diff --git a/include/llama.h b/include/llama.h
index 1f5b2e8a2b..50e61d4976 100644
--- a/include/llama.h
+++ b/include/llama.h
@@ -369,7 +369,7 @@ extern "C" {
         float target_bpw;                     // target bits per weight (bpw)
         bool keep_bpw_state;                  // keep bpw state file
         void * bpw_state;                     // pointer to bpw state file
-        bool disable_tensor_importance;       // treat all tensors equally during quantization
+        bool no_importance;                   // allocate target bpw budget equitably across all tensors
     } llama_model_quantize_params;
 
     typedef struct llama_logit_bias {
diff --git a/src/llama-quant.cpp b/src/llama-quant.cpp
index 2b9aba091b..c468a3e4fc 100644
--- a/src/llama-quant.cpp
+++ b/src/llama-quant.cpp
@@ -1571,7 +1571,7 @@ static std::unordered_map<std::string, ggml_type> target_bpw_type(
     // Certain tensors have a higher impact on model quality, so we apply a lower penalty to them
     auto is_important = [&](const std::string & tensor_name) -> bool {
         bool important = tensor_name == "output.weight";
-        if (!important && !params->disable_tensor_importance) {
+        if (!important && !params->no_importance) {
             important = tensor_name.find(".attn_v.weight") != std::string::npos ||
                         tensor_name.find(".time_mix_value.weight") != std::string::npos ||
                         tensor_name.find(".ffn_down.weight") != std::string::npos ||
@@ -2009,10 +2009,10 @@ static void llama_model_quantize_impl(const std::string & fname_inp, const std::
             } else {
                 LLAMA_LOG_INFO("%s: imatrix does not have activations, process may be less accurate\n", __func__);
             }
-            if (params->disable_tensor_importance) {
-                LLAMA_LOG_INFO("%s: allocating bpw budget to tensors equally\n", __func__);
+            if (params->no_importance) {
+                LLAMA_LOG_INFO("%s: distributing bpw budget equitably across all tensors\n", __func__);
             } else {
-                LLAMA_LOG_INFO("%s: allocating more bpw budget to important tensors\n", __func__);
+                LLAMA_LOG_INFO("%s: assigning more bpw budget to important tensors\n", __func__);
             }
             LLAMA_LOG_INFO("%s: computing tensor quantization mix to achieve %.4f bpw\n", __func__, params->target_bpw);
 
@@ -2281,7 +2281,7 @@ llama_model_quantize_params llama_model_quantize_default_params() {
         /*.target_bpw                  =*/ -1.0f,
         /*.keep_bpw_state              =*/ false,
         /*.bpw_state                   =*/ nullptr,
-        /*.disable_tensor_importance   =*/ false
+        /*.no_importance               =*/ false
     };
 
     return result;
diff --git a/tools/quantize/quantize.cpp b/tools/quantize/quantize.cpp
index 4fee8c91a1..dd4b860e1b 100644
--- a/tools/quantize/quantize.cpp
+++ b/tools/quantize/quantize.cpp
@@ -117,9 +117,9 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
 
 [[noreturn]]
 static void usage(const char * executable) {
-    printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] [--pure] [--imatrix] [--include-weights] [--exclude-weights] [--target-bpw n]\n", executable);
-    printf("       [--keep-bpw-state] [--bpw-state filename] [--output-tensor-type] [--token-embedding-type] [--tensor-type] [--prune-layers] [--keep-split] [--override-kv]\n");
-    printf("       model-f32.gguf [model-quant.gguf] type [nthreads]\n\n");
+    printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] [--pure] [--imatrix] [--include-weights] [--exclude-weights]\n", executable);
+    printf("        [--target-bpw n] [--no-importance] [--keep-bpw-state] [--bpw-state filename] [--output-tensor-type] [--token-embedding-type] [--tensor-type]\n");
+    printf("        [--prune-layers] [--keep-split] [--override-kv] model-f32.gguf [model-quant.gguf] type [nthreads]\n\n");
     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");
@@ -134,8 +134,8 @@ static void usage(const char * executable) {
     printf("      Advanced option to remove all tensors from the given layers\n");
     printf("  --target-bpw: target bits per weight (bpw). Must be a positive number between 0.0 and 8.0\n");
     printf("      Advanced option to automatically select quantization types to achieve a total bits per weight (bpw) target\n");
-    printf("  --disable-tensor-importance: treat all tensors equally during bpw quantization\n");
-    printf("      Advanced option to disable allocating more bpw budget to important tensors. It may increase quality for some models\n");
+    printf("  --no-importance: distribute bpw budget equitably across all tensors\n");
+    printf("      Advanced option to disable assigning more bpw budget to important tensors. It may increase quality for some models\n");
     printf("  --keep-bpw-state: save the bpw computations to <architecture>-<model hash>.bpw_state\n");
     printf("  --bpw-state: file name to use instead of default\n");
     printf("  --keep-split: will generate quantized model in the same shards as input\n");
@@ -562,8 +562,8 @@ int main(int argc, char ** argv) {
             if (arg_idx == argc-1 || !parse_target_bpw(argv[++arg_idx], target_bpw)) {
                 usage(argv[0]);
             }
-        } else if (strcmp(argv[arg_idx], "--disable-tensor-importance") == 0) {
-            params.disable_tensor_importance = true;
+        } else if (strcmp(argv[arg_idx], "--no-importance") == 0) {
+            params.no_importance = true;
         } else if (strcmp(argv[arg_idx], "--keep-bpw-state") == 0) {
             params.keep_bpw_state = true;
         } else if (strcmp(argv[arg_idx], "--bpw-state") == 0) {