submission_id: cycy233-l3-bdpo-v8-c1_v2
developer_uid: shiroe40
alignment_samples: 0
best_of: 16
celo_rating: 1190.21
display_name: auto
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': 0.6, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cycy233/L3-bdpo-v8-c1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bdpo-v8-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bdpo-v8-c1
model_size: 8B
num_battles: 69158
num_wins: 34495
propriety_score: 0.7605515385908862
propriety_total_count: 5947.0
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: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-15T08:00:20+00:00
us_pacific_date: 2024-07-15
win_ratio: 0.4987853899765754
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v8-c1-v2-mkmlizer
Waiting for job on cycy233-l3-bdpo-v8-c1-v2-mkmlizer to finish
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  Version: 0.9.5.post2                                               ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Downloaded to shared memory in 23.528s
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.17.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
                                                  

Loading 0:   0%|          | 1/291 [00:00<00:00, 910.42it/s]
                                                           

Loading 0:   1%|          | 2/291 [00:00<00:02, 107.48it/s]
                                                           

Loading 0:   1%|▏         | 4/291 [00:00<00:03, 78.04it/s]
                                                          

Loading 0:   2%|▏         | 5/291 [00:00<00:02, 96.84it/s]
                                                          

Loading 0:   2%|▏         | 7/291 [00:00<00:02, 121.83it/s]
                                                           

Loading 0:   3%|▎         | 9/291 [00:00<00:01, 141.38it/s]
                                                           

Loading 0:   3%|▎         | 10/291 [00:00<00:01, 156.45it/s]
                                                            

Loading 0:   4%|▍         | 11/291 [00:00<00:02, 138.27it/s]
                                                            

Loading 0:   4%|▍         | 13/291 [00:00<00:02, 115.08it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   5%|▍         | 14/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   5%|▌         | 16/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   6%|▌         | 18/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   7%|▋         | 19/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   7%|▋         | 20/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   8%|▊         | 22/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   8%|▊         | 23/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   9%|▊         | 25/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:   9%|▉         | 27/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:  10%|▉         | 28/291 [00:00<00:02, 123.86it/s]
                                                            

Loading 0:  10%|▉         | 29/291 [00:00<00:02, 123.86it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  11%|█         | 31/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  11%|█         | 32/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  12%|█▏        | 34/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  12%|█▏        | 36/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  13%|█▎        | 37/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  13%|█▎        | 38/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  14%|█▎        | 40/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  14%|█▍        | 41/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  15%|█▍        | 43/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  15%|█▌        | 45/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  16%|█▌        | 46/291 [00:00<00:01, 141.47it/s]
                                                            

Loading 0:  16%|█▌        | 47/291 [00:00<00:01, 141.47it/s]
Loading 0:  16%|█▋        | 48/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  17%|█▋        | 49/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  17%|█▋        | 50/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  18%|█▊        | 52/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  19%|█▊        | 54/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  19%|█▉        | 55/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  19%|█▉        | 56/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  20%|█▉        | 58/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  20%|██        | 59/291 [00:00<00:01, 149.13it/s]
                                                            

Loading 0:  21%|██        | 61/291 [00:00<00:01, 149.13it/s]
Loading 0:  22%|██▏       | 63/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  22%|██▏       | 63/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  22%|██▏       | 64/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  22%|██▏       | 65/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  23%|██▎       | 67/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  23%|██▎       | 68/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  24%|██▍       | 70/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  25%|██▍       | 72/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  25%|██▌       | 73/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  25%|██▌       | 74/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  26%|██▌       | 76/291 [00:00<00:01, 143.35it/s]
                                                            

Loading 0:  26%|██▋       | 77/291 [00:00<00:01, 143.35it/s]
Loading 0:  27%|██▋       | 78/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  27%|██▋       | 79/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  28%|██▊       | 81/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  28%|██▊       | 82/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  29%|██▊       | 83/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  29%|██▉       | 85/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  30%|██▉       | 86/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  30%|███       | 88/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  31%|███       | 90/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  31%|███▏      | 91/291 [00:00<00:01, 140.52it/s]
                                                            

Loading 0:  32%|███▏      | 92/291 [00:00<00:01, 140.52it/s]
Loading 0:  32%|███▏      | 93/291 [00:00<00:02, 68.34it/s] 
                                                           

Loading 0:  32%|███▏      | 94/291 [00:01<00:02, 68.34it/s]
                                                           

Loading 0:  33%|███▎      | 95/291 [00:01<00:02, 68.34it/s]
                                                           

Loading 0:  33%|███▎      | 97/291 [00:01<00:02, 68.34it/s]
                                                           

Loading 0:  34%|███▍      | 99/291 [00:01<00:02, 68.34it/s]
                                                           

Loading 0:  34%|███▍      | 100/291 [00:01<00:02, 68.34it/s]
                                                            

Loading 0:  35%|███▍      | 101/291 [00:01<00:02, 68.34it/s]
                                                            

Loading 0:  35%|███▌      | 103/291 [00:01<00:02, 68.34it/s]
                                                            

Loading 0:  36%|███▌      | 104/291 [00:01<00:02, 68.34it/s]
                                                            

