Fix formatting issues

convert_hf_to_gguf.py

@@ -3734,6 +3734,7 @@ class ChatGLMModel(Model):
         name = name.removeprefix("transformer.")
         return [(self.map_tensor_name(name), data_torch)]
 
+
 @Model.register("NemotronForCausalLM")
 class NemotronModel(Model):
     model_arch = gguf.MODEL_ARCH.NEMOTRON

gguf-py/gguf/constants.py

@@ -1081,7 +1081,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_NORM,
         MODEL_TENSOR.FFN_DOWN,
         MODEL_TENSOR.FFN_UP,
-    ],   
+    ],
     # TODO
 }
 
@@ -1125,7 +1125,7 @@ MODEL_TENSOR_SKIP: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
     MODEL_ARCH.NEMOTRON: [
         MODEL_TENSOR.ROPE_FREQS,
         MODEL_TENSOR.ATTN_ROT_EMBD,
-    ],    
+    ],
 }
 
 #

src/llama.cpp

@@ -1315,7 +1315,7 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_FFN_DOWN,        "blk.%d.ffn_down" },
             { LLM_TENSOR_FFN_UP,          "blk.%d.ffn_up" },
         },
-    },    
+    },
     {
         LLM_ARCH_UNKNOWN,
         {
@@ -5262,7 +5262,7 @@ static void llm_load_hparams(
                     case 32: model.type = e_model::MODEL_4B; break;
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
-            } break;   
+            } break;
         default: (void)0;
     }
 
@@ -7631,7 +7631,7 @@ static bool llm_load_tensors(
                         layer.ffn_down_b = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "bias", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
                         layer.ffn_up_b   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "bias", i), {n_ff}, llama_model_loader::TENSOR_NOT_REQUIRED);
                     }
-                } break;                
+                } break;
             default:
                 throw std::runtime_error("unknown architecture");
         }