Running pipeline stage MKMLizer
Starting job with name fizzarolli-llama-3-lust-8388-v3-mkmlizer
Waiting for job on fizzarolli-llama-3-lust-8388-v3-mkmlizer to finish
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ _____ __ __ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ /___/ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ Version: 0.6.11 ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ The license key for the current software has been verified as ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ belonging to: ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ Chai Research Corp. ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ║ ║
fizzarolli-llama-3-lust-8388-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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fizzarolli-llama-3-lust-8388-v3-mkmlizer: Downloaded to shared memory in 32.279s
fizzarolli-llama-3-lust-8388-v3-mkmlizer: quantizing model to /dev/shm/model_cache
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fizzarolli-llama-3-lust-8388-v3-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
fizzarolli-llama-3-lust-8388-v3-mkmlizer: quantized model in 30.039s
fizzarolli-llama-3-lust-8388-v3-mkmlizer: Processed model Fizzarolli/llama-3-lust-8b-v0.1 in 64.457s
fizzarolli-llama-3-lust-8388-v3-mkmlizer: creating bucket guanaco-mkml-models
fizzarolli-llama-3-lust-8388-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
fizzarolli-llama-3-lust-8388-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3/special_tokens_map.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3/config.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3/tokenizer_config.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3/tokenizer.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/fizzarolli-llama-3-lust-8388-v3/mkml_model.tensors
fizzarolli-llama-3-lust-8388-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fizzarolli-llama-3-lust-8388-v3-mkmlizer: warnings.warn(
fizzarolli-llama-3-lust-8388-v3-mkmlizer:
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fizzarolli-llama-3-lust-8388-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fizzarolli-llama-3-lust-8388-v3-mkmlizer: warnings.warn(
fizzarolli-llama-3-lust-8388-v3-mkmlizer:
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fizzarolli-llama-3-lust-8388-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
fizzarolli-llama-3-lust-8388-v3-mkmlizer: Saving duration: 0.253s
fizzarolli-llama-3-lust-8388-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.854s
fizzarolli-llama-3-lust-8388-v3-mkmlizer: creating bucket guanaco-reward-models
fizzarolli-llama-3-lust-8388-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
fizzarolli-llama-3-lust-8388-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/config.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/tokenizer_config.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/special_tokens_map.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/vocab.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/merges.txt
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/tokenizer.json
fizzarolli-llama-3-lust-8388-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/fizzarolli-llama-3-lust-8388-v3_reward/reward.tensors
Job fizzarolli-llama-3-lust-8388-v3-mkmlizer completed after 95.21s with status: succeeded
Stopping job with name fizzarolli-llama-3-lust-8388-v3-mkmlizer
Pipeline stage MKMLizer completed in 98.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service fizzarolli-llama-3-lust-8388-v3
Waiting for inference service fizzarolli-llama-3-lust-8388-v3 to be ready
Inference service fizzarolli-llama-3-lust-8388-v3 ready after 30.20746636390686s
Pipeline stage ISVCDeployer completed in 37.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.514697551727295s
Received healthy response to inference request in 0.7073085308074951s
Received healthy response to inference request in 0.9504885673522949s
Received healthy response to inference request in 1.1467564105987549s
Received healthy response to inference request in 0.6520988941192627s
5 requests
0 failed requests
5th percentile: 0.6631408214569092
10th percentile: 0.6741827487945556
20th percentile: 0.6962666034698486
30th percentile: 0.7559445381164551
40th percentile: 0.853216552734375
50th percentile: 0.9504885673522949
60th percentile: 1.0289957046508789
70th percentile: 1.1075028419494628
80th percentile: 1.220344638824463
90th percentile: 1.367521095275879
95th percentile: 1.4411093235015868
99th percentile: 1.4999799060821533
mean time: 0.9942699909210205
Pipeline stage StressChecker completed in 5.76s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.08s
fizzarolli-llama-3-lust-_8388_v3 status is now deployed due to DeploymentManager action
fizzarolli-llama-3-lust-_8388_v3 status is now rejected due to its M-Eval score being less than the acceptable minimum 6.5 to serve to users. Please consider iterating on your model's ability to adhere to prompts to improve this score.