# This is a base shape file encoded in yaml
# - `null` indicates a dimension is "finite", i.e. a non-"width" dimension
# - a number indicates the base dimension of an "infinite" dimension, i.e. some notion of "width"
blocks.0.conv1.bias:
- 128
blocks.0.conv1.weight:
- 128
- 128
- null
blocks.0.conv2.bias:
- 128
blocks.0.conv2.weight:
- 128
- 128
- null
blocks.0.norm.bias:
- 128
blocks.0.norm.weight:
- 128
blocks.1.conv1.bias:
- 128
blocks.1.conv1.weight:
- 128
- 128
- null
blocks.1.conv2.bias:
- 128
blocks.1.conv2.weight:
- 128
- 128
- null
blocks.1.norm.bias:
- 128
blocks.1.norm.weight:
- 128
blocks.2.conv1.bias:
- 128
blocks.2.conv1.weight:
- 128
- 128
- null
blocks.2.conv2.bias:
- 128
blocks.2.conv2.weight:
- 128
- 128
- null
blocks.2.norm.bias:
- 128
blocks.2.norm.weight:
- 128
conv_in.bias:
- 128
conv_in.weight:
- 128
- null
- null
heads.0.bias:
- null
heads.0.weight:
- null
- 128
heads.1.bias:
- null
heads.1.weight:
- null
- 128
heads.2.bias:
- null
heads.2.weight:
- null
- 128
heads.3.bias:
- null
heads.3.weight:
- null
- 128
heads.4.bias:
- null
heads.4.weight:
- null
- 128
heads.5.bias:
- null
heads.5.weight:
- null
- 128
heads.6.bias:
- null
heads.6.weight:
- null
- 128
heads.7.bias:
- null
heads.7.weight:
- null
- 128
norm_out.bias:
- 128
norm_out.weight:
- 128
position:
- null
- null
- 128
transformer.0.k_proj.bias:
- 128
transformer.0.k_proj.weight:
- 128
- 128
transformer.0.linear1.bias:
- 512
transformer.0.linear1.weight:
- 512
- 128
transformer.0.linear2.bias:
- 128
transformer.0.linear2.weight:
- 128
- 512
transformer.0.norm1.bias:
- 128
transformer.0.norm1.weight:
- 128
transformer.0.norm2.bias:
- 128
transformer.0.norm2.weight:
- 128
transformer.0.out_proj.bias:
- 128
transformer.0.out_proj.weight:
- 128
- 128
transformer.0.q_proj.bias:
- 128
transformer.0.q_proj.weight:
- 128
- 128
transformer.0.v_proj.bias:
- 128
transformer.0.v_proj.weight:
- 128
- 128
transformer.1.k_proj.bias:
- 128
transformer.1.k_proj.weight:
- 128
- 128
transformer.1.linear1.bias:
- 512
transformer.1.linear1.weight:
- 512
- 128
transformer.1.linear2.bias:
- 128
transformer.1.linear2.weight:
- 128
- 512
transformer.1.norm1.bias:
- 128
transformer.1.norm1.weight:
- 128
transformer.1.norm2.bias:
- 128
transformer.1.norm2.weight:
- 128
transformer.1.out_proj.bias:
- 128
transformer.1.out_proj.weight:
- 128
- 128
transformer.1.q_proj.bias:
- 128
transformer.1.q_proj.weight:
- 128
- 128
transformer.1.v_proj.bias:
- 128
transformer.1.v_proj.weight:
- 128
- 128
transformer.2.k_proj.bias:
- 128
transformer.2.k_proj.weight:
- 128
- 128
transformer.2.linear1.bias:
- 512
transformer.2.linear1.weight:
- 512
- 128
transformer.2.linear2.bias:
- 128
transformer.2.linear2.weight:
- 128
- 512
transformer.2.norm1.bias:
- 128
transformer.2.norm1.weight:
- 128
transformer.2.norm2.bias:
- 128
transformer.2.norm2.weight:
- 128
transformer.2.out_proj.bias:
- 128
transformer.2.out_proj.weight:
- 128
- 128
transformer.2.q_proj.bias:
- 128
transformer.2.q_proj.weight:
- 128
