submission_id: cycy233-l3-bdpo-v7-c1_v2
developer_uid: shiroe40
best_of: 16
celo_rating: 1172.07
display_name: auto
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': 0.6, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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-v7-c1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bdpo-v7-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bdpo-v7-c1
model_size: 8B
num_battles: 80044
num_wins: 36898
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: 2024-07-14T06:18:53+00:00
us_pacific_date: 2024-07-13
win_ratio: 0.4609714656938684
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v7-c1-v2-mkmlizer
Waiting for job on cycy233-l3-bdpo-v7-c1-v2-mkmlizer to finish
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Downloaded to shared memory in 29.164s
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.17.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 0%| | 1/291 [00:00<00:00, 683.78it/s] Loading 0: 1%| | 2/291 [00:00<00:03, 78.27it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:04, 59.30it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:03, 73.60it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:03, 93.18it/s] Loading 0: 3%|▎ | 9/291 [00:00<00:02, 108.68it/s] Loading 0: 3%|▎ | 10/291 [00:00<00:02, 120.26it/s] Loading 0: 4%|▍ | 11/291 [00:00<00:02, 108.66it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 118.37it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 118.37it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 118.37it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:02, 118.37it/s] Loading 0: 6%|▌ | 18/291 [00:00<00:02, 118.37it/s] Loading 0: 7%|▋ | 19/291 [00:00<00:02, 118.37it/s] Loading 0: 7%|▋ | 20/291 [00:00<00:02, 118.37it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:02, 118.37it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 118.37it/s] Loading 0: 8%|▊ | 24/291 [00:00<00:02, 112.84it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:02, 112.84it/s] Loading 0: 9%|▉ | 27/291 [00:00<00:02, 112.84it/s] Loading 0: 10%|▉ | 28/291 [00:00<00:02, 112.84it/s] Loading 0: 10%|▉ | 29/291 [00:00<00:02, 112.84it/s] Loading 0: 11%|█ | 31/291 [00:00<00:02, 112.84it/s] Loading 0: 11%|█ | 32/291 [00:00<00:02, 112.84it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:02, 112.84it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 115.36it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 115.36it/s] Loading 0: 13%|█▎ | 37/291 [00:00<00:02, 115.36it/s] Loading 0: 13%|█▎ | 38/291 [00:00<00:02, 115.36it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 115.36it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:02, 115.36it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:02, 115.36it/s] Loading 0: 15%|█▌ | 45/291 [00:00<00:02, 115.36it/s] Loading 0: 16%|█▌ | 46/291 [00:00<00:02, 115.36it/s] Loading 0: 16%|█▌ | 47/291 [00:00<00:02, 115.36it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 106.90it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 106.90it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:02, 106.90it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:02, 106.90it/s] Loading 0: 19%|█▊ | 54/291 [00:00<00:02, 106.90it/s] Loading 0: 19%|█▉ | 55/291 [00:00<00:02, 106.90it/s] Loading 0: 19%|█▉ | 56/291 [00:00<00:02, 106.90it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 106.90it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 94.82it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 94.82it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 94.82it/s] Loading 0: 22%|██▏ | 63/291 [00:00<00:02, 94.82it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:02, 94.82it/s] Loading 0: 22%|██▏ | 65/291 [00:00<00:02, 94.82it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 94.82it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:02, 94.82it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 94.82it/s] Loading 0: 24%|██▍ | 71/291 [00:00<00:02, 100.26it/s] Loading 0: 25%|██▍ | 72/291 [00:00<00:02, 100.26it/s] Loading 0: 25%|██▌ | 73/291 [00:00<00:02, 100.26it/s] Loading 0: 25%|██▌ | 74/291 [00:00<00:02, 100.26it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 100.26it/s] Loading 0: 26%|██▋ | 77/291 [00:00<00:02, 