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  1. README.md +7 -3
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@@ -7,12 +7,13 @@ license: mit
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  # dm_qwen4b_emulator
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- 2-layer MLP.
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  ## Config
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  - `input_dim`: 6
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- - `hidden_dim`: 256
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  - `output_dim`: 3
 
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  ## Usage
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@@ -32,13 +33,16 @@ class MLP(nn.Module):
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  nn.Linear(hidden_dim, hidden_dim),
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  nn.LayerNorm(hidden_dim),
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  nn.ReLU(),
 
 
 
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  nn.Linear(hidden_dim, output_dim),
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  )
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  def forward(self, x):
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  return self.mlp(x)
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  path = hf_hub_download("anonom799/dm_qwen4b_emulator", "model.safetensors")
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- model = MLP(input_dim=6, hidden_dim=256, output_dim=3)
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  model.load_state_dict(load_file(path))
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  model.eval()
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  # dm_qwen4b_emulator
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+ MLP with 3 hidden Linear->LayerNorm->ReLU block(s) and a linear output head.
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  ## Config
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  - `input_dim`: 6
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+ - `hidden_dim`: 512
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  - `output_dim`: 3
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+ - `n_layers`: 3
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  ## Usage
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  nn.Linear(hidden_dim, hidden_dim),
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  nn.LayerNorm(hidden_dim),
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  nn.ReLU(),
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+ nn.Linear(hidden_dim, hidden_dim),
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+ nn.LayerNorm(hidden_dim),
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+ nn.ReLU(),
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  nn.Linear(hidden_dim, output_dim),
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  )
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  def forward(self, x):
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  return self.mlp(x)
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  path = hf_hub_download("anonom799/dm_qwen4b_emulator", "model.safetensors")
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+ model = MLP(input_dim=6, hidden_dim=512, output_dim=3)
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  model.load_state_dict(load_file(path))
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  model.eval()
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