Loading 0:  36%|███▋      | 106/291 [00:01<00:02, 68.34it/s]
Loading 0:  37%|███▋      | 107/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  37%|███▋      | 108/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  37%|███▋      | 109/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  38%|███▊      | 110/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  38%|███▊      | 112/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  39%|███▉      | 113/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  40%|███▉      | 115/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  40%|████      | 117/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  41%|████      | 118/291 [00:01<00:02, 80.63it/s]
                                                            

Loading 0:  41%|████      | 119/291 [00:01<00:02, 80.63it/s]
Loading 0:  42%|████▏     | 121/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  42%|████▏     | 121/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  42%|████▏     | 122/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  43%|████▎     | 124/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  43%|████▎     | 126/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  44%|████▎     | 127/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  44%|████▍     | 128/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  45%|████▍     | 130/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  45%|████▌     | 131/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  46%|████▌     | 133/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  46%|████▋     | 135/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  47%|████▋     | 136/291 [00:01<00:01, 92.43it/s]
                                                            

Loading 0:  47%|████▋     | 137/291 [00:01<00:01, 92.43it/s]
Loading 0:  47%|████▋     | 138/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  48%|████▊     | 139/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  48%|████▊     | 140/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  49%|████▉     | 142/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  49%|████▉     | 144/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  50%|████▉     | 145/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  50%|█████     | 146/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  51%|█████     | 148/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  51%|█████     | 149/291 [00:01<00:01, 107.67it/s]
                                                             

Loading 0:  52%|█████▏    | 151/291 [00:01<00:01, 107.67it/s]
Loading 0:  53%|█████▎    | 153/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  53%|█████▎    | 153/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  53%|█████▎    | 154/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  53%|█████▎    | 155/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  54%|█████▍    | 157/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  54%|█████▍    | 158/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  55%|█████▍    | 160/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  56%|█████▌    | 162/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  56%|█████▌    | 163/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  56%|█████▋    | 164/291 [00:01<00:01, 116.54it/s]
                                                             

Loading 0:  57%|█████▋    | 166/291 [00:01<00:01, 116.54it/s]
Loading 0:  57%|█████▋    | 167/291 [00:01<00:01, 118.99it/s]
                                                             

Loading 0:  57%|█████▋    | 167/291 [00:01<00:01, 118.99it/s]
                                                             

Loading 0:  58%|█████▊    | 169/291 [00:01<00:01, 118.99it/s]
                                                             

Loading 0:  59%|█████▉    | 171/291 [00:01<00:01, 118.99it/s]
                                                             

Loading 0:  60%|█████▉    | 174/291 [00:01<00:00, 118.99it/s]
                                                             

Loading 0:  60%|██████    | 176/291 [00:01<00:00, 118.99it/s]
                                                             

Loading 0:  61%|██████    | 177/291 [00:01<00:00, 118.99it/s]
                                                             

Loading 0:  61%|██████    | 178/291 [00:01<00:00, 118.99it/s]
                                                             

Loading 0:  62%|██████▏   | 180/291 [00:01<00:00, 118.99it/s]
                                                             

Loading 0:  62%|██████▏  model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: lm_head.weight torch.Size([139542528])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: model.norm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c1-v2/flywheel_model.0.safetensors
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v8-c1-v2-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.
cycy233-l3-bdpo-v8-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v8-c1-v2-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.
cycy233-l3-bdpo-v8-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v8-c1-v2-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.
cycy233-l3-bdpo-v8-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Saving duration: 1.058s
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 9.416s
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/config.json
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/merges.txt
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/tokenizer_config.json
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/vocab.json
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/special_tokens_map.json
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/tokenizer.json
cycy233-l3-bdpo-v8-c1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c1-v2_reward/reward.tensors
Job cycy233-l3-bdpo-v8-c1-v2-mkmlizer completed after 94.6s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v8-c1-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.52s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v8-c1-v2
Waiting for inference service cycy233-l3-bdpo-v8-c1-v2 to be ready
Inference service cycy233-l3-bdpo-v8-c1-v2 ready after 40.2331326007843s
Pipeline stage ISVCDeployer completed in 47.27s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.220165252685547s
Received healthy response to inference request in 1.4970457553863525s
Received healthy response to inference request in 1.4635088443756104s
Received healthy response to inference request in 1.4288904666900635s
Received healthy response to inference request in 1.4948291778564453s
5 requests
0 failed requests
5th percentile: 1.4358141422271729
10th percentile: 1.4427378177642822
20th percentile: 1.456585168838501
30th percentile: 1.4697729110717774
40th percentile: 1.4823010444641114
50th percentile: 1.4948291778564453
60th percentile: 1.4957158088684082
70th percentile: 1.496602439880371
80th percentile: 1.6416696548461915
90th percentile: 1.9309174537658693
95th percentile: 2.0755413532257077
99th percentile: 2.191240472793579
mean time: 1.6208878993988036
Pipeline stage StressChecker completed in 9.31s
cycy233-l3-bdpo-v8-c1_v2 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v8-c1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v8-c1_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v8-c1-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.33s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c1-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.13s
cycy233-l3-bdpo-v8-c1_v2 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics