diff --git a/llama-cpp-2/src/context/sample.rs b/llama-cpp-2/src/context/sample.rs
index a147caf9..2e4a3f06 100644
--- a/llama-cpp-2/src/context/sample.rs
+++ b/llama-cpp-2/src/context/sample.rs
@@ -184,6 +184,61 @@ impl LlamaContext<'_> {
         LlamaToken(token)
     }
 
+    /// Tail Free Sampling described in https://www.trentonbricken.com/Tail-Free-Sampling/.
+    pub fn sample_tail_free(&self, token_data: &mut LlamaTokenDataArray, z: f32, min_keep: usize) {
+        let ctx = self.context.as_ptr();
+        unsafe {
+            token_data.modify_as_c_llama_token_data_array(|c_llama_token_data_array| {
+                llama_cpp_sys_2::llama_sample_tail_free(ctx, c_llama_token_data_array, z, min_keep);
+            });
+        }
+    }
+
+    /// Locally Typical Sampling implementation described in the paper https://arxiv.org/abs/2202.00666.
+    pub fn sample_typical(&self, token_data: &mut LlamaTokenDataArray, p: f32, min_keep: usize) {
+        let ctx = self.context.as_ptr();
+        unsafe {
+            token_data.modify_as_c_llama_token_data_array(|c_llama_token_data_array| {
+                llama_cpp_sys_2::llama_sample_typical(ctx, c_llama_token_data_array, p, min_keep);
+            });
+        }
+    }
+
+    /// Nucleus sampling described in academic paper \"The Curious Case of Neural Text Degeneration\" https://arxiv.org/abs/1904.09751"
+    pub fn sample_top_p(&self, token_data: &mut LlamaTokenDataArray, p: f32, min_keep: usize) {
+        let ctx = self.context.as_ptr();
+        unsafe {
+            token_data.modify_as_c_llama_token_data_array(|c_llama_token_data_array| {
+                llama_cpp_sys_2::llama_sample_top_p(ctx, c_llama_token_data_array, p, min_keep);
+            });
+        }
+    }
+
+    /// Minimum P sampling as described in https://github.com/ggerganov/llama.cpp/pull/3841"
+    pub fn sample_min_p(
+        &self,
+        llama_token_data: &mut LlamaTokenDataArray,
+        p: f32,
+        min_keep: usize,
+    ) {
+        let ctx = self.context.as_ptr();
+        unsafe {
+            llama_token_data.modify_as_c_llama_token_data_array(|c_llama_token_data_array| {
+                llama_cpp_sys_2::llama_sample_min_p(ctx, c_llama_token_data_array, p, min_keep);
+            });
+        }
+    }
+
+    /// Top-K sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751
+    pub fn sample_top_k(&self, token_data: &mut LlamaTokenDataArray, k: i32, min_keep: usize) {
+        let ctx = self.context.as_ptr();
+        unsafe {
+            token_data.modify_as_c_llama_token_data_array(|c_llama_token_data_array| {
+                llama_cpp_sys_2::llama_sample_top_k(ctx, c_llama_token_data_array, k, min_keep);
+            });
+        }
+    }
+
     /// Sorts candidate tokens by their logits in descending order and calculate probabilities based on logits.
     pub fn sample_token_softmax(&self, token_data: &mut LlamaTokenDataArray) {
         let ctx = self.context.as_ptr();