Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-p-2801-v12-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v12-mkmlizer to finish
jellywibble-lora-120k-p-2801-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ _____ __ __ ║
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jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ /___/ ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ Version: 0.9.5.post2 ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ https://mk1.ai ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ belonging to: ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ Chai Research Corp. ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-p-2801-v12-mkmlizer: Downloaded to shared memory in 48.790s
jellywibble-lora-120k-p-2801-v12-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.17.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
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model.layers.23.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v12-mkmlizer: lm_head.weight torch.Size([139542528])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v12-mkmlizer: model.norm.weight torch.Size([4096])
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
jellywibble-lora-120k-p-2801-v12-mkmlizer: quantized model in 34.361s
jellywibble-lora-120k-p-2801-v12-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 83.152s
jellywibble-lora-120k-p-2801-v12-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12/tokenizer_config.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12/special_tokens_map.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12/config.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12/tokenizer.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v12/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v12-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-p-2801-v12-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-p-2801-v12-mkmlizer: warnings.warn(
jellywibble-lora-120k-p-2801-v12-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-p-2801-v12-mkmlizer: warnings.warn(
jellywibble-lora-120k-p-2801-v12-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.
jellywibble-lora-120k-p-2801-v12-mkmlizer: warnings.warn(
jellywibble-lora-120k-p-2801-v12-mkmlizer:
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jellywibble-lora-120k-p-2801-v12-mkmlizer:
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jellywibble-lora-120k-p-2801-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v12-mkmlizer: Saving duration: 2.441s
jellywibble-lora-120k-p-2801-v12-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.013s
jellywibble-lora-120k-p-2801-v12-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/config.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/merges.txt
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/vocab.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v12_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v12-mkmlizer completed after 197.7s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v12-mkmlizer
Pipeline stage MKMLizer completed in 198.51s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v12
Waiting for inference service jellywibble-lora-120k-p-2801-v12 to be ready
Tearing down inference service jellywibble-lora-120k-p-2801-v12
%s, retrying in %s seconds...
Creating inference service jellywibble-lora-120k-p-2801-v12
Waiting for inference service jellywibble-lora-120k-p-2801-v12 to be ready
Failed to get response for submission google-gemma-2-27b-it_v9: ('http://google-gemma-2-27b-it-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:44954->127.0.0.1:8080: read: connection reset by peer\n')
Inference service jellywibble-lora-120k-p-2801-v12 ready after 90.40265440940857s
Pipeline stage ISVCDeployer completed in 112.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1544406414031982s
Received healthy response to inference request in 1.179936408996582s
Received healthy response to inference request in 1.1577682495117188s
Received healthy response to inference request in 1.1458406448364258s
Received healthy response to inference request in 1.1514892578125s
5 requests
0 failed requests
5th percentile: 1.1469703674316407
10th percentile: 1.1481000900268554
20th percentile: 1.150359535217285
30th percentile: 1.1527450561523438
40th percentile: 1.1552566528320312
50th percentile: 1.1577682495117188
60th percentile: 1.166635513305664
70th percentile: 1.1755027770996094
80th percentile: 1.3748372554779054
90th percentile: 1.7646389484405518
95th percentile: 1.959539794921875
99th percentile: 2.1154604721069337
mean time: 1.3578950405120849
Pipeline stage StressChecker completed in 8.06s
jellywibble-lora-120k-p_2801_v12 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v12 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v12
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v12 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.19s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v12/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v12/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v12/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v12/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v12/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v12_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v12_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.87s
jellywibble-lora-120k-p_2801_v12 status is now torndown due to DeploymentManager action