submission_id: cycy233-l3-ea-v0-c1_v1
developer_uid: shiroe40
alignment_samples: 0
best_of: 16
celo_rating: 1195.82
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': 1.0, '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-ea-v0-c1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ea-v0-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ea-v0-c1
model_size: 8B
num_battles: 146519
num_wins: 69894
propriety_score: 0.7598830734966593
propriety_total_count: 7184.0
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: 2024-07-16T05:43:23+00:00
us_pacific_date: 2024-07-15
win_ratio: 0.47703028276196263
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ea-v0-c1-v1-mkmlizer
Waiting for job on cycy233-l3-ea-v0-c1-v1-mkmlizer to finish
cycy233-l3-ea-v0-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ /___/ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ea-v0-c1-v1-mkmlizer: Downloaded to shared memory in 40.298s
cycy233-l3-ea-v0-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-ea-v0-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.17.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 0%| | 1/291 [00:00<00:00, 302.34it/s] Loading 0: 1%| | 2/291 [00:00<00:04, 66.82it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:05, 51.15it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:04, 63.56it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:03, 80.32it/s] Loading 0: 3%|▎ | 9/291 [00:00<00:03, 93.87it/s] Loading 0: 3%|▎ | 10/291 [00:00<00:02, 103.54it/s] Loading 0: 4%|▍ | 11/291 [00:00<00:03, 93.02it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 101.35it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 101.35it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 101.35it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:02, 101.35it/s] Loading 0: 6%|▌ | 18/291 [00:00<00:02, 101.35it/s] Loading 0: 7%|▋ | 19/291 [00:00<00:02, 101.35it/s] Loading 0: 7%|▋ | 20/291 [00:00<00:02, 101.35it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:02, 101.35it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 93.18it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 93.18it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:02, 93.18it/s] Loading 0: 9%|▉ | 27/291 [00:00<00:02, 93.18it/s] Loading 0: 10%|▉ | 28/291 [00:00<00:02, 93.18it/s] Loading 0: 10%|▉ | 29/291 [00:00<00:02, 93.18it/s] Loading 0: 11%|█ | 31/291 [00:00<00:02, 93.18it/s] Loading 0: 11%|█ | 32/291 [00:00<00:02, 93.18it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:02, 93.18it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 93.18it/s] Loading 0: 13%|█▎ | 37/291 [00:00<00:02, 93.18it/s] Loading 0: 13%|█▎ | 38/291 [00:00<00:02, 93.18it/s] Loading 0: 13%|█▎ | 39/291 [00:00<00:02, 112.26it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 112.26it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:02, 112.26it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:02, 112.26it/s] Loading 0: 15%|█▌ | 45/291 [00:00<00:02, 112.26it/s] Loading 0: 16%|█▌ | 46/291 [00:00<00:02, 112.26it/s] Loading 0: 16%|█▌ | 47/291 [00:00<00:02, 112.26it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 112.26it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:02, 112.26it/s] Loading 0: 18%|█▊ | 51/291 [00:00<00:02, 103.27it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:02, 103.27it/s] Loading 0: 19%|█▊ | 54/291 [00:00<00:02, 103.27it/s] Loading 0: 19%|█▉ | 55/291 [00:00<00:02, 103.27it/s] Loading 0: 19%|█▉ | 56/291 [00:00<00:02, 103.27it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 103.27it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 103.27it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 103.27it/s] Loading 0: 22%|██▏ | 63/291 [00:00<00:02, 103.27it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:02, 110.97it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:02, 110.97it/s] Loading 0: 22%|██▏ | 65/291 [00:00<00:02, 110.97it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 110.97it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:02, 110.97it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:01, 110.97it/s] Loading 0: 25%|██▍ | 72/291 [00:00<00:01, 110.97it/s] Loading 0: 25%|██▌ | 73/291 [00:00<00:01, 110.97it/s] Loading 0: 25%|██▌ | 74/291 [00:00<00:01, 110.97it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 105.73it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 105.73it/s] Loading 0: 26%|██▋ | 