developer_uid: zonemercy
submission_id: jellywibble-lora-120k-pr_2801_v7
model_name: nitral-ai-hathor-l3-8b-v-01_v1
model_group: Jellywibble/lora_120k_pr
status: torndown
timestamp: 2024-07-12T23:08:03+00:00
num_battles: 39056
num_wins: 24236
celo_rating: 1257.09
family_friendly_score: 0.0
submission_type: basic
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-hathor-l3-8b-v-01_v1
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-12
win_ratio: 0.6205448586644817
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-pr-2801-v7-mkmlizer
Waiting for job on jellywibble-lora-120k-pr-2801-v7-mkmlizer to finish
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  Version: 0.8.14                                                    ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2801-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-pr-2801-v7-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
jellywibble-lora-120k-pr-2801-v7-mkmlizer: quantized model in 31.203s
jellywibble-lora-120k-pr-2801-v7-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 82.358s
jellywibble-lora-120k-pr-2801-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-pr-2801-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7/config.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7/special_tokens_map.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7/tokenizer_config.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7/tokenizer.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2801-v7/flywheel_model.0.safetensors
jellywibble-lora-120k-pr-2801-v7-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-pr-2801-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-2801-v7-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-2801-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
jellywibble-lora-120k-pr-2801-v7-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-2801-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-2801-v7-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-2801-v7-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-2801-v7-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-2801-v7-mkmlizer: 
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jellywibble-lora-120k-pr-2801-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-pr-2801-v7-mkmlizer: Saving duration: 2.218s
jellywibble-lora-120k-pr-2801-v7-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 17.304s
jellywibble-lora-120k-pr-2801-v7-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-pr-2801-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-pr-2801-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/config.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/vocab.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/special_tokens_map.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/merges.txt
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/tokenizer_config.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/tokenizer.json
jellywibble-lora-120k-pr-2801-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-pr-2801-v7_reward/reward.tensors
Job jellywibble-lora-120k-pr-2801-v7-mkmlizer completed after 137.84s with status: succeeded
Stopping job with name jellywibble-lora-120k-pr-2801-v7-mkmlizer
Pipeline stage MKMLizer completed in 138.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.37s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-pr-2801-v7
Waiting for inference service jellywibble-lora-120k-pr-2801-v7 to be ready
Inference service jellywibble-lora-120k-pr-2801-v7 ready after 40.19345545768738s
Pipeline stage ISVCDeployer completed in 47.19s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9393134117126465s
Received healthy response to inference request in 1.5842583179473877s
Received healthy response to inference request in 1.8672943115234375s
Received healthy response to inference request in 1.520047664642334s
Received healthy response to inference request in 1.591843843460083s
5 requests
0 failed requests
5th percentile: 1.5328897953033447
10th percentile: 1.5457319259643554
20th percentile: 1.571416187286377
30th percentile: 1.5857754230499268
40th percentile: 1.5888096332550048
50th percentile: 1.591843843460083
60th percentile: 1.7020240306854248
70th percentile: 1.8122042179107665
80th percentile: 2.0816981315612795
90th percentile: 2.510505771636963
95th percentile: 2.7249095916748045
99th percentile: 2.896432647705078
mean time: 1.9005515098571777
Pipeline stage StressChecker completed in 10.23s
jellywibble-lora-120k-pr_2801_v7 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-pr_2801_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-pr_2801_v7
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-pr-2801-v7 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.65s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-2801-v7/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2801-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2801-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2801-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2801-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2801-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.42s
jellywibble-lora-120k-pr_2801_v7 status is now torndown due to DeploymentManager action