Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ea-v0-c1-v2-mkmlizer
Waiting for job on cycy233-l3-ea-v0-c1-v2-mkmlizer to finish
cycy233-l3-ea-v0-c1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ /___/ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ║ ║
cycy233-l3-ea-v0-c1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ea-v0-c1-v2-mkmlizer: Downloaded to shared memory in 26.338s
cycy233-l3-ea-v0-c1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-ea-v0-c1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.17.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 0%| | 1/291 [00:00<00:06, 46.39it/s]
Loading 0: 1%| | 2/291 [00:00<00:06, 42.14it/s]
Loading 0: 1%|▏ | 4/291 [00:00<00:06, 43.19it/s]
Loading 0: 2%|▏ | 5/291 [00:00<00:05, 53.71it/s]
Loading 0: 2%|▏ | 7/291 [00:00<00:04, 69.39it/s]
Loading 0: 3%|▎ | 8/291 [00:00<00:03, 79.18it/s]
Loading 0: 3%|▎ | 9/291 [00:00<00:03, 79.18it/s]
Loading 0: 3%|▎ | 10/291 [00:00<00:03, 79.18it/s]
Loading 0: 4%|▍ | 11/291 [00:00<00:03, 79.18it/s]
Loading 0: 4%|▍ | 13/291 [00:00<00:03, 79.18it/s]
Loading 0: 5%|▍ | 14/291 [00:00<00:03, 79.18it/s]
Loading 0: 5%|▌ | 16/291 [00:00<00:03, 79.18it/s]
Loading 0: 6%|▌ | 18/291 [00:00<00:03, 79.18it/s]
Loading 0: 7%|▋ | 19/291 [00:00<00:03, 79.18it/s]
Loading 0: 7%|▋ | 20/291 [00:00<00:03, 79.18it/s]
Loading 0: 7%|▋ | 21/291 [00:00<00:02, 105.68it/s]
Loading 0: 8%|▊ | 22/291 [00:00<00:02, 105.68it/s]
Loading 0: 8%|▊ | 23/291 [00:00<00:02, 105.68it/s]
Loading 0: 9%|▊ | 25/291 [00:00<00:02, 105.68it/s]
Loading 0: 9%|▉ | 27/291 [00:00<00:02, 105.68it/s]
Loading 0: 10%|▉ | 28/291 [00:00<00:02, 105.68it/s]
Loading 0: 10%|▉ | 29/291 [00:00<00:02, 105.68it/s]
Loading 0: 11%|█ | 31/291 [00:00<00:02, 105.68it/s]
Loading 0: 11%|█ | 32/291 [00:00<00:02, 99.37it/s]
Loading 0: 11%|█ | 32/291 [00:00<00:02, 99.37it/s]
Loading 0: 12%|█▏ | 34/291 [00:00<00:02, 99.37it/s]
Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 99.37it/s]
Loading 0: 13%|█▎ | 37/291 [00:00<00:02, 99.37it/s]
Loading 0: 13%|█▎ | 38/291 [00:00<00:02, 99.37it/s]
Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 99.37it/s]
Loading 0: 14%|█▍ | 41/291 [00:00<00:02, 99.37it/s]
Loading 0: 15%|█▍ | 43/291 [00:00<00:02, 99.37it/s]
Loading 0: 15%|█▌ | 45/291 [00:00<00:02, 99.37it/s]
Loading 0: 16%|█▌ | 46/291 [00:00<00:02, 99.37it/s]
Loading 0: 16%|█▌ | 47/291 [00:00<00:02, 99.37it/s]
Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 114.94it/s]
Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 114.94it/s]
Loading 0: 17%|█▋ | 50/291 [00:00<00:02, 114.94it/s]
Loading 0: 18%|█▊ | 52/291 [00:00<00:02, 114.94it/s]
Loading 0: 19%|█▊ | 54/291 [00:00<00:02, 114.94it/s]
Loading 0: 19%|█▉ | 55/291 [00:00<00:02, 114.94it/s]
Loading 0: 19%|█▉ | 56/291 [00:00<00:02, 114.94it/s]
Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 114.94it/s]
Loading 0: 20%|██ | 59/291 [00:00<00:02, 114.94it/s]
Loading 0: 21%|██ | 60/291 [00:00<00:02, 108.16it/s]
Loading 0: 21%|██ | 61/291 [00:00<00:02, 108.16it/s]
Loading 0: 22%|██▏ | 63/291 [00:00<00:02, 108.16it/s]
Loading 0: 22%|██▏ | 64/291 [00:00<00:02, 108.16it/s]
Loading 0: 22%|██▏ | 65/291 [00:00<00:02, 108.16it/s]
Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 108.16it/s]
Loading 0: 23%|██▎ | 68/291 [00:00<00:02, 108.16it/s]
Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 108.16it/s]
Loading 0: 25%|██▍ | 72/291 [00:00<00:02, 108.16it/s]
