submission_id: jellywibble-lora-120k-pr_2827_v9
developer_uid: robert_irvine
best_of: 1
celo_rating: 1183.39
display_name: jellywibble-lora-120k-pr_2827_v9
family_friendly_score: 0.0
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}
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': 1, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Jellywibble/lora_120k_pr
model_name: jellywibble-lora-120k-pr_2827_v9
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep2
model_size: 8B
num_battles: 35400
num_wins: 17732
ranking_group: single
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/CHAI_alignment_reward_model
status: torndown
submission_type: basic
timestamp: 2024-07-06T06:29:33+00:00
us_pacific_date: 2024-07-05
win_ratio: 0.5009039548022599
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-pr-2827-v9-mkmlizer
Waiting for job on jellywibble-lora-120k-pr-2827-v9-mkmlizer to finish
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  Version: 0.8.14                                                    ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-2827-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-pr-2827-v9-mkmlizer: Downloaded to shared memory in 39.407s
jellywibble-lora-120k-pr-2827-v9-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-pr-2827-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-pr-2827-v9-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-2827-v9-mkmlizer: quantized model in 26.971s
jellywibble-lora-120k-pr-2827-v9-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep2 in 66.379s
jellywibble-lora-120k-pr-2827-v9-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-pr-2827-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-pr-2827-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9
jellywibble-lora-120k-pr-2827-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9/config.json
jellywibble-lora-120k-pr-2827-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9/special_tokens_map.json
jellywibble-lora-120k-pr-2827-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9/tokenizer_config.json
jellywibble-lora-120k-pr-2827-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9/tokenizer.json
jellywibble-lora-120k-pr-2827-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-pr-2827-v9/flywheel_model.0.safetensors
Job jellywibble-lora-120k-pr-2827-v9-mkmlizer completed after 107.24s with status: succeeded
Stopping job with name jellywibble-lora-120k-pr-2827-v9-mkmlizer
Pipeline stage MKMLizer completed in 108.23s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-pr-2827-v9
Waiting for inference service jellywibble-lora-120k-pr-2827-v9 to be ready
Inference service jellywibble-lora-120k-pr-2827-v9 ready after 40.18327879905701s
Pipeline stage ISVCDeployer completed in 46.97s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.093322277069092s
Received healthy response to inference request in 1.063131332397461s
Received healthy response to inference request in 1.0215520858764648s
Received healthy response to inference request in 1.0626542568206787s
Received healthy response to inference request in 1.0590786933898926s
5 requests
0 failed requests
5th percentile: 1.0290574073791503
10th percentile: 1.036562728881836
20th percentile: 1.0515733718872071
30th percentile: 1.05979380607605
40th percentile: 1.0612240314483643
50th percentile: 1.0626542568206787
60th percentile: 1.0628450870513917
70th percentile: 1.0630359172821044
80th percentile: 1.2691695213317873
90th percentile: 1.6812458992004395
95th percentile: 1.8872840881347654
99th percentile: 2.0521146392822267
mean time: 1.2599477291107177
Pipeline stage StressChecker completed in 6.98s
jellywibble-lora-120k-pr_2827_v9 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-pr_2827_v9 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-pr_2827_v9
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-pr-2827-v9 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.59s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-2827-v9/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2827-v9/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2827-v9/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2827-v9/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-2827-v9/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-2827-v9_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.19s
jellywibble-lora-120k-pr_2827_v9 status is now torndown due to DeploymentManager action