submission_id: jellywibble-lora-120k-pr_7199_v7
developer_uid: Jellywibble
alignment_samples: 0
best_of: 4
celo_rating: 1228.71
display_name: jellywibble-lora-120k-pr_7199_v7
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}
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': 512, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Jellywibble/lora_120k_pr
model_name: jellywibble-lora-120k-pr_7199_v7
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only
model_size: 8B
num_battles: 214437
num_wins: 111805
propriety_score: 0.7037746170678337
propriety_total_count: 10968.0
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: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-15T18:18:11+00:00
us_pacific_date: 2024-07-15
win_ratio: 0.5213885663388315
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-pr-7199-v7-mkmlizer
Waiting for job on jellywibble-lora-120k-pr-7199-v7-mkmlizer to finish
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ Version: 0.9.5.post2 ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ https://mk1.ai ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ belonging to: ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ Chai Research Corp. ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Downloaded to shared memory in 43.562s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-pr-7199-v7-mkmlizer: quantized model in 25.701s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only in 69.264s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-pr-7199-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7/special_tokens_map.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7/config.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7/tokenizer_config.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7/tokenizer.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v7/flywheel_model.0.safetensors
jellywibble-lora-120k-pr-7199-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jellywibble-lora-120k-pr-7199-v7-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-pr-7199-v7-mkmlizer: warnings.warn(
jellywibble-lora-120k-pr-7199-v7-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-pr-7199-v7-mkmlizer: warnings.warn(
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Saving duration: 0.663s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.510s
jellywibble-lora-120k-pr-7199-v7-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-pr-7199-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-pr-7199-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/tokenizer_config.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/vocab.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/config.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/special_tokens_map.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/merges.txt
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/tokenizer.json
jellywibble-lora-120k-pr-7199-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v7_reward/reward.tensors
Job jellywibble-lora-120k-pr-7199-v7-mkmlizer completed after 92.87s with status: succeeded
Stopping job with name jellywibble-lora-120k-pr-7199-v7-mkmlizer
Pipeline stage MKMLizer completed in 94.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.37s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-pr-7199-v7
Waiting for inference service jellywibble-lora-120k-pr-7199-v7 to be ready
Inference service jellywibble-lora-120k-pr-7199-v7 ready after 40.20587110519409s
Pipeline stage ISVCDeployer completed in 47.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.075000047683716s
Received healthy response to inference request in 1.1106648445129395s
Received healthy response to inference request in 1.1005492210388184s
Received healthy response to inference request in 1.105492115020752s
Received healthy response to inference request in 1.1096675395965576s
5 requests
0 failed requests
5th percentile: 1.1015377998352052
10th percentile: 1.1025263786315918
20th percentile: 1.1045035362243651
30th percentile: 1.106327199935913
40th percentile: 1.1079973697662353
50th percentile: 1.1096675395965576
60th percentile: 1.1100664615631104
70th percentile: 1.1104653835296632
80th percentile: 1.303531885147095
90th percentile: 1.6892659664154053
95th percentile: 1.8821330070495603
99th percentile: 2.036426639556885
mean time: 1.3002747535705566
Pipeline stage StressChecker completed in 7.99s
jellywibble-lora-120k-pr_7199_v7 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-pr_7199_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-pr_7199_v7
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-pr-7199-v7 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.24s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-7199-v7/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.77s
jellywibble-lora-120k-pr_7199_v7 status is now torndown due to DeploymentManager action

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