Loading 0: 25%|██▌ | 73/291 [00:00<00:02, 108.16it/s]
Loading 0: 25%|██▌ | 74/291 [00:00<00:02, 108.16it/s]
Loading 0: 26%|██▌ | 75/291 [00:00<00:01, 113.90it/s]
Loading 0: 26%|██▌ | 76/291 [00:00<00:01, 113.90it/s]
Loading 0: 26%|██▋ | 77/291 [00:00<00:01, 113.90it/s]
Loading 0: 27%|██▋ | 79/291 [00:00<00:01, 113.90it/s]
Loading 0: 28%|██▊ | 81/291 [00:00<00:01, 113.90it/s]
Loading 0: 28%|██▊ | 82/291 [00:01<00:01, 113.90it/s]
Loading 0: 29%|██▊ | 83/291 [00:01<00:01, 113.90it/s]
Loading 0: 29%|██▉ | 85/291 [00:01<00:01, 113.90it/s]
Loading 0: 30%|██▉ | 86/291 [00:01<00:01, 113.90it/s]
Loading 0: 30%|██▉ | 87/291 [00:01<00:04, 48.09it/s]
Loading 0: 30%|███ | 88/291 [00:01<00:04, 48.09it/s]
Loading 0: 31%|███ | 90/291 [00:01<00:04, 48.09it/s]
Loading 0: 31%|███▏ | 91/291 [00:01<00:04, 48.09it/s]
Loading 0: 32%|███▏ | 92/291 [00:01<00:04, 48.09it/s]
Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 48.09it/s]
Loading 0: 33%|███▎ | 95/291 [00:01<00:04, 48.09it/s]
Loading 0: 33%|███▎ | 97/291 [00:01<00:04, 48.09it/s]
Loading 0: 34%|███▍ | 99/291 [00:01<00:03, 48.09it/s]
Loading 0: 34%|███▍ | 100/291 [00:01<00:03, 48.09it/s]
Loading 0: 35%|███▍ | 101/291 [00:01<00:03, 48.09it/s]
Loading 0: 35%|███▌ | 102/291 [00:01<00:03, 61.95it/s]
Loading 0: 35%|███▌ | 103/291 [00:01<00:03, 61.95it/s]
Loading 0: 36%|███▌ | 104/291 [00:01<00:03, 61.95it/s]
Loading 0: 36%|███▋ | 106/291 [00:01<00:02, 61.95it/s]
Loading 0: 37%|███▋ | 108/291 [00:01<00:02, 61.95it/s]
Loading 0: 37%|███▋ | 109/291 [00:01<00:02, 61.95it/s]
Loading 0: 38%|███▊ | 110/291 [00:01<00:02, 61.95it/s]
Loading 0: 38%|███▊ | 112/291 [00:01<00:02, 61.95it/s]
Loading 0: 39%|███▉ | 113/291 [00:01<00:02, 68.01it/s]
Loading 0: 39%|███▉ | 113/291 [00:01<00:02, 68.01it/s]
Loading 0: 40%|███▉ | 115/291 [00:01<00:02, 68.01it/s]
Loading 0: 40%|████ | 117/291 [00:01<00:02, 68.01it/s]
Loading 0: 41%|████ | 118/291 [00:01<00:02, 68.01it/s]
Loading 0: 41%|████ | 119/291 [00:01<00:02, 68.01it/s]
Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 68.01it/s]
Loading 0: 42%|████▏ | 122/291 [00:01<00:02, 68.01it/s]
Loading 0: 43%|████▎ | 124/291 [00:01<00:02, 68.01it/s]
Loading 0: 43%|████▎ | 126/291 [00:01<00:02, 68.01it/s]
Loading 0: 44%|████▎ | 127/291 [00:01<00:02, 68.01it/s]
Loading 0: 44%|████▍ | 128/291 [00:01<00:02, 68.01it/s]
Loading 0: 44%|████▍ | 129/291 [00:01<00:01, 83.48it/s]
Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 83.48it/s]
Loading 0: 45%|████▌ | 131/291 [00:01<00:01, 83.48it/s]
Loading 0: 46%|████▌ | 133/291 [00:01<00:01, 83.48it/s]
Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 83.48it/s]
Loading 0: 47%|████▋ | 136/291 [00:01<00:01, 83.48it/s]
Loading 0: 47%|████▋ | 137/291 [00:01<00:01, 83.48it/s]
Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 83.48it/s]
Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 83.48it/s]
Loading 0: 48%|████▊ | 141/291 [00:01<00:01, 85.01it/s]
Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 85.01it/s]
Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 85.01it/s]
Loading 0: 50%|████▉ | 145/291 [00:01<00:01, 85.01it/s]
Loading 0: 50%|█████ | 146/291 [00:01<00:01, 85.01it/s]
Loading 0: 51%|█████ | 148/291 [00:01<00:01, 85.01it/s]
Loading 0: 51%|█████ | 149/291 [00:01<00:01, 85.01it/s]
Loading 0: 52%|█████▏ | 151/291 [00:01<00:01, 85.01it/s]
Loading 0: 52%|█████▏ | 152/291 [00:01<00:01, 84.49it/s]