77/291 [00:00<00:02, 105.73it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:02, 105.73it/s] Loading 0: 28%|██▊ | 81/291 [00:00<00:01, 105.73it/s] Loading 0: 28%|██▊ | 82/291 [00:01<00:01, 105.73it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:01, 105.73it/s] Loading 0: 29%|██▉ | 85/291 [00:01<00:01, 105.73it/s] Loading 0: 30%|██▉ | 86/291 [00:01<00:01, 105.73it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:04, 44.38it/s] Loading 0: 30%|███ | 88/291 [00:01<00:04, 44.38it/s] Loading 0: 31%|███ | 90/291 [00:01<00:04, 44.38it/s] Loading 0: 31%|███▏ | 91/291 [00:01<00:04, 44.38it/s] Loading 0: 32%|███▏ | 92/291 [00:01<00:04, 44.38it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 44.38it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:04, 44.38it/s] Loading 0: 33%|███▎ | 97/291 [00:01<00:04, 44.38it/s] Loading 0: 34%|███▍ | 99/291 [00:01<00:03, 54.88it/s] Loading 0: 34%|███▍ | 99/291 [00:01<00:03, 54.88it/s] Loading 0: 34%|███▍ | 100/291 [00:01<00:03, 54.88it/s] Loading 0: 35%|███▍ | 101/291 [00:01<00:03, 54.88it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:03, 54.88it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:03, 54.88it/s] Loading 0: 36%|███▋ | 106/291 [00:01<00:03, 54.88it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:03, 54.88it/s] Loading 0: 37%|███▋ | 109/291 [00:01<00:03, 54.88it/s] Loading 0: 38%|███▊ | 110/291 [00:01<00:02, 64.30it/s] Loading 0: 38%|███▊ | 110/291 [00:01<00:02, 64.30it/s] Loading 0: 38%|███▊ | 112/291 [00:01<00:02, 64.30it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:02, 64.30it/s] Loading 0: 40%|███▉ | 115/291 [00:01<00:02, 64.30it/s] Loading 0: 40%|████ | 117/291 [00:01<00:02, 64.30it/s] Loading 0: 41%|████ | 118/291 [00:01<00:02, 64.30it/s] Loading 0: 41%|████ | 119/291 [00:01<00:02, 64.30it/s] Loading 0: 41%|████ | 120/291 [00:01<00:02, 69.44it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 69.44it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:02, 69.44it/s] Loading 0: 43%|████▎ | 124/291 [00:01<00:02, 69.44it/s] Loading 0: 43%|████▎ | 126/291 [00:01<00:02, 69.44it/s] Loading 0: 44%|████▎ | 127/291 [00:01<00:02, 69.44it/s] Loading 0: 44%|████▍ | 128/291 [00:01<00:02, 69.44it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:02, 74.64it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:02, 74.64it/s] Loading 0: 45%|████▌ | 131/291 [00:01<00:02, 74.64it/s] Loading 0: 46%|████▌ | 133/291 [00:01<00:02, 74.64it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:02, 74.64it/s] Loading 0: 47%|████▋ | 136/291 [00:01<00:02, 74.64it/s] Loading 0: 47%|████▋ | 137/291 [00:01<00:02, 74.64it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:02, 74.64it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 79.22it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 79.22it/s] Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 79.22it/s] Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 79.22it/s] Loading 0: 50%|████▉ | 145/291 [00:01<00:01, 79.22it/s] Loading 0: 50%|█████ | 146/291 [00:01<00:01, 79.22it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 79.22it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 79.22it/s] Loading 0: 52%|█████▏ | 151/291 [00:01<00:01, 79.22it/s] Loading 0: 53%|█████▎ | 153/291 [00:01<00:01, 90.42it/s] Loading 0: 53%|█████▎ | 153/291 [00:01<00:01, 90.42it/s] Loading 0: 53%|█████▎ | 154/291 [00:01<00:01, 90.42it/s] Loading 0: 53%|█████▎ | 155/291 [00:01<00:01, 90.42it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 90.42it/s] Loading 0: 54%|█████▍ | 158/291 [00:02<00:01, 90.42it/s] Loading 0: 55%|█████▍ | 160/291 [00:02<00:01, 90.42it/s] Loading 0: 56%|█████▌ | 162/291 [00:02<00:01, 90.42it/s] Loading 0: 56%|█████▌ | 163/291 [00:02<00:01, 90.42it/s] Loading 0: 56%|█████▋ | 164/291 [00:02<00:01, 90.42it/s] Loading 0: 57%|█████▋ | 165/291 [00:02<00:01, 94.72it/s] Loading 0: 57%|█████▋ | 166/291 [00:02<00:01, 94.72it/s] Loading 0: 57%|█████▋ | 167/291 [00:02<00:01, 94.72it/s] Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 94.72it/s] Loading 0: 59%|█████▉ | 171/291 [00:02<00:01, 94.72it/s] Loading 0: 60%|█████▉ | 174/291 [00:02<00:01, 94.72it/s] Loading 0: 60%|██████ | 176/291 [00:02<00:01, 94.72it/s] Loading 0: 61%|██████ | 177/291 [00:02<00:01, 94.72it/s] Loading 0: 61%|██████ | 178/291 [00:02<00:01, 94.72it/s] Loading 0: 62%|██████▏ | 179/291 [00:02<00:01, 100.91it/s] model.layers.24.