convert_hf : fix Gemma v1 not setting BOS and EOS tokens

* convert_hf : allow renaming tokens, but with a warning

convert_hf_to_gguf.py

@@ -750,7 +750,8 @@ class Model:
                     token_id = int(token_id)
                     token: str = token_data["content"]
                     if toktypes[token_id] != SentencePieceTokenTypes.UNUSED:
-                        assert tokens[token_id] == token.encode("utf-8")
+                        if tokens[token_id] != token.encode("utf-8"):
+                            logger.warning(f'replacing token {token_id}: {tokens[token_id].decode("utf-8")!r} -> {token!r}')
                     if token_data.get("special") or self.does_token_look_special(token):
                         toktypes[token_id] = SentencePieceTokenTypes.CONTROL
                     else:
@@ -1309,6 +1310,7 @@ class RefactModel(Model):
         special_vocab._set_special_token("prefix", 1)
         special_vocab._set_special_token("suffix", 3)
         special_vocab._set_special_token("middle", 2)
+        special_vocab.chat_template = None  # do not add it twice
         special_vocab.add_to_gguf(self.gguf_writer)
 
     def set_gguf_parameters(self):
@@ -2011,7 +2013,8 @@ class Phi3MiniModel(Model):
                     token_id = int(token_id)
                     token = foken_data["content"].encode("utf-8")
                     if toktypes[token_id] != SentencePieceTokenTypes.UNUSED:
-                        assert tokens[token_id] == token
+                        if tokens[token_id] != token:
+                            logger.warning(f'replacing token {token_id}: {tokens[token_id].decode("utf-8")!r} -> {token.decode("utf-8")!r}')
                     tokens[token_id] = token
                     scores[token_id] = -1000.0
                     toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
@@ -2027,7 +2030,8 @@ class Phi3MiniModel(Model):
                     token_id = int(foken_data["id"])
                     token = foken_data["content"].encode("utf-8")
                     if toktypes[token_id] != SentencePieceTokenTypes.UNUSED:
-                        assert tokens[token_id] == token
+                        if tokens[token_id] != token:
+                            logger.warning(f'replacing token {token_id}: {tokens[token_id].decode("utf-8")!r} -> {token.decode("utf-8")!r}')
                     tokens[token_id] = token
                     scores[token_id] = -1000.0
                     toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
@@ -2266,7 +2270,8 @@ class InternLM2Model(Model):
                         chat_eos_token_id = token_id
                     token = token.encode("utf-8")
                     if toktypes[token_id] != SentencePieceTokenTypes.UNUSED:
-                        assert(tokens[token_id] == token)
+                        if tokens[token_id] != token:
+                            logger.warning(f'replacing token {token_id}: {tokens[token_id].decode("utf-8")!r} -> {token.decode("utf-8")!r}')
                     tokens[token_id] = token
                     scores[token_id] = -1000.0
                     toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
@@ -2285,7 +2290,8 @@ class InternLM2Model(Model):
                         chat_eos_token_id = token_id
                     token = token.encode("utf-8")
                     if toktypes[token_id] != SentencePieceTokenTypes.UNUSED:
-                        assert(tokens[token_id] == token)
+                        if tokens[token_id] != token:
+                            logger.warning(f'replacing token {token_id}: {tokens[token_id].decode("utf-8")!r} -> {token.decode("utf-8")!r}')
                     tokens[token_id] = token
                     scores[token_id] = -1000.0
                     toktypes[token_id] = SentencePieceTokenTypes.USER_DEFINED
@@ -2471,6 +2477,7 @@ class GemmaModel(Model):
         special_vocab._set_special_token("middle", 68)
         special_vocab._set_special_token("fsep",   70)
         special_vocab._set_special_token("eot",    107)
+        special_vocab.chat_template = None  # do not add it twice
         special_vocab.add_to_gguf(self.gguf_writer)
 
         self.gguf_writer.add_add_space_prefix(False)