[Code] Fix editorconfig erros

Author: Si1w

convert_hf_to_gguf.py

@@ -4414,8 +4414,7 @@ def prepare_tensors(self):
             # flatten `list[dict[str, Tensor]]` into `list[str]`
             experts = [k for d in self._experts for k in d.keys()]
             if len(experts) > 0:
-                raise ValueError(f"Unprocessed experts: {experts}")
-            
+                raise ValueError(f"Unprocessed experts: {experts}")            
 
 @Model.register("PLMForCausalLM")
 class PLMModel(Model):
@@ -4426,7 +4425,6 @@ def set_vocab(self):
     def set_gguf_parameters(self):
         super().set_gguf_parameters()
         hparams = self.hparams
-
         self.gguf_writer.add_vocab_size(hparams["vocab_size"])
         self.gguf_writer.add_kv_lora_rank(hparams["kv_lora_rank"])
         self.gguf_writer.add_key_length(hparams["qk_nope_head_dim"] + hparams["qk_rope_head_dim"])
@@ -4439,7 +4437,6 @@ def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iter
     def prepare_tensors(self):
         super().prepare_tensors()
 
-
 @Model.register("T5WithLMHeadModel")
 @Model.register("T5ForConditionalGeneration")
 @Model.register("MT5ForConditionalGeneration")

gguf-py/gguf/constants.py

@@ -1466,18 +1466,18 @@ class MODEL_TENSOR(IntEnum):
         MODEL_TENSOR.FFN_EXP_PROBS_B,
     ],
     MODEL_ARCH.PLM: [
-        MODEL_TENSOR.TOKEN_EMBD,        
+        MODEL_TENSOR.TOKEN_EMBD,    
         MODEL_TENSOR.OUTPUT,
-        MODEL_TENSOR.OUTPUT_NORM,  
-        MODEL_TENSOR.ATTN_NORM,         
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.ATTN_NORM,
         MODEL_TENSOR.ATTN_Q,
         MODEL_TENSOR.ATTN_KV_A_MQA,
-        MODEL_TENSOR.ATTN_KV_A_NORM,    
-        MODEL_TENSOR.ATTN_KV_B,                 
-        MODEL_TENSOR.ATTN_OUT,  
-        MODEL_TENSOR.FFN_NORM,          
-        MODEL_TENSOR.FFN_UP,              
-        MODEL_TENSOR.FFN_DOWN,            
+        MODEL_TENSOR.ATTN_KV_A_NORM,
+        MODEL_TENSOR.ATTN_KV_B,   
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.FFN_DOWN,
     ],
     MODEL_ARCH.CHATGLM : [
         MODEL_TENSOR.TOKEN_EMBD,

src/llama-model.cpp

@@ -1133,7 +1133,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
                 }
             } break;
         case LLM_ARCH_PLM:
-            {   
+            {
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 ml.get_key(LLM_KV_ATTENTION_KV_LORA_RANK, hparams.n_lora_kv);
                 switch (hparams.n_layer) {

src/llama.cpp

@@ -337,4 +337,4 @@ const char * llama_print_system_info(void) {
     }
 
     return s.c_str();
-}
+}