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v1-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v1-mkmlizer: Loading 0: 62%|██████▏ | 180/291 [00:02<00:01, 100.91it/s] Loading 0: 62%|██████▏ | 181/291 [00:02<00:01, 100.91it/s] Loading 0: 63%|██████▎ | 183/291 [00:02<00:01, 100.91it/s] Loading 0: 64%|██████▎ | 185/291 [00:02<00:01, 100.91it/s] Loading 0: 64%|██████▍ | 186/291 [00:02<00:01, 100.91it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 100.91it/s] Loading 0: 65%|██████▍ | 188/291 [00:02<00:01, 100.91it/s] Loading 0: 65%|██████▍ | 189/291 [00:02<00:01, 100.91it/s] Loading 0: 65%|██████▌ | 190/291 [00:02<00:02, 47.99it/s] Loading 0: 65%|██████▌ | 190/291 [00:02<00:02, 47.99it/s] Loading 0: 66%|██████▌ | 191/291 [00:02<00:02, 47.99it/s] Loading 0: 66%|██████▋ | 193/291 [00:02<00:02, 47.99it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:02, 47.99it/s] Loading 0: 67%|██████▋ | 196/291 [00:02<00:01, 47.99it/s] Loading 0: 68%|██████▊ | 198/291 [00:02<00:01, 47.99it/s] Loading 0: 68%|██████▊ | 199/291 [00:02<00:01, 47.99it/s] Loading 0: 69%|██████▊ | 200/291 [00:02<00:01, 47.99it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 57.12it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 57.12it/s] Loading 0: 70%|██████▉ | 203/291 [00:02<00:01, 57.12it/s] Loading 0: 70%|███████ | 205/291 [00:02<00:01, 57.12it/s] Loading 0: 71%|███████ | 207/291 [00:02<00:01, 57.12it/s] Loading 0: 71%|███████▏ | 208/291 [00:02<00:01, 57.12it/s] Loading 0: 72%|███████▏ | 209/291 [00:02<00:01, 57.12it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:01, 57.12it/s] Loading 0: 73%|███████▎ | 212/291 [00:02<00:01, 57.12it/s] Loading 0: 74%|███████▎ | 214/291 [00:02<00:01, 57.12it/s] Loading 0: 74%|███████▍ | 215/291 [00:02<00:01, 69.21it/s] Loading 0: 74%|███████▍ | 216/291 [00:02<00:01, 69.21it/s] Loading 0: 75%|███████▍ | 217/291 [00:02<00:01, 69.21it/s] Loading 0: 75%|███████▍ | 218/291 [00:02<00:01, 69.21it/s] Loading 0: 76%|███████▌ | 220/291 [00:03<00:01, 69.21it/s] Loading 0: 76%|███████▌ | 221/291 [00:03<00:01, 69.21it/s] Loading 0: 77%|███████▋ | 223/291 [00:03<00:00, 69.21it/s] Loading 0: 77%|███████▋ | 225/291 [00:03<00:00, 69.21it/s] Loading 0: 78%|███████▊ | 226/291 [00:03<00:00, 69.21it/s] Loading 0: 78%|███████▊ | 227/291 [00:03<00:00, 69.21it/s] Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 80.31it/s] Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 80.31it/s] Loading 0: 79%|███████▉ | 230/291 [00:03<00:00, 80.31it/s] Loading 0: 80%|███████▉ | 232/291 [00:03<00:00, 80.31it/s] Loading 0: 80%|████████ | 234/291 [00:03<00:00, 80.31it/s] Loading 0: 81%|████████ | 235/291 [00:03<00:00, 80.31it/s] Loading 0: 81%|████████ | 236/291 [00:03<00:00, 80.31it/s] Loading 0: 82%|████████▏ | 238/291 [00:03<00:00, 80.31it/s] Loading 0: 82%|████████▏ | 239/291 [00:03<00:00, 80.31it/s] Loading 0: 83%|████████▎ | 241/291 [00:03<00:00, 80.31it/s] Loading 0: 83%|████████▎ | 242/291 [00:03<00:00, 90.43it/s] Loading 0: 84%|████████▎ | 243/291 [00:03<00:00, 90.43it/s] Loading 0: 84%|████████▍ | 244/291 [00:03<00:00, 90.43it/s] Loading 0: 84%|████████▍ | 245/291 [00:03<00:00, 90.43it/s] Loading 0: 85%|████████▍ | 247/291 [00:03<00:00, 90.43it/s] Loading 0: 85%|████████▌ | 248/291 [00:03<00:00, 90.43it/s] Loading 0: 86%|████████▌ | 250/291 [00:03<00:00, 90.43it/s] Loading 0: 87%|████████▋ | 252/291 [00:03<00:00, 90.43it/s] Loading 0: 87%|████████▋ | 253/291 [00:03<00:00, 90.43it/s] Loading 0: 87%|████████▋ | 254/291 [00:03<00:00, 90.43it/s] Loading 0: 88%|████████▊ | 255/291 [00:03<00:00, 98.16it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 98.16it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 98.16it/s] Loading 0: 89%|████████▉ | 259/291 [00:03<00:00, 98.16it/s] Loading 0: 90%|████████▉ | 261/291 [00:03<00:00, 98.16it/s] Loading 0: 90%|█████████ | 262/291 [00:03<00:00, 98.16it/s] Loading 0: 90%|█████████ | 263/291 [00:03<00:00, 98.16it/s] Loading 0: 91%|█████████ | 265/291 [00:03<00:00, 98.16it/s] Loading 0: 91%|█████████▏| 266/291 [00:03<00:00, 98.16it/s] Loading 0: 92%|█████████▏| 267/291 [00:03<00:00, 100.92it/s] Loading 0: 92%|█████████▏| 268/291 [00:03<00:00, 100.92it/s] Loading 0: 93%|█████████▎| 270/291 [00:03<00:00, 100.92it/s] Loading 0: 93%|█████████▎| 271/291 [00:03<00:00, 100.92it/s] Loading 0: 93%|█████████▎| 272/291 [00:03<00:00, 100.92it/s] Loading 0: 94%|█████████▍| 274/291 [00:03<00:00, 100.92it/s] Loading 0: 95%|█████████▍| 275/291 [00:03<00:00, 