From 4f6ef2c0858e545ffc81375a1d857c09ad19fa65 Mon Sep 17 00:00:00 2001 From: Yee Man Chan Date: Sun, 11 Jan 2026 22:33:58 +0800 Subject: [PATCH] try to make lint happy --- convert_hf_to_gguf.py | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/convert_hf_to_gguf.py b/convert_hf_to_gguf.py index e99deeeb44..a6d2810359 100755 --- a/convert_hf_to_gguf.py +++ b/convert_hf_to_gguf.py @@ -5159,7 +5159,6 @@ class KimiLinearModel(TextModel): self.gguf_writer.add_ssm_conv_kernel(ssm_d_conv) kda_head_dim = self.hparams.get("kda_head_dim") or linear_attn_config.get("head_dim") - if kda_head_dim is not None: self.gguf_writer.add_kda_head_dim(kda_head_dim) @@ -5328,11 +5327,7 @@ class KimiLinearModel(TextModel): kv_b = data_torch.view(n_head_kv, v_head_dim + qk_nope_head_dim, data_torch.shape[-1]) k_b, v_b = torch.split(kv_b, [qk_nope_head_dim, v_head_dim], dim=1) k_b = k_b.transpose(1, 2) - - return [ - (self.map_tensor_name(name_kb), k_b), - (self.map_tensor_name(name_vb), v_b) - ] + return [(self.map_tensor_name(name_kb), k_b), (self.map_tensor_name(name_vb), v_b)] mapped_name = self.map_tensor_name(name) logger.info(f"Returning {mapped_name}: shape after = {tuple(data_torch.shape)}")