-v1 ready after 221.47145676612854s
Pipeline stage ISVCDeployer completed in 222.31s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6185171604156494s
Received healthy response to inference request in 1.6753101348876953s
Received healthy response to inference request in 1.6826684474945068s
Received healthy response to inference request in 1.7171351909637451s
Failed to get response for submission chaiml-llama-8b-pairwise_8189_v2:
Received healthy response to inference request in 1.6592276096343994s
5 requests
0 failed requests
5th percentile: 1.6624441146850586
10th percentile: 1.6656606197357178
20th percentile: 1.6720936298370361
30th percentile: 1.6767817974090575
40th percentile: 1.6797251224517822
50th percentile: 1.6826684474945068
60th percentile: 1.696455144882202
70th percentile: 1.7102418422698975
80th percentile: 1.8974115848541262
90th percentile: 2.2579643726348877
95th percentile: 2.4382407665252686
99th percentile: 2.582461881637573
mean time: 1.8705717086791993
Pipeline stage StressChecker completed in 10.24s
zonemercy-acute-nemo-v1-_3266_v1 status is now deployed due to DeploymentManager action
zonemercy-acute-nemo-v1-_3266_v1 status is now inactive due to auto deactivation removed underperforming models
zonemercy-acute-nemo-v1-_3266_v1 status is now torndown due to DeploymentManager action

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