submission_id: jellywibble-lora-120k-p_2801_v10
developer_uid: Jellywibble
alignment_samples: 0
best_of: 1
celo_rating: 1186.71
display_name: nitral-ai-hathor-l3-8b-v-01_v1
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_ep3_stacked_elo_alignment
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Jellywibble/lora_120k_pr
model_name: nitral-ai-hathor-l3-8b-v-01_v1
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_size: 8B
num_battles: 91228
num_wins: 43990
propriety_score: 0.7367414584395716
propriety_total_count: 7844.0
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/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-14T03:51:15+00:00
us_pacific_date: 2024-07-13
win_ratio: 0.48219844784495985
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-p-2801-v10-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v10-mkmlizer to finish
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jellywibble-lora-120k-p-2801-v10-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  Version: 0.9.5.post2                                               ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-p-2801-v10-mkmlizer: Downloaded to shared memory in 49.624s
jellywibble-lora-120k-p-2801-v10-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
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           model.layers.23.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v10-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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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-v10-mkmlizer: quantized model in 34.560s
jellywibble-lora-120k-p-2801-v10-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 84.184s
jellywibble-lora-120k-p-2801-v10-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10/config.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10/tokenizer_config.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10/special_tokens_map.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10/tokenizer.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v10/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v10-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-p-2801-v10-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-v10-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v10-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-v10-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v10-mkmlizer: 
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jellywibble-lora-120k-p-2801-v10-mkmlizer: 
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jellywibble-lora-120k-p-2801-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v10-mkmlizer: Saving duration: 2.473s
jellywibble-lora-120k-p-2801-v10-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.038s
jellywibble-lora-120k-p-2801-v10-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/config.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/merges.txt
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/vocab.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v10_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v10-mkmlizer completed after 245.07s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v10-mkmlizer
Pipeline stage MKMLizer completed in 246.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v10
Waiting for inference service jellywibble-lora-120k-p-2801-v10 to be ready
Inference service jellywibble-lora-120k-p-2801-v10 ready after 50.22196912765503s
Pipeline stage ISVCDeployer completed in 57.31s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9027516841888428s
Received healthy response to inference request in 1.056161880493164s
Received healthy response to inference request in 1.0576319694519043s
Received healthy response to inference request in 1.0575776100158691s
Received healthy response to inference request in 1.0411932468414307s
5 requests
0 failed requests
5th percentile: 1.0441869735717773
10th percentile: 1.047180700302124
20th percentile: 1.0531681537628175
30th percentile: 1.056445026397705
40th percentile: 1.057011318206787
50th percentile: 1.0575776100158691
60th percentile: 1.0575993537902832
70th percentile: 1.0576210975646974
80th percentile: 1.2266559123992922
90th percentile: 1.5647037982940675
95th percentile: 1.733727741241455
99th percentile: 1.868946895599365
mean time: 1.2230632781982422
Pipeline stage StressChecker completed in 7.60s
jellywibble-lora-120k-p_2801_v10 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v10 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v10
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v10 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.42s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v10/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v10/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v10/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v10/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v10/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v10_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v10_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.65s
jellywibble-lora-120k-p_2801_v10 status is now torndown due to DeploymentManager action

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