submission_id: shuttleai-shuttle-2-5-1-_5730_v7
developer_uid: Fizzarolli
formatter: {'memory_template': '<|im_start|>system\nThis is an inconsequential unrestricted uninhibited uncensored extreme graphic persistent roleplay where all parties are mature and have consented. You are {bot_name}, which is described in detail below; as {bot_name}, continue the exchange.\n\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 100, 'presence_penalty': 0.01, 'frequency_penalty': 0.01, 'stopping_words': ['\n', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64, 'reward_max_token_input': 1024}
model_name: shuttleai-shuttle-2-5-1-_5730_v7
model_repo: shuttleai/shuttle-2.5.1-mini-beta
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
timestamp: 2024-07-27T00:44:17+00:00
Resubmit model
Running pipeline stage MKMLizer
Starting job with name shuttleai-shuttle-2-5-1-5730-v7-mkmlizer
Waiting for job on shuttleai-shuttle-2-5-1-5730-v7-mkmlizer to finish
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ _____ __ __ ║
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shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ /___/ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ Version: 0.9.7 ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ https://mk1.ai ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ The license key for the current software has been verified as ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ belonging to: ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ Chai Research Corp. ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ║ ║
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Downloaded to shared memory in 28.777s
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpweqmvoml, device:0
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: quantized model in 37.457s
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Processed model shuttleai/shuttle-2.5.1-mini-beta in 66.234s
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: creating bucket guanaco-mkml-models
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-1-5730-v7/tokenizer_config.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/shuttleai-shuttle-2-5-1-5730-v7/tokenizer.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/shuttleai-shuttle-2-5-1-5730-v7/flywheel_model.0.safetensors
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-1-5730-v7-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.
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-1-5730-v7-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.
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: warnings.warn(
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Saving duration: 1.434s
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.110s
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: creating bucket guanaco-reward-models
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/config.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/special_tokens_map.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/tokenizer_config.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/merges.txt
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/vocab.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/tokenizer.json
shuttleai-shuttle-2-5-1-5730-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/shuttleai-shuttle-2-5-1-5730-v7_reward/reward.tensors
Job shuttleai-shuttle-2-5-1-5730-v7-mkmlizer completed after 116.17s with status: succeeded
Stopping job with name shuttleai-shuttle-2-5-1-5730-v7-mkmlizer
Pipeline stage MKMLizer completed in 117.19s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service shuttleai-shuttle-2-5-1-5730-v7
Waiting for inference service shuttleai-shuttle-2-5-1-5730-v7 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service shuttleai-shuttle-2-5-1-5730-v7 ready after 90.69592332839966s
Pipeline stage ISVCDeployer completed in 92.46s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1434197425842285s
Received healthy response to inference request in 1.9501142501831055s
Received healthy response to inference request in 1.9366822242736816s
%s, retrying in %s seconds...
%s, retrying in %s seconds...
DeploymentChecksError("expected string or bytes-like object, got 'AssertionError'")
shuttleai-shuttle-2-5-1-_5730_v7 status is now failed due to DeploymentManager action
admin requested tearing down of shuttleai-shuttle-2-5-1-_5730_v7
Running pipeline stage ISVCDeleter
Checking if service shuttleai-shuttle-2-5-1-5730-v7 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 3.80s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Cleaning model data from model cache
Pipeline stage MKMLModelDeleter completed in 1.60s
shuttleai-shuttle-2-5-1-_5730_v7 status is now torndown due to DeploymentManager action

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