diff --git a/lib/binding.ts b/lib/binding.ts
index 274658a..b8a4459 100644
--- a/lib/binding.ts
+++ b/lib/binding.ts
@@ -15,6 +15,25 @@ export type LlamaModelOptions = {
   n_ubatch?: number
   n_threads?: number
   n_gpu_layers?: number
+  flash_attn?: boolean
+  cache_type_k?:
+    | 'f16'
+    | 'f32'
+    | 'q8_0'
+    | 'q4_0'
+    | 'q4_1'
+    | 'iq4_nl'
+    | 'q5_0'
+    | 'q5_1'
+  cache_type_v?:
+    | 'f16'
+    | 'f32'
+    | 'q8_0'
+    | 'q4_0'
+    | 'q4_1'
+    | 'iq4_nl'
+    | 'q5_0'
+    | 'q5_1'
   use_mlock?: boolean
   use_mmap?: boolean
   vocab_only?: boolean
diff --git a/src/LlamaContext.cpp b/src/LlamaContext.cpp
index a86efaa..0bf511a 100644
--- a/src/LlamaContext.cpp
+++ b/src/LlamaContext.cpp
@@ -1,3 +1,4 @@
+#include "ggml.h"
 #include "LlamaContext.h"
 #include "DetokenizeWorker.h"
 #include "DisposeWorker.h"
@@ -60,6 +61,27 @@ void LlamaContext::Init(Napi::Env env, Napi::Object &exports) {
   exports.Set("LlamaContext", func);
 }
 
+const std::vector<ggml_type> kv_cache_types = {
+  GGML_TYPE_F32,
+  GGML_TYPE_F16,
+  GGML_TYPE_BF16,
+  GGML_TYPE_Q8_0,
+  GGML_TYPE_Q4_0,
+  GGML_TYPE_Q4_1,
+  GGML_TYPE_IQ4_NL,
+  GGML_TYPE_Q5_0,
+  GGML_TYPE_Q5_1,
+};
+
+static ggml_type kv_cache_type_from_str(const std::string & s) {
+  for (const auto & type : kv_cache_types) {
+    if (ggml_type_name(type) == s) {
+      return type;
+    }
+  }
+  throw std::runtime_error("Unsupported cache type: " + s);
+}
+
 // construct({ model, embedding, n_ctx, n_batch, n_threads, n_gpu_layers,
 // use_mlock, use_mmap }): LlamaContext throws error
 LlamaContext::LlamaContext(const Napi::CallbackInfo &info)
@@ -96,6 +118,10 @@ LlamaContext::LlamaContext(const Napi::CallbackInfo &info)
   params.cpuparams.n_threads =
       get_option<int32_t>(options, "n_threads", cpu_get_num_math() / 2);
   params.n_gpu_layers = get_option<int32_t>(options, "n_gpu_layers", -1);
+  params.flash_attn = get_option<bool>(options, "flash_attn", false);
+  params.cache_type_k = kv_cache_type_from_str(get_option<std::string>(options, "cache_type_k", "f16").c_str());
+  params.cache_type_v = kv_cache_type_from_str(get_option<std::string>(options, "cache_type_v", "f16").c_str());
+
   params.use_mlock = get_option<bool>(options, "use_mlock", false);
   params.use_mmap = get_option<bool>(options, "use_mmap", true);
   params.numa =