diff --git a/common/chat.cpp b/common/chat.cpp
index 66bbfe993..c33a3c991 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -534,7 +534,7 @@ static common_chat_msg common_chat_parse_llama_3_1(const std::string & input, bo
     return parse_json_tool_calls(input, std::nullopt, function_regex, close_regex);
 }
 
-static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs, const llama_vocab * vocab) {
+static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) {
     common_chat_params data;
     data.grammar_lazy = inputs.tool_choice != "required";
     data.grammar = build_grammar([&](const common_grammar_builder & builder) {
@@ -904,7 +904,7 @@ static common_chat_params common_chat_params_init_without_tools(const common_cha
     return data;
 }
 
-common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & inputs, const llama_vocab * vocab) {
+common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) {
     auto has_tools = !inputs.tools.is_null() && inputs.tool_choice != "none";
     LOG_DBG("[%s] has_tools=%s\n", __func__, has_tools ? "true" : "false");
 
@@ -938,7 +938,7 @@ common_chat_params common_chat_params_init(const common_chat_template & tmpl, co
         return common_chat_params_init_llama_3_1_tool_calls(tmpl, inputs, allow_python_tag_builtin_tools);
     }
     if (src.find("<｜tool▁calls▁begin｜>") != std::string::npos) {
-        return common_chat_params_init_deepseek_r1(tmpl, inputs, vocab);
+        return common_chat_params_init_deepseek_r1(tmpl, inputs);
     }
     if (src.find("[TOOL_CALLS]") != std::string::npos) {
         return common_chat_params_init_mistral_nemo(tmpl, inputs);
diff --git a/common/chat.hpp b/common/chat.hpp
index b34d4dab2..33e64a430 100644
--- a/common/chat.hpp
+++ b/common/chat.hpp
@@ -47,6 +47,6 @@ struct common_chat_params {
     std::vector<std::string>            additional_stops;
 };
 
-struct common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & params, const llama_vocab * vocab = nullptr);
+struct common_chat_params common_chat_params_init(const common_chat_template & tmpl, const struct common_chat_inputs & params);
 std::string               common_chat_format_name(common_chat_format format);
 common_chat_msg           common_chat_parse(      const std::string & input, common_chat_format format);
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index f5452b90b..5e440eb0c 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1911,9 +1911,9 @@ struct server_context {
             }});
             GGML_ASSERT(templates.template_default);
             try {
-                common_chat_params_init(*templates.template_default, inputs, vocab);
+                common_chat_params_init(*templates.template_default, inputs);
                 if (templates.template_tool_use) {
-                    common_chat_params_init(*templates.template_tool_use, inputs, vocab);
+                    common_chat_params_init(*templates.template_tool_use, inputs);
                 }
                 return true;
             } catch (const std::exception & e) {
@@ -4052,7 +4052,7 @@ int main(int argc, char ** argv) {
         }
 
         auto body = json::parse(req.body);
-        json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates, llama_model_get_vocab(ctx_server.model));
+        json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates);
 
         return handle_completions_impl(
             SERVER_TASK_TYPE_COMPLETION,
@@ -4065,7 +4065,7 @@ int main(int argc, char ** argv) {
     // same with handle_chat_completions, but without inference part
     const auto handle_apply_template = [&ctx_server, &params, &res_ok](const httplib::Request & req, httplib::Response & res) {
         auto body = json::parse(req.body);
-        json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates, llama_model_get_vocab(ctx_server.model));
+        json data = oaicompat_completion_params_parse(body, params.use_jinja, ctx_server.chat_templates);
         res_ok(res, {{ "prompt", std::move(data.at("prompt")) }});
     };
 
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index c2779d194..fefdce55b 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -582,8 +582,7 @@ static json oaicompat_completion_params_parse(const json & body) {
 static json oaicompat_completion_params_parse(
     const json & body, /* openai api json semantics */
     bool use_jinja,
-    const common_chat_templates & chat_templates,
-    const llama_vocab * vocab)
+    const common_chat_templates & chat_templates)
 {
     json llama_params;
     const auto & tmpl = body.contains("tools") && chat_templates.template_tool_use
@@ -649,7 +648,7 @@ static json oaicompat_completion_params_parse(
         inputs.stream = stream;
         // TODO: support mixing schema w/ tools beyond generic format.
         inputs.json_schema = json_value(llama_params, "json_schema", json());
-        auto chat_params = common_chat_params_init(tmpl, inputs, vocab);
+        auto chat_params = common_chat_params_init(tmpl, inputs);
 
         llama_params["chat_format"] = static_cast<int>(chat_params.format);
         llama_params["prompt"] = chat_params.prompt;