diff --git a/common/sampling.cpp b/common/sampling.cpp
index 37a0d9c85ae30..6919bb641629a 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -190,8 +190,9 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, co
     if (params.mirostat == 0) {
         if (params.top_n_sigma >= 0) {
             llama_sampler_chain_add(result->chain, llama_sampler_init_top_k        (params.top_k));
-            llama_sampler_chain_add(result->chain, llama_sampler_init_temp         (params.temp));
+            llama_sampler_chain_add(result->chain, llama_sampler_init_temp_ext     (params.temp, params.dynatemp_range, params.dynatemp_exponent));
             llama_sampler_chain_add(result->chain, llama_sampler_init_top_n_sigma  (params.top_n_sigma));
+            llama_sampler_chain_add(result->chain, llama_sampler_init_xtc          (params.xtc_probability, params.xtc_threshold, params.min_keep, params.seed));
         } else {
             for (const auto & cnstr : params.samplers) {
                 switch (cnstr) {
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 9ffec0a64ad94..a64fdec166a8c 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -145,6 +145,7 @@ struct slot_params {
             {"top_k",                     sampling.top_k},
             {"top_p",                     sampling.top_p},
             {"min_p",                     sampling.min_p},
+            {"top_n_sigma",               sampling.top_n_sigma},
             {"xtc_probability",           sampling.xtc_probability},
             {"xtc_threshold",             sampling.xtc_threshold},
             {"typical_p",                 sampling.typ_p},
@@ -247,6 +248,7 @@ struct server_task {
         params.sampling.top_k              = json_value(data, "top_k",              defaults.sampling.top_k);
         params.sampling.top_p              = json_value(data, "top_p",              defaults.sampling.top_p);
         params.sampling.min_p              = json_value(data, "min_p",              defaults.sampling.min_p);
+        params.sampling.top_n_sigma        = json_value(data, "top_n_sigma",        defaults.sampling.top_n_sigma);
         params.sampling.xtc_probability    = json_value(data, "xtc_probability",    defaults.sampling.xtc_probability);
         params.sampling.xtc_threshold      = json_value(data, "xtc_threshold",      defaults.sampling.xtc_threshold);
         params.sampling.typ_p              = json_value(data, "typical_p",          defaults.sampling.typ_p);