Loading 0: 53%|█████▎ | 153/291 [00:01<00:01, 84.49it/s]
Loading 0: 53%|█████▎ | 154/291 [00:01<00:01, 84.49it/s]
Loading 0: 53%|█████▎ | 155/291 [00:01<00:01, 84.49it/s]
Loading 0: 54%|█████▍ | 157/291 [00:01<00:01, 84.49it/s]
Loading 0: 54%|█████▍ | 158/291 [00:01<00:01, 84.49it/s]
Loading 0: 55%|█████▍ | 160/291 [00:01<00:01, 84.49it/s]
Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 85.82it/s]
Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 85.82it/s]
Loading 0: 56%|█████▌ | 163/291 [00:01<00:01, 85.82it/s]
Loading 0: 56%|█████▋ | 164/291 [00:02<00:01, 85.82it/s]
Loading 0: 57%|█████▋ | 166/291 [00:02<00:01, 85.82it/s]
Loading 0: 57%|█████▋ | 167/291 [00:02<00:01, 85.82it/s]
Loading 0: 58%|█████▊ | 169/291 [00:02<00:01, 85.82it/s]
Loading 0: 59%|█████▉ | 171/291 [00:02<00:01, 85.82it/s]
Loading 0: 59%|█████▉ | 172/291 [00:02<00:01, 84.24it/s]
Loading 0: 60%|█████▉ | 174/291 [00:02<00:01, 84.24it/s]
Loading 0: 60%|██████ | 176/291 [00:02<00:01, 84.24it/s]
Loading 0: 61%|██████ | 177/291 [00:02<00:01, 84.24it/s]
Loading 0: 61%|██████ | 178/291 [00:02<00:01, 84.24it/s]
Loading 0: 62%|██████▏ | 180/291 [00:02<00:01, 84.24it/s]
model.layers.24.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-ea-v0-c1-v2-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-ea-v0-c1-v2-mkmlizer:
Loading 0: 62%|██████▏ | 181/291 [00:02<00:01, 84.24it/s]
Loading 0: 63%|██████▎ | 183/291 [00:02<00:01, 84.24it/s]
Loading 0: 63%|██████▎ | 184/291 [00:02<00:01, 92.29it/s]
Loading 0: 64%|██████▎ | 185/291 [00:02<00:01, 92.29it/s]
Loading 0: 64%|██████▍ | 186/291 [00:02<00:01, 92.29it/s]
Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 92.29it/s]
Loading 0: 65%|██████▍ | 188/291 [00:02<00:01, 92.29it/s]
Loading 0: 65%|██████▍ | 189/291 [00:02<00:01, 92.29it/s]
Loading 0: 65%|██████▌ | 190/291 [00:02<00:01, 92.29it/s]
Loading 0: 66%|██████▌ | 191/291 [00:02<00:01, 92.29it/s]
Loading 0: 66%|██████▋ | 193/291 [00:02<00:01, 92.29it/s]
Loading 0: 67%|██████▋ | 194/291 [00:02<00:02, 45.17it/s]
Loading 0: 67%|██████▋ | 194/291 [00:02<00:02, 45.17it/s]
Loading 0: 67%|██████▋ | 196/291 [00:02<00:02, 45.17it/s]
Loading 0: 68%|██████▊ | 198/291 [00:02<00:02, 45.17it/s]
Loading 0: 68%|██████▊ | 199/291 [00:02<00:02, 45.17it/s]
Loading 0: 69%|██████▊ | 200/291 [00:02<00:02, 45.17it/s]
Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 45.17it/s]
Loading 0: 70%|██████▉ | 203/291 [00:02<00:01, 45.17it/s]
Loading 0: 70%|███████ | 205/291 [00:02<00:01, 45.17it/s]
Loading 0: 71%|███████ | 207/291 [00:02<00:01, 45.17it/s]
Loading 0: 71%|███████▏ | 208/291 [00:02<00:01, 45.17it/s]
Loading 0: 72%|███████▏ | 209/291 [00:02<00:01, 45.17it/s]
Loading 0: 72%|███████▏ | 210/291 [00:02<00:01, 61.06it/s]
Loading 0: 73%|███████▎ | 211/291 [00:02<00:01, 61.06it/s]
Loading 0: 73%|███████▎ | 212/291 [00:02<00:01, 61.06it/s]
Loading 0: 74%|███████▎ | 214/291 [00:02<00:01, 61.06it/s]
Loading 0: 74%|███████▍ | 216/291 [00:02<00:01, 61.06it/s]
Loading 0: 75%|███████▍ | 217/291 [00:02<00:01, 61.06it/s]
Loading 0: 75%|███████▍ | 218/291 [00:02<00:01, 61.06it/s]
Loading 0: 76%|███████▌ | 220/291 [00:02<00:01, 64.73it/s]
Loading 0: 76%|███████▌ | 220/291 [00:03<00:01, 64.73it/s]
Loading 0: 76%|███████▌ | 221/291 [00:03<00:01, 64.73it/s]
Loading 0: 77%|███████▋ | 223/291 [00:03<00:01, 64.73it/s]
Loading 0: 77%|███████▋ | 225/291 [00:03<00:01, 64.73it/s]
Loading 0: 78%|███████▊ | 226/291 [00:03<00:01, 64.73it/s]