100.26it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:02, 100.26it/s] Loading 0: 28%|██▊ | 81/291 [00:00<00:02, 100.26it/s] Loading 0: 28%|██▊ | 82/291 [00:00<00:02, 102.39it/s] Loading 0: 28%|██▊ | 82/291 [00:01<00:02, 102.39it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 102.39it/s] Loading 0: 29%|██▉ | 85/291 [00:01<00:02, 102.39it/s] Loading 0: 30%|██▉ | 86/291 [00:01<00:02, 102.39it/s] Loading 0: 30%|███ | 88/291 [00:01<00:01, 102.39it/s] Loading 0: 31%|███ | 90/291 [00:01<00:01, 102.39it/s] Loading 0: 31%|███▏ | 91/291 [00:01<00:01, 102.39it/s] Loading 0: 32%|███▏ | 92/291 [00:01<00:01, 102.39it/s] Loading 0: 32%|███▏ | 93/291 [00:01<00:04, 45.23it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 45.23it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:04, 45.23it/s] Loading 0: 33%|███▎ | 97/291 [00:01<00:04, 45.23it/s] Loading 0: 34%|███▍ | 99/291 [00:01<00:04, 45.23it/s] Loading 0: 34%|███▍ | 100/291 [00:01<00:04, 45.23it/s] Loading 0: 35%|███▍ | 101/291 [00:01<00:04, 45.23it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:03, 52.07it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:03, 52.07it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:03, 52.07it/s] Loading 0: 36%|███▋ | 106/291 [00:01<00:03, 52.07it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:03, 52.07it/s] Loading 0: 37%|███▋ | 109/291 [00:01<00:03, 52.07it/s] Loading 0: 38%|███▊ | 110/291 [00:01<00:03, 52.07it/s] Loading 0: 38%|███▊ | 112/291 [00:01<00:03, 52.07it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:03, 58.00it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:03, 58.00it/s] Loading 0: 40%|███▉ | 115/291 [00:01<00:03, 58.00it/s] Loading 0: 40%|████ | 117/291 [00:01<00:03, 58.00it/s] Loading 0: 41%|████ | 118/291 [00:01<00:02, 58.00it/s] Loading 0: 41%|████ | 119/291 [00:01<00:02, 58.00it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 58.00it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:02, 64.04it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:02, 64.04it/s] Loading 0: 43%|████▎ | 124/291 [00:01<00:02, 64.04it/s] Loading 0: 43%|████▎ | 126/291 [00:01<00:02, 64.04it/s] Loading 0: 44%|████▎ | 127/291 [00:01<00:02, 64.04it/s] Loading 0: 44%|████▍ | 128/291 [00:01<00:02, 64.04it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:02, 64.04it/s] Loading 0: 45%|████▌ | 131/291 [00:01<00:02, 69.44it/s] Loading 0: 45%|████▌ | 131/291 [00:01<00:02, 69.44it/s] Loading 0: 46%|████▌ | 133/291 [00:01<00:02, 69.44it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:02, 69.44it/s] Loading 0: 47%|████▋ | 136/291 [00:01<00:02, 69.44it/s] Loading 0: 47%|████▋ | 137/291 [00:01<00:02, 69.44it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:02, 69.44it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:02, 69.44it/s] Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 78.97it/s] Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 78.97it/s] Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 78.97it/s] Loading 0: 50%|████▉ | 145/291 [00:01<00:01, 78.97it/s] Loading 0: 50%|█████ | 146/291 [00:01<00:01, 78.97it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 78.97it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 78.97it/s] Loading 0: 52%|█████▏ | 151/291 [00:01<00:01, 78.97it/s] Loading 0: 52%|█████▏ | 152/291 [00:01<00:01, 83.56it/s] Loading 0: 53%|█████▎ | 153/291 [00:01<00:01, 83.56it/s] Loading 0: 53%|█████▎ | 154/291 [00:01<00:01, 83.56it/s] Loading 0: 53%|█████▎ | 155/291 [00:02<00:01, 83.56it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 83.56it/s] Loading 0: 54%|█████▍ | 158/291 [00:02<00:01, 83.56it/s] Loading 0: 55%|█████▍ | 160/291 [00:02<00:01, 83.56it/s] Loading 0: 56%|█████▌ | 162/291 [00:02<00:01, 83.56it/s] Loading 0: 56%|█████▌ | 163/291 [00:02<00:01, 90.45it/s] Loading 0: 56%|█████▌ | 163/291 [00:02<00:01, 90.45it/s] Loading 0: 56%|█████▋ | 164/291 [00:02<00:01, 90.45it/s] Loading 0: 57%|█████▋ | 166/291 [00:02<00:01, 90.45it/s] Loading 0: 57%|█████▋ | 167/291 [00:02<00:01, 90.45it/s] Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 90.45it/s] Loading 0: 59%|█████▉ | 171/291 [00:02<00:01, 90.45it/s] Loading 0: 59%|█████▉ | 173/291 [00:02<00:01, 88.74it/s] Loading 0: 60%|█████▉ | 174/291 [00:02<00:01, 88.74it/s] Loading 0: 60%|██████ | 176/291 [00:02<00:01, 