100.92it/s] Loading 0: 95%|█████████▌| 277/291 [00:03<00:00, 100.92it/s] Loading 0: 96%|█████████▌| 279/291 [00:03<00:00, 100.92it/s] Loading 0: 97%|█████████▋| 281/291 [00:03<00:00, 109.40it/s] Loading 0: 97%|█████████▋| 281/291 [00:03<00:00, 109.40it/s] Loading 0: 97%|█████████▋| 283/291 [00:03<00:00, 109.40it/s] Loading 0: 98%|█████████▊| 285/291 [00:03<00:00, 109.40it/s] Loading 0: 98%|█████████▊| 286/291 [00:10<00:00, 109.40it/s] Loading 0: 99%|█████████▊| 287/291 [00:10<00:00, 109.40it/s] Loading 0: 99%|█████████▉| 288/291 [00:10<00:00, 109.40it/s] Loading 0: 99%|█████████▉| 289/291 [00:10<00:00, 109.40it/s] Loading 0: 100%|█████████▉| 290/291 [00:10<00:00, 109.40it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-ea-v0-c1-v1-mkmlizer: quantized model in 30.039s
cycy233-l3-ea-v0-c1-v1-mkmlizer: Processed model cycy233/L3-ea-v0-c1 in 70.337s
cycy233-l3-ea-v0-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ea-v0-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ea-v0-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1/special_tokens_map.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1/config.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1/tokenizer_config.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1/tokenizer.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v1/flywheel_model.0.safetensors
cycy233-l3-ea-v0-c1-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ea-v0-c1-v1-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-ea-v0-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-c1-v1-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-ea-v0-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-c1-v1-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-ea-v0-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-c1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ea-v0-c1-v1-mkmlizer: Saving duration: 2.277s
cycy233-l3-ea-v0-c1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 16.053s
cycy233-l3-ea-v0-c1-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ea-v0-c1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ea-v0-c1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/config.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/special_tokens_map.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/tokenizer_config.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/vocab.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/tokenizer.json
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/merges.txt
cycy233-l3-ea-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v1_reward/reward.tensors
Job cycy233-l3-ea-v0-c1-v1-mkmlizer completed after 122.06s with status: succeeded
Stopping job with name cycy233-l3-ea-v0-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 123.02s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ea-v0-c1-v1
Waiting for inference service cycy233-l3-ea-v0-c1-v1 to be ready
Inference service cycy233-l3-ea-v0-c1-v1 ready after 50.19919419288635s
Pipeline stage ISVCDeployer completed in 57.47s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3608951568603516s
Received healthy response to inference request in 1.4699594974517822s
Received healthy response to inference request in 1.4568538665771484s
Received healthy response to inference request in 1.4352378845214844s
Received healthy response to inference request in 1.482234239578247s
5 requests
0 failed requests
5th percentile: 1.4395610809326171
10th percentile: 1.44388427734375
20th percentile: 1.4525306701660157
30th percentile: 1.4594749927520752
40th percentile: 1.4647172451019288
50th percentile: 1.4699594974517822
60th percentile: 1.474869394302368
70th percentile: 1.4797792911529541
80th percentile: 1.6579664230346682
90th percentile: 2.0094307899475097
95th percentile: 2.1851629734039304
99th percentile: 2.3257487201690674
mean time: 1.6410361289978028
Pipeline stage StressChecker completed in 9.56s
cycy233-l3-ea-v0-c1_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ea-v0-c1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ea-v0-c1_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ea-v0-c1-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.13s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ea-v0-c1-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ea-v0-c1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.05s
cycy233-l3-ea-v0-c1_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics