submission_id: jellywibble-vampirekingd_8206_v5
developer_uid: Jellywibble
alignment_samples: 14164
alignment_score: 0.11358516654780683
best_of: 16
celo_rating: 1233.3
display_name: vk2
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: Jellywibble/VampireKingDedupVicEP5
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingD
model_name: vk2
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingDedupVicEP5
model_size: 13B
num_battles: 14164
num_wins: 7229
propriety_score: 0.7083333333333334
propriety_total_count: 1248.0
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-14T19:28:45+00:00
us_pacific_date: 2024-08-14
win_ratio: 0.5103784241739622
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Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingd-8206-v5-mkmlizer
Waiting for job on jellywibble-vampirekingd-8206-v5-mkmlizer to finish
Stopping job with name jellywibble-vampirekingd-8206-v5-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-vampirekingd-8206-v5-mkmlizer
Waiting for job on jellywibble-vampirekingd-8206-v5-mkmlizer to finish
jellywibble-vampirekingd-8206-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ _____ __ __ ║
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jellywibble-vampirekingd-8206-v5-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ Version: 0.9.9 ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ https://mk1.ai ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ belonging to: ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ Chai Research Corp. ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ║ ║
jellywibble-vampirekingd-8206-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingd-8206-v5-mkmlizer: Downloaded to shared memory in 38.371s
jellywibble-vampirekingd-8206-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppq9wdpmn, device:0
jellywibble-vampirekingd-8206-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-vampirekingd-8206-v5-mkmlizer: quantized model in 34.763s
jellywibble-vampirekingd-8206-v5-mkmlizer: Processed model Jellywibble/VampireKingDedupVicEP5 in 73.134s
jellywibble-vampirekingd-8206-v5-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingd-8206-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingd-8206-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5/config.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5/special_tokens_map.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5/tokenizer_config.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5/tokenizer.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingd-8206-v5/flywheel_model.0.safetensors
jellywibble-vampirekingd-8206-v5-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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jellywibble-vampirekingd-8206-v5-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v5-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.
jellywibble-vampirekingd-8206-v5-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v5-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.
jellywibble-vampirekingd-8206-v5-mkmlizer: warnings.warn(
jellywibble-vampirekingd-8206-v5-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:06<00:06, 6.75s/it] Downloading shards: 100%|██████████| 2/2 [00:13<00:00, 6.66s/it] Downloading shards: 100%|██████████| 2/2 [00:13<00:00, 6.67s/it]
jellywibble-vampirekingd-8206-v5-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.49it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 4.14it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.76it/s]
jellywibble-vampirekingd-8206-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-vampirekingd-8206-v5-mkmlizer: Saving duration: 1.347s
jellywibble-vampirekingd-8206-v5-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 18.249s
jellywibble-vampirekingd-8206-v5-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingd-8206-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingd-8206-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/config.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/special_tokens_map.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/tokenizer_config.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/merges.txt
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/vocab.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/tokenizer.json
jellywibble-vampirekingd-8206-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingd-8206-v5_reward/reward.tensors
Job jellywibble-vampirekingd-8206-v5-mkmlizer completed after 125.98s with status: succeeded
Stopping job with name jellywibble-vampirekingd-8206-v5-mkmlizer
Pipeline stage MKMLizer completed in 127.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingd-8206-v5
Waiting for inference service jellywibble-vampirekingd-8206-v5 to be ready
Inference service jellywibble-vampirekingd-8206-v5 ready after 221.45550847053528s
Pipeline stage ISVCDeployer completed in 222.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.503784418106079s
Received healthy response to inference request in 1.5988316535949707s
Received healthy response to inference request in 1.6491358280181885s
Received healthy response to inference request in 1.6675803661346436s
Received healthy response to inference request in 1.6932294368743896s
5 requests
0 failed requests
5th percentile: 1.6088924884796143
10th percentile: 1.618953323364258
20th percentile: 1.6390749931335449
30th percentile: 1.6528247356414796
40th percentile: 1.6602025508880616
50th percentile: 1.6675803661346436
60th percentile: 1.677839994430542
70th percentile: 1.6880996227264404
80th percentile: 1.8553404331207277
90th percentile: 2.1795624256134034
95th percentile: 2.341673421859741
99th percentile: 2.4713622188568114
mean time: 1.8225123405456543
Pipeline stage StressChecker completed in 9.97s
jellywibble-vampirekingd_8206_v5 status is now deployed due to DeploymentManager action
jellywibble-vampirekingd_8206_v5 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingd_8206_v5 status is now torndown due to DeploymentManager action

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