update for flake8 lint
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1 changed files with 3 additions and 0 deletions
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@ -1085,8 +1085,10 @@ class MiniCPMModel(Model):
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self.gguf_writer.add_head_count_kv(self.hparams["num_key_value_heads"])
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self.gguf_writer.add_head_count_kv(self.hparams["num_key_value_heads"])
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self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
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self.gguf_writer.add_layer_norm_rms_eps(self.hparams["rms_norm_eps"])
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self.gguf_writer.add_file_type(self.ftype)
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self.gguf_writer.add_file_type(self.ftype)
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def set_vocab(self):
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def set_vocab(self):
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self._set_vocab_hf()
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self._set_vocab_hf()
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def _reverse_hf_permute(self, weights: Tensor, n_head: int, n_kv_head: int | None = None) -> Tensor:
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def _reverse_hf_permute(self, weights: Tensor, n_head: int, n_kv_head: int | None = None) -> Tensor:
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if n_kv_head is not None and n_head != n_kv_head:
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if n_kv_head is not None and n_head != n_kv_head:
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n_head //= n_kv_head
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n_head //= n_kv_head
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@ -1096,6 +1098,7 @@ class MiniCPMModel(Model):
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.swapaxes(1, 2)
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.swapaxes(1, 2)
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.reshape(weights.shape)
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.reshape(weights.shape)
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)
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)
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def write_tensors(self):
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def write_tensors(self):
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block_count = self.hparams.get("n_layers", self.hparams.get("num_hidden_layers", self.hparams.get("n_layer")))
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block_count = self.hparams.get("n_layers", self.hparams.get("num_hidden_layers", self.hparams.get("n_layer")))
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tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
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tensor_map = gguf.get_tensor_name_map(self.model_arch, block_count)
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