- 128
transformer.2.v_proj.bias:
- 128
transformer.2.v_proj.weight:
- 128
- 128
transformer.3.k_proj.bias:
- 128
transformer.3.k_proj.weight:
- 128
- 128
transformer.3.linear1.bias:
- 512
transformer.3.linear1.weight:
- 512
- 128
transformer.3.linear2.bias:
- 128
transformer.3.linear2.weight:
- 128
- 512
transformer.3.norm1.bias:
- 128
transformer.3.norm1.weight:
- 128
transformer.3.norm2.bias:
- 128
transformer.3.norm2.weight:
- 128
transformer.3.out_proj.bias:
- 128
transformer.3.out_proj.weight:
- 128
- 128
transformer.3.q_proj.bias:
- 128
transformer.3.q_proj.weight:
- 128
- 128
transformer.3.v_proj.bias:
- 128
transformer.3.v_proj.weight:
- 128
- 128
transformer.4.k_proj.bias:
- 128
transformer.4.k_proj.weight:
- 128
- 128
transformer.4.linear1.bias:
- 512
transformer.4.linear1.weight:
- 512
- 128
transformer.4.linear2.bias:
- 128
transformer.4.linear2.weight:
- 128
- 512
transformer.4.norm1.bias:
- 128
transformer.4.norm1.weight:
- 128
transformer.4.norm2.bias:
- 128
transformer.4.norm2.weight:
- 128
transformer.4.out_proj.bias:
- 128
transformer.4.out_proj.weight:
- 128
- 128
transformer.4.q_proj.bias:
- 128
transformer.4.q_proj.weight:
- 128
- 128
transformer.4.v_proj.bias:
- 128
transformer.4.v_proj.weight:
- 128
- 128
transformer.5.k_proj.bias:
- 128
transformer.5.k_proj.weight:
- 128
- 128
transformer.5.linear1.bias:
- 512
transformer.5.linear1.weight:
- 512
- 128
transformer.5.linear2.bias:
- 128
transformer.5.linear2.weight:
- 128
- 512
transformer.5.norm1.bias:
- 128
transformer.5.norm1.weight:
- 128
transformer.5.norm2.bias:
- 128
transformer.5.norm2.weight:
- 128
transformer.5.out_proj.bias:
- 128
transformer.5.out_proj.weight:
- 128
- 128
transformer.5.q_proj.bias:
- 128
transformer.5.q_proj.weight:
- 128
- 128
transformer.5.v_proj.bias:
- 128
transformer.5.v_proj.weight:
- 128
- 128
transformer.6.k_proj.bias:
- 128
transformer.6.k_proj.weight:
- 128
- 128
transformer.6.linear1.bias:
- 512
transformer.6.linear1.weight:
- 512
- 128
transformer.6.linear2.bias:
- 128
transformer.6.linear2.weight:
- 128
- 512
transformer.6.norm1.bias:
- 128
transformer.6.norm1.weight:
- 128
transformer.6.norm2.bias:
- 128
transformer.6.norm2.weight:
- 128
transformer.6.out_proj.bias:
- 128
transformer.6.out_proj.weight:
- 128
- 128
transformer.6.q_proj.bias:
- 128
transformer.6.q_proj.weight:
- 128
- 128
transformer.6.v_proj.bias:
- 128
transformer.6.v_proj.weight:
- 128
- 128
transformer.7.k_proj.bias:
- 128
transformer.7.k_proj.weight:
- 128
- 128
transformer.7.linear1.bias:
- 512
transformer.7.linear1.weight:
- 512
- 128
transformer.7.linear2.bias:
- 128
transformer.7.linear2.weight:
- 128
- 512
transformer.7.norm1.bias:
- 128
transformer.7.norm1.weight:
- 128
transformer.7.norm2.bias:
- 128
transformer.7.norm2.weight:
- 128
transformer.7.out_proj.bias:
- 128
transformer.7.out_proj.weight:
- 128
- 128
transformer.7.q_proj.bias:
- 128
transformer.7.q_proj.weight:
- 128
- 128
transformer.7.v_proj.bias:
- 128
transformer.7.v_proj.weight:
- 128
- 128