convert : fix pre-tokenizer type writing

convert-hf-to-gguf.py

@@ -408,6 +408,8 @@ class Model(ABC):
         if res is None:
             raise NotImplementedError(f"BPE pre-tokenizer was not recognized - update get_vocab_base_pre()")
 
+        return res
+
     def _set_vocab_gpt2(self) -> None:
         tokens, toktypes, tokpre = self.get_vocab_base()
         self.gguf_writer.add_tokenizer_model("gpt2")

llama.cpp

@@ -4290,7 +4290,7 @@ static void llm_load_vocab(
         }
 
         if (tokenizer_pre.empty()) {
-            LLAMA_LOG_WARN("%s: missing tokenizer pre, using default tokenizer pre: 'default'", __func__);
+            LLAMA_LOG_WARN("%s: missing tokenizer pre, using default tokenizer pre: 'default'\n", __func__);
             vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
         } else if (tokenizer_pre == "default") {
             vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;