88.74it/s] Loading 0: 61%|██████ | 177/291 [00:02<00:01, 88.74it/s] Loading 0: 61%|██████ | 178/29model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: 1 [00:02<00:01, 88.74it/s] Loading 0: 62%|██████▏ | 180/291 [00:02<00:01, 88.74it/s] Loading 0: 62%|██████▏ | 181/291 [00:02<00:01, 88.74it/s] Loading 0: 63%|██████▎ | 183/291 [00:02<00:01, 88.74it/s] Loading 0: 63%|██████▎ | 184/291 [00:02<00:01, 92.95it/s] Loading 0: 64%|██████▎ | 185/291 [00:02<00:01, 92.95it/s] Loading 0: 64%|██████▍ | 186/291 [00:02<00:01, 92.95it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 92.95it/s] Loading 0: 65%|██████▍ | 188/291 [00:02<00:01, 92.95it/s] Loading 0: 65%|██████▍ | 189/291 [00:02<00:01, 92.95it/s] Loading 0: 65%|██████▌ | 190/291 [00:02<00:01, 92.95it/s] Loading 0: 66%|██████▌ | 191/291 [00:02<00:01, 92.95it/s] Loading 0: 66%|██████▋ | 193/291 [00:02<00:01, 92.95it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:02, 40.74it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:02, 40.74it/s] Loading 0: 67%|██████▋ | 196/291 [00:02<00:02, 40.74it/s] Loading 0: 68%|██████▊ | 198/291 [00:02<00:02, 40.74it/s] Loading 0: 68%|██████▊ | 199/291 [00:02<00:02, 40.74it/s] Loading 0: 69%|██████▊ | 200/291 [00:02<00:02, 40.74it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:02, 40.74it/s] Loading 0: 70%|██████▉ | 203/291 [00:02<00:02, 40.74it/s] Loading 0: 70%|███████ | 205/291 [00:02<00:02, 40.74it/s] Loading 0: 71%|███████ | 207/291 [00:02<00:01, 53.14it/s] Loading 0: 71%|███████ | 207/291 [00:03<00:01, 53.14it/s] Loading 0: 71%|███████▏ | 208/291 [00:03<00:01, 53.14it/s] Loading 0: 72%|███████▏ | 209/291 [00:03<00:01, 53.14it/s] Loading 0: 73%|███████▎ | 211/291 [00:03<00:01, 53.14it/s] Loading 0: 73%|███████▎ | 212/291 [00:03<00:01, 53.14it/s] Loading 0: 74%|███████▎ | 214/291 [00:03<00:01, 53.14it/s] Loading 0: 74%|███████▍ | 216/291 [00:03<00:01, 53.14it/s] Loading 0: 75%|███████▍ | 217/291 [00:03<00:01, 53.14it/s] Loading 0: 75%|███████▍ | 218/291 [00:03<00:01, 53.14it/s] Loading 0: 75%|███████▌ | 219/291 [00:03<00:01, 62.27it/s] Loading 0: 76%|███████▌ | 220/291 [00:03<00:01, 62.27it/s] Loading 0: 76%|███████▌ | 221/291 [00:03<00:01, 62.27it/s] Loading 0: 77%|███████▋ | 223/291 [00:03<00:01, 62.27it/s] Loading 0: 77%|███████▋ | 225/291 [00:03<00:01, 62.27it/s] Loading 0: 78%|███████▊ | 226/291 [00:03<00:01, 62.27it/s] Loading 0: 78%|███████▊ | 227/291 [00:03<00:01, 62.27it/s] Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 66.68it/s] Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 66.68it/s] Loading 0: 79%|███████▉ | 230/291 [00:03<00:00, 66.68it/s] Loading 0: 80%|███████▉ | 232/291 [00:03<00:00, 66.68it/s] Loading 0: 80%|████████ | 234/291 [00:03<00:00, 66.68it/s] Loading 0: 81%|████████ | 235/291 [00:03<00:00, 66.68it/s] Loading 0: 81%|████████ | 236/291 [00:03<00:00, 66.68it/s] Loading 0: 82%|████████▏ | 238/291 [00:03<00:00, 66.68it/s] Loading 0: 82%|████████▏ | 239/291 [00:03<00:00, 69.79it/s] Loading 0: 82%|████████▏ | 239/291 [00:03<00:00, 69.79it/s] Loading 0: 83%|████████▎ | 241/291 [00:03<00:00, 69.79it/s] Loading 0: 84%|████████▎ | 243/291 [00:03<00:00, 69.79it/s] Loading 0: 84%|████████▍ | 244/291 [00:03<00:00, 69.79it/s] Loading 0: 84%|████████▍ | 245/291 [00:03<00:00, 69.79it/s] Loading 0: 85%|████████▍ | 247/291 [00:03<00:00, 69.79it/s] Loading 0: 85%|████████▌ | 248/291 [00:03<00:00, 69.79it/s] Loading 0: 86%|████████▌ | 250/291 [00:03<00:00, 69.79it/s] Loading 0: 86%|████████▋ | 251/291 [00:03<00:00, 79.76it/s] Loading 0: 87%|████████▋ | 252/291 [00:03<00:00, 79.76it/s] Loading 0: 87%|████████▋ | 253/291 [00:03<00:00, 79.76it/s] Loading 0: 87%|████████▋ | 254/291 [00:03<00:00, 79.76it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 79.76it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 79.76it/s] Loading 0: 89%|████████▉ | 259/291 [00:03<00:00, 79.76it/s] Loading 0: 90%|████████▉ | 261/291 [00:03<00:00, 84.19it/s] Loading 0: 90%|████████▉ | 261/291 [00:03<00:00, 84.19it/s] Loading 0: 90%|█████████ | 262/291 [00:03<00:00, 84.19it/s] Loading 0: 90%|█████████ | 263/291 [00:03<00:00, 84.19it/s] Loading 0: 91%|█████████ | 265/291 [00:03<00:00, 84.19it/s] Loading 0: 91%|█████████▏| 266/291 [00:03<00:00, 84.19it/s] Loading 0: 92%|█████████▏| 268/291 [00:03<00:00, 