Loading 0: 78%|███████▊ | 227/291 [00:03<00:00, 64.73it/s]
Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 64.73it/s]
Loading 0: 79%|███████▉ | 230/291 [00:03<00:00, 71.27it/s]
Loading 0: 79%|███████▉ | 230/291 [00:03<00:00, 71.27it/s]
Loading 0: 80%|███████▉ | 232/291 [00:03<00:00, 71.27it/s]
Loading 0: 80%|████████ | 234/291 [00:03<00:00, 71.27it/s]
Loading 0: 81%|████████ | 235/291 [00:03<00:00, 71.27it/s]
Loading 0: 81%|████████ | 236/291 [00:03<00:00, 71.27it/s]
Loading 0: 82%|████████▏ | 238/291 [00:03<00:00, 71.27it/s]
Loading 0: 82%|████████▏ | 239/291 [00:03<00:00, 71.27it/s]
Loading 0: 83%|████████▎ | 241/291 [00:03<00:00, 71.27it/s]
Loading 0: 84%|████████▎ | 243/291 [00:03<00:00, 71.27it/s]
Loading 0: 84%|████████▍ | 244/291 [00:03<00:00, 71.27it/s]
Loading 0: 84%|████████▍ | 245/291 [00:03<00:00, 71.27it/s]
Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 88.51it/s]
Loading 0: 85%|████████▍ | 247/291 [00:03<00:00, 88.51it/s]
Loading 0: 85%|████████▌ | 248/291 [00:03<00:00, 88.51it/s]
Loading 0: 86%|████████▌ | 250/291 [00:03<00:00, 88.51it/s]
Loading 0: 87%|████████▋ | 252/291 [00:03<00:00, 88.51it/s]
Loading 0: 87%|████████▋ | 253/291 [00:03<00:00, 88.51it/s]
Loading 0: 87%|████████▋ | 254/291 [00:03<00:00, 88.51it/s]
Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 88.51it/s]
Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 90.81it/s]
Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 90.81it/s]
Loading 0: 89%|████████▉ | 259/291 [00:03<00:00, 90.81it/s]
Loading 0: 90%|████████▉ | 261/291 [00:03<00:00, 90.81it/s]
Loading 0: 90%|█████████ | 262/291 [00:03<00:00, 90.81it/s]
Loading 0: 90%|█████████ | 263/291 [00:03<00:00, 90.81it/s]
Loading 0: 91%|█████████ | 265/291 [00:03<00:00, 90.81it/s]
Loading 0: 91%|█████████▏| 266/291 [00:03<00:00, 90.81it/s]
Loading 0: 92%|█████████▏| 268/291 [00:03<00:00, 90.81it/s]
Loading 0: 93%|█████████▎| 270/291 [00:03<00:00, 90.81it/s]
Loading 0: 93%|█████████▎| 271/291 [00:03<00:00, 90.81it/s]
Loading 0: 93%|█████████▎| 272/291 [00:03<00:00, 90.81it/s]
Loading 0: 94%|█████████▍| 273/291 [00:03<00:00, 104.91it/s]
Loading 0: 94%|█████████▍| 274/291 [00:03<00:00, 104.91it/s]
Loading 0: 95%|█████████▍| 275/291 [00:03<00:00, 104.91it/s]
Loading 0: 95%|█████████▌| 277/291 [00:03<00:00, 104.91it/s]
Loading 0: 96%|█████████▌| 279/291 [00:03<00:00, 104.91it/s]
Loading 0: 97%|█████████▋| 281/291 [00:03<00:00, 104.91it/s]
Loading 0: 97%|█████████▋| 283/291 [00:03<00:00, 104.91it/s]
Loading 0: 98%|█████████▊| 285/291 [00:03<00:00, 105.34it/s]
Loading 0: 98%|█████████▊| 285/291 [00:03<00:00, 105.34it/s]
Loading 0: 98%|█████████▊| 286/291 [00:10<00:00, 105.34it/s]
Loading 0: 99%|█████████▊| 287/291 [00:10<00:00, 105.34it/s]
Loading 0: 99%|█████████▉| 288/291 [00:10<00:00, 105.34it/s]
Loading 0: 99%|█████████▉| 289/291 [00:10<00:00, 105.34it/s]
Loading 0: 100%|█████████▉| 290/291 [00:10<00:00, 105.34it/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-v2-mkmlizer: quantized model in 30.327s
cycy233-l3-ea-v0-c1-v2-mkmlizer: Processed model cycy233/L3-ea-v0-c1 in 56.665s
cycy233-l3-ea-v0-c1-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ea-v0-c1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ea-v0-c1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2/special_tokens_map.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2/config.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2/tokenizer_config.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2/tokenizer.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ea-v0-c1-v2/flywheel_model.0.safetensors
