jellywibble-lora-120k-p_2801

developer_uid: chai_backend_admin
submission_id: jellywibble-lora-120k-p_2801_v23
model_name: jellywibble-lora-120k-p_2801_v23
model_group: Jellywibble/lora_120k_pr
status: torndown
timestamp: 2024-07-23T02:32:05+00:00
num_battles: 9824
num_wins: 5137
celo_rating: 1223.25
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/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 3000
max_output_tokens: 64
display_name: jellywibble-lora-120k-p_2801_v23
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-22
win_ratio: 0.5229030944625407
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 3000, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_tokens': 256}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-p-2801-v23-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v23-mkmlizer to finish
jellywibble-lora-120k-p-2801-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  Version: 0.9.5.post3                                               ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission blend_dunet_2024-07-19: ('http://chaiml-sao10k-l3-rp-v3-3-v37-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Failed to get response for submission blend_meral_2024-07-13: ('http://neversleep-noromaid-v0-8068-v133-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Failed to get response for submission blend_meral_2024-07-13: ('http://neversleep-noromaid-v0-8068-v133-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Failed to get response for submission blend_meral_2024-07-13: ('http://mistralai-mixtral-8x7b-3473-v86-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
jellywibble-lora-120k-p-2801-v23-mkmlizer: Downloaded to shared memory in 59.463s
jellywibble-lora-120k-p-2801-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptvyrk13a, device:0
jellywibble-lora-120k-p-2801-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v23-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-p-2801-v23-mkmlizer: quantized model in 26.115s
jellywibble-lora-120k-p-2801-v23-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 85.578s
jellywibble-lora-120k-p-2801-v23-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23/config.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23/special_tokens_map.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23/tokenizer_config.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23/tokenizer.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v23/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v23-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jellywibble-lora-120k-p-2801-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-p-2801-v23-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-p-2801-v23-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v23-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-lora-120k-p-2801-v23-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v23-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v23-mkmlizer: Saving duration: 0.350s
jellywibble-lora-120k-p-2801-v23-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.468s
jellywibble-lora-120k-p-2801-v23-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v23-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v23-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/config.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/merges.txt
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/vocab.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v23-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v23_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v23-mkmlizer completed after 138.76s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v23-mkmlizer
Pipeline stage MKMLizer completed in 139.78s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v23
Waiting for inference service jellywibble-lora-120k-p-2801-v23 to be ready
Inference service jellywibble-lora-120k-p-2801-v23 ready after 51.19349265098572s
Pipeline stage ISVCDeployer completed in 52.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.016991376876831s
Received healthy response to inference request in 1.098982572555542s
Received healthy response to inference request in 1.145164966583252s
Received healthy response to inference request in 1.1449425220489502s
Received healthy response to inference request in 1.1170010566711426s
5 requests
0 failed requests
5th percentile: 1.102586269378662
10th percentile: 1.1061899662017822
20th percentile: 1.1133973598480225
30th percentile: 1.122589349746704
40th percentile: 1.1337659358978271
50th percentile: 1.1449425220489502
60th percentile: 1.145031499862671
70th percentile: 1.1451204776763917
80th percentile: 1.319530248641968
90th percentile: 1.6682608127593994
95th percentile: 1.842626094818115
99th percentile: 1.9821183204650878
mean time: 1.3046164989471436
Pipeline stage StressChecker completed in 7.17s
jellywibble-lora-120k-p_2801_v23 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v23 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v23
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v23 is running
Tearing down inference service jellywibble-lora-120k-p-2801-v23
Service jellywibble-lora-120k-p-2801-v23 has been torndown
Pipeline stage ISVCDeleter completed in 5.07s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v23/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v23/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v23/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v23/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v23/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v23_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v23_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.36s
jellywibble-lora-120k-p_2801_v23 status is now torndown due to DeploymentManager action