84.19it/s] Loading 0: 93%|█████████▎| 270/291 [00:03<00:00, 84.19it/s] Loading 0: 93%|█████████▎| 271/291 [00:03<00:00, 84.19it/s] Loading 0: 93%|█████████▎| 272/291 [00:03<00:00, 84.19it/s] Loading 0: 94%|█████████▍| 273/291 [00:03<00:00, 87.81it/s] Loading 0: 94%|█████████▍| 274/291 [00:03<00:00, 87.81it/s] Loading 0: 95%|█████████▍| 275/291 [00:03<00:00, 87.81it/s] Loading 0: 95%|█████████▌| 277/291 [00:03<00:00, 87.81it/s] Loading 0: 96%|█████████▌| 279/291 [00:03<00:00, 87.81it/s] Loading 0: 97%|█████████▋| 281/291 [00:03<00:00, 87.81it/s] Loading 0: 97%|█████████▋| 283/291 [00:03<00:00, 84.88it/s] Loading 0: 97%|█████████▋| 283/291 [00:03<00:00, 84.88it/s] Loading 0: 98%|█████████▊| 285/291 [00:03<00:00, 84.88it/s] Loading 0: 98%|█████████▊| 286/291 [00:11<00:00, 84.88it/s] Loading 0: 99%|█████████▊| 287/291 [00:11<00:00, 84.88it/s] Loading 0: 99%|█████████▉| 288/291 [00:11<00:00, 84.88it/s] Loading 0: 99%|█████████▉| 289/291 [00:11<00:00, 84.88it/s] Loading 0: 100%|█████████▉| 290/291 [00:11<00:00, 84.88it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: quantized model in 34.269s
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Processed model cycy233/L3-bdpo-v7-c1 in 63.434s
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2/special_tokens_map.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2/config.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2/tokenizer_config.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2/tokenizer.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v2/flywheel_model.0.safetensors
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-bdpo-v7-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-v7-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-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-v7-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-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-v7-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Saving duration: 0.603s
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.784s
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/special_tokens_map.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/tokenizer_config.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/merges.txt
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/config.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/vocab.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/tokenizer.json
cycy233-l3-bdpo-v7-c1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v2_reward/reward.tensors
Job cycy233-l3-bdpo-v7-c1-v2-mkmlizer completed after 90.96s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v7-c1-v2-mkmlizer
Pipeline stage MKMLizer completed in 91.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v7-c1-v2
Waiting for inference service cycy233-l3-bdpo-v7-c1-v2 to be ready
Inference service cycy233-l3-bdpo-v7-c1-v2 ready after 40.42543053627014s
Pipeline stage ISVCDeployer completed in 47.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2161264419555664s
Received healthy response to inference request in 1.320059061050415s
Received healthy response to inference request in 1.2790918350219727s
Received healthy response to inference request in 1.2591297626495361s
Received healthy response to inference request in 1.3144221305847168s
5 requests
0 failed requests
5th percentile: 1.2631221771240235
10th percentile: 1.2671145915985107
20th percentile: 1.2750994205474853
30th percentile: 1.2861578941345215
40th percentile: 1.300290012359619
50th percentile: 1.3144221305847168
60th percentile: 1.3166769027709961
70th percentile: 1.3189316749572755
80th percentile: 1.4992725372314455
90th percentile: 1.857699489593506
95th percentile: 2.036912965774536
99th percentile: 2.1802837467193603
mean time: 1.4777658462524415
Pipeline stage StressChecker completed in 8.70s
cycy233-l3-bdpo-v7-c1_v2 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v7-c1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v7-c1_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v7-c1-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.40s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c1-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.74s
cycy233-l3-bdpo-v7-c1_v2 status is now torndown due to DeploymentManager action