fix: Remove trailing \n from llama3 <|eot_id|>

There's inconsistency in the documentation on whether or not there should
be a \n after <|eot_id|>, but this maintains consistency with previous
formatting

Branch: GraniteCodeSupport

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

tests/test_chat_formatters.py

@@ -139,44 +139,33 @@ def test_llama2_chat_formatter(messages, expected):
         # single user message (no system prompt)
         (MSGS_NO_SYS, f"""<|begin_of_text|><|start_header_id|>user<|end_header_id|>
 
-{USER1}<|eot_id|>
-"""),
+{USER1}<|eot_id|>"""),
         # sys, usr
         (MSGS_SYS_USR, f"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
-{SYSTEM_PROMPT}<|eot_id|>
-<|start_header_id|>user<|end_header_id|>
+{SYSTEM_PROMPT}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
-{USER1}<|eot_id|>
-"""),
+{USER1}<|eot_id|>"""),
         # sys, usr, asst
         (MSGS_SYS_USR_ASST, f"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
-{SYSTEM_PROMPT}<|eot_id|>
-<|start_header_id|>user<|end_header_id|>
+{SYSTEM_PROMPT}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
-{USER1}<|eot_id|>
-<|start_header_id|>assistant<|end_header_id|>
+{USER1}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 
-{ASSISTANT1}<|eot_id|>
-"""),
+{ASSISTANT1}<|eot_id|>"""),
         # sys, usr, asst, usr, asst
         (MSGS_MULTI_TURN, f"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
 
-{SYSTEM_PROMPT}<|eot_id|>
-<|start_header_id|>user<|end_header_id|>
+{SYSTEM_PROMPT}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
-{USER1}<|eot_id|>
-<|start_header_id|>assistant<|end_header_id|>
+{USER1}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 
-{ASSISTANT1}<|eot_id|>
-<|start_header_id|>user<|end_header_id|>
+{ASSISTANT1}<|eot_id|><|start_header_id|>user<|end_header_id|>
 
-{USER2}<|eot_id|>
-<|start_header_id|>assistant<|end_header_id|>
+{USER2}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
 
-{ASSISTANT2}<|eot_id|>
-"""),
+{ASSISTANT2}<|eot_id|>"""),
     ]
 )
 @pytest.mark.parametrize("add_generation_prompt", [True, False])

torchchat/generate.py

@@ -121,7 +121,7 @@ def _encode_message(self, message: _ChatFormatter.MESSAGE_TYPE) -> List[int]:
                         self.tokenizer.encode(content["text"], bos=False, eos=False)
                     )
 
-        tokens.append(self.tokenizer.special_tokens["<|eot_id|>\n"])
+        tokens.append(self.tokenizer.special_tokens["<|eot_id|>"])
         return tokens
 
     def encode_dialog_prompt(