Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 2 was different:
transformer.context_embedder.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.context_embedder.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.norm_out.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.norm_out.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.18.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.19.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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transformer.single_transformer_blocks.19.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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single_blocks.19.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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single_blocks.19.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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single_blocks.19.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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single_blocks.2.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.in_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.in_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.out_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.out_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
txt_in.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
txt_in.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.in_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.in_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.out_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.out_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 2 was different:
transformer.context_embedder.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.context_embedder.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.norm_out.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.norm_out.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.0.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.1.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.10.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.11.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.12.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.13.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.14.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.15.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.norm.linear.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.norm.linear.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_mlp.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_mlp.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_out.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.16.proj_out.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_k.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_k.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_q.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_q.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_v.lora_A.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
transformer.single_transformer_blocks.17.attn.to_v.lora_B.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
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vs
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single_blocks.15.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.16.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.17.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.18.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.19.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.2.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.20.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.21.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.22.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.23.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.24.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.25.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.26.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.27.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.28.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.29.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.3.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.30.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.31.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.32.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.33.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.34.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.35.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.36.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.37.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.4.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.5.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.6.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.7.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.8.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear1.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear1.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear2.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.linear2.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.modulation.lin.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.modulation.lin.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.norm.key_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
single_blocks.9.norm.query_norm.scale: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.in_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.in_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.out_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
time_in.out_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
txt_in.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
txt_in.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.in_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.in_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.out_layer.bias: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>
vector_in.out_layer.weight: struct<dtype: string, shape: list<item: int64>, data_offsets: list<item: int64>>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MIR (Machine Intelligence Resource)
A naming schema for AIGC/ML work.
The MIR classification format seeks to standardize and complete a hyperlinked network of model information, improving accessibility and reproducibility across the AI community.
The work is inspired by:
Example:
mir :// model.vit.clip-vit-l-patch14:stable-diffusion-xl-1
mir : model . lora . hyper : flux-1
↑ ↑ ↑ ↑ ↑
[URI]://[Domain].[Architecture].[Series]:[Compatibility]
This dataset is a cache of hash values and layer names extracted from various models and saved to json files. Their purpose is for cataloging model architectures across a broad diversity of applications, and for building a comprehensive recognition network using MIR identifiers for nnll. Code for this project can be found at MIR and nnll project pages.
More information about MIR available at darkshapes wiki
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