cycy233-l3-ea-v0-c1-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ea-v0-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-ea-v0-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-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-ea-v0-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-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-ea-v0-c1-v2-mkmlizer: warnings.warn(
cycy233-l3-ea-v0-c1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ea-v0-c1-v2-mkmlizer: Saving duration: 2.293s
cycy233-l3-ea-v0-c1-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 13.519s
cycy233-l3-ea-v0-c1-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ea-v0-c1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ea-v0-c1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/config.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/special_tokens_map.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/tokenizer_config.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/merges.txt
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/vocab.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/tokenizer.json
cycy233-l3-ea-v0-c1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ea-v0-c1-v2_reward/reward.tensors
Job cycy233-l3-ea-v0-c1-v2-mkmlizer completed after 103.95s with status: succeeded
Stopping job with name cycy233-l3-ea-v0-c1-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.36s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ea-v0-c1-v2
Waiting for inference service cycy233-l3-ea-v0-c1-v2 to be ready
Inference service cycy233-l3-ea-v0-c1-v2 ready after 40.297990798950195s
Pipeline stage ISVCDeployer completed in 48.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.251706838607788s
Received healthy response to inference request in 1.5144803524017334s
Received healthy response to inference request in 1.445664644241333s
Received healthy response to inference request in 1.442540168762207s
Received healthy response to inference request in 1.5087571144104004s
5 requests
0 failed requests
5th percentile: 1.4431650638580322
10th percentile: 1.4437899589538574
20th percentile: 1.4450397491455078
30th percentile: 1.4582831382751464
40th percentile: 1.4835201263427735
50th percentile: 1.5087571144104004
60th percentile: 1.5110464096069336
70th percentile: 1.5133357048034668
80th percentile: 1.6619256496429444
90th percentile: 1.9568162441253663
95th percentile: 2.104261541366577
99th percentile: 2.222217779159546
mean time: 1.6326298236846923
Pipeline stage StressChecker completed in 9.57s
cycy233-l3-ea-v0-c1_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ea-v0-c1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ea-v0-c1_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ea-v0-c1-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.29s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ea-v0-c1-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ea-v0-c1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ea-v0-c1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ea-v0-c1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.85s
cycy233-l3-ea-v0-c1_v2 status is now torndown due to DeploymentManager action