diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp
index b40fc928c..be0b2fe1e 100644
--- a/examples/quantize/quantize.cpp
+++ b/examples/quantize/quantize.cpp
@@ -68,13 +68,14 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
 }
 
 // usage:
-//  ./quantize [--allow-requantize] [--leave-output-tensor] models/llama/ggml-model.gguf [models/llama/ggml-model-quant.gguf] type [nthreads]
+//  ./quantize [--allow-requantize] [--leave-output-tensor] [--pure] models/llama/ggml-model.gguf [models/llama/ggml-model-quant.gguf] type [nthreads]
 //
 [[noreturn]]
 static void usage(const char * executable) {
-    printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] model-f32.gguf [model-quant.gguf] type [nthreads]\n\n", executable);
+    printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] [--pure] model-f32.gguf [model-quant.gguf] type [nthreads]\n\n", executable);
     printf("  --allow-requantize: Allows requantizing tensors that have already been quantized. Warning: This can severely reduce quality compared to quantizing from 16bit or 32bit\n");
     printf("  --leave-output-tensor: Will leave output.weight un(re)quantized. Increases model size but may also increase quality, especially when requantizing\n");
+    printf("  --pure: Disable k-quant mixtures and quantize all tensors to the same type\n");
     printf("\nAllowed quantization types:\n");
     for (auto & it : QUANT_OPTIONS) {
         if (it.name != "COPY") {
@@ -101,6 +102,8 @@ int main(int argc, char ** argv) {
             params.quantize_output_tensor = false;
         } else if (strcmp(argv[arg_idx], "--allow-requantize") == 0) {
             params.allow_requantize = true;
+        } else if (strcmp(argv[arg_idx], "--pure") == 0) {
+            params.pure = true;
         } else {
             usage(argv[0]);
         }
diff --git a/llama.cpp b/llama.cpp
index f03e52d77..1d1db8fc9 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -8380,7 +8380,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
 
         if (quantize) {
             new_type = quantized_type;
-            new_type = get_k_quant_type(qs, new_type, tensor, ftype);
+            if (!params->pure) {
+                new_type = get_k_quant_type(qs, new_type, tensor, ftype);
+            }
 
             // If we've decided to quantize to the same type the tensor is already
             // in then there's nothing to do.
@@ -8835,6 +8837,7 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
         /*.allow_requantize            =*/ false,
         /*.quantize_output_tensor      =*/ true,
         /*.only_copy                   =*/ false,
+        /*.pure                        =*/ false,
     };
 
     return result;
diff --git a/llama.h b/llama.h
index d901dcd91..6927bd601 100644
--- a/llama.h
+++ b/llama.h
@@ -191,6 +191,7 @@ extern "C" {
         bool allow_requantize;       // allow quantizing non-f32/f16 tensors
         bool quantize_output_tensor; // quantize output.weight
         bool only_copy;              // only copy tensors - ftype, allow_requantize and quantize_output_tensor are ignored
+        bool pure;                   // disable k-quant mixtures and quantize all tensors to the same type
     } llama_model_quantize_params;
 
     // grammar types