[model] add seed coder and qwen3 quant models (#8039)

src/llamafactory/data/parser.py

@@ -115,12 +115,7 @@ def get_dataset_list(dataset_names: Optional[list[str]], dataset_dir: str) -> li
     dataset_list: list[DatasetAttr] = []
     for name in dataset_names:
         if dataset_info is None:  # dataset_dir is ONLINE
-            if use_modelscope():
-                load_from = "ms_hub"
-            elif use_openmind():
-                load_from = "om_hub"
-            else:
-                load_from = "hf_hub"
+            load_from = "ms_hub" if use_modelscope() else "om_hub" if use_openmind() else "hf_hub"
             dataset_attr = DatasetAttr(load_from, dataset_name=name)
             dataset_list.append(dataset_attr)
             continue

src/llamafactory/data/template.py

@@ -1622,6 +1622,20 @@ register_template(
 )
 
 
+register_template(
+    name="seed_coder",
+    format_user=StringFormatter(
+        slots=[{"bos_token"}, "user\n{{content}}", {"eos_token"}, {"bos_token"}, "assistant\n"]
+    ),
+    format_system=StringFormatter(slots=[{"bos_token"}, "system\n{{content}}", {"eos_token"}]),
+    default_system=(
+        "You are an AI programming assistant, utilizing the Seed-Coder model, developed by ByteDance Seed, "
+        "and you only answer questions related to computer science. For politically sensitive questions, "
+        "security and privacy issues, and other non-computer science questions, you will refuse to answer.\n\n"
+    ),
+)
+
+
 # copied from llama3 template
 register_template(
     name="skywork_o1",

src/llamafactory/data/tool_utils.py

@@ -237,9 +237,7 @@ class MistralToolUtils(ToolUtils):
     def tool_formatter(tools: list[dict[str, Any]]) -> str:
         wrapped_tools = []
         for tool in tools:
-            wrapped_tools.append(
-                tool if tool.get("type") == "function" else {"type": "function", "function": tool}
-            )
+            wrapped_tools.append(tool if tool.get("type") == "function" else {"type": "function", "function": tool})
 
         return "[AVAILABLE_TOOLS] " + json.dumps(wrapped_tools, ensure_ascii=False) + "[/AVAILABLE_TOOLS]"