diff --git a/common/common.cpp b/common/common.cpp
index 8f2dfd8215..8e7cbfe1da 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -950,26 +950,14 @@ std::vector<common_file_info> fs_list_files(const std::string & path) {
 // Model utils
 //
 
-llama_model * common_load_model_from_params(common_params & params) {
+struct common_init_result common_init_from_params(common_params & params) {
+    common_init_result iparams;
     auto mparams = common_model_params_to_llama(params);
 
     llama_model * model = llama_model_load_from_file(params.model.path.c_str(), mparams);
     if (model == NULL) {
         LOG_ERR("%s: failed to load model '%s', try reducing --n-gpu-layers if you're running out of VRAM\n",
             __func__, params.model.path.c_str());
-        return nullptr;
-    }
-
-    return model;
-}
-
-struct common_init_result common_init_context_from_model(
-    llama_model * model,
-    common_params & params) {
-    common_init_result iparams;
-
-    if (model == NULL) {
-        LOG_ERR("%s: model is NULL\n", __func__);
         return iparams;
     }
 
@@ -977,6 +965,16 @@ struct common_init_result common_init_context_from_model(
 
     auto cparams = common_context_params_to_llama(params);
 
+    // backend sampling initialization
+    if (params.sampling.backend_sampling) {
+        iparams.samplers_seq_config.resize(cparams.n_seq_max);
+        for (int i = 0; i < (int) cparams.n_seq_max; ++i) {
+            iparams.samplers_seq_config[i] = { i, common_sampler_backend_init(model, params.sampling) };
+        }
+        cparams.samplers   = iparams.samplers_seq_config.data();
+        cparams.n_samplers = cparams.n_seq_max;
+    }
+
     llama_context * lctx = llama_init_from_model(model, cparams);
     if (lctx == NULL) {
         LOG_ERR("%s: failed to create context with model '%s', try reducing --n-gpu-layers if you're running out of VRAM\n",
@@ -1142,14 +1140,6 @@ struct common_init_result common_init_context_from_model(
     return iparams;
 }
 
-struct common_init_result common_init_from_params(common_params & params) {
-    llama_model * model = common_load_model_from_params(params);
-    if (model == NULL) {
-        return common_init_result();
-    }
-    return common_init_context_from_model(model, params);
-}
-
 std::string get_model_endpoint() {
     const char * model_endpoint_env = getenv("MODEL_ENDPOINT");
     // We still respect the use of environment-variable "HF_ENDPOINT" for backward-compatibility.
@@ -1245,9 +1235,6 @@ struct llama_context_params common_context_params_to_llama(const common_params &
     cparams.type_k = params.cache_type_k;
     cparams.type_v = params.cache_type_v;
 
-    cparams.samplers   = params.backend_samplers;
-    cparams.n_samplers = params.n_backend_samplers;
-
     return cparams;
 }
 
diff --git a/common/common.h b/common/common.h
index 01e6dfe59b..8c04715709 100644
--- a/common/common.h
+++ b/common/common.h
@@ -523,9 +523,6 @@ struct common_params {
     bool has_speculative() const {
         return !speculative.model.path.empty() || !speculative.model.hf_repo.empty();
     }
-
-    llama_sampler_seq_config * backend_samplers   = NULL;
-    size_t                     n_backend_samplers = 0;
 };
 
 // call once at the start of a program if it uses libcommon
@@ -643,18 +640,13 @@ struct common_init_result {
     llama_context_ptr context;
 
     std::vector<llama_adapter_lora_ptr> lora;
+
+    std::vector<llama_sampler_ptr> samplers;
+    std::vector<llama_sampler_seq_config> samplers_seq_config;
 };
 
 struct common_init_result     common_init_from_params(common_params & params);
 
-// Load model only (allows creating backend samplers before context initialization)
-llama_model * common_load_model_from_params(common_params & params);
-
-// Initialize context from an already-loaded model (allows pre-configuring backend samplers)
-struct common_init_result common_init_context_from_model(
-    llama_model * model,
-    common_params & params);
-
 struct llama_model_params     common_model_params_to_llama  (      common_params & params);
 struct llama_context_params   common_context_params_to_llama(const common_params & params);
 struct ggml_threadpool_params ggml_threadpool_params_from_cpu_params(const cpu_params & params);
diff --git a/tools/main/main.cpp b/tools/main/main.cpp
index cae778e551..263387f417 100644
--- a/tools/main/main.cpp
+++ b/tools/main/main.cpp
@@ -138,22 +138,7 @@ int main(int argc, char ** argv) {
     // load the model and apply lora adapter, if any
     LOG_INF("%s: load the model and apply lora adapter, if any\n", __func__);
 
-    model = common_load_model_from_params(params);
-    if (model == NULL) {
-        LOG_ERR("%s: error: unable to load model\n", __func__);
-        return 1;
-    }
-
-    // Configure backend sampler if configured
-    llama_sampler * backend_sampler = common_sampler_backend_init(model, sparams);
-    llama_sampler_seq_config sampler_config = { 0, backend_sampler };
-
-    if (backend_sampler) {
-        params.backend_samplers = &sampler_config;
-        params.n_backend_samplers = 1;
-    }
-
-    common_init_result llama_init = common_init_context_from_model(model, params);
+    common_init_result llama_init = common_init_from_params(params);
     ctx = llama_init.context.get();
     model = llama_init.model.get(); // Update pointer (now managed by llama_init)