diff --git a/tools/lcpp.patch b/tools/lcpp.patch
index 0ad92d1..9c522ce 100644
--- a/tools/lcpp.patch
+++ b/tools/lcpp.patch
@@ -39,7 +39,7 @@ index b16c462f..6d1568f1 100644
      const int idx = gguf_find_tensor(ctx, name);
      if (idx < 0) {
 diff --git a/src/llama.cpp b/src/llama.cpp
-index 24e1f1f0..f90738cf 100644
+index 24e1f1f0..d3ca4756 100644
 --- a/src/llama.cpp
 +++ b/src/llama.cpp
 @@ -205,6 +205,14 @@ enum llm_arch {
@@ -296,7 +296,7 @@ index 24e1f1f0..f90738cf 100644
      }
  
      // Set split info if needed
-@@ -18647,6 +18850,82 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18647,6 +18850,83 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
          // do not quantize relative position bias (T5)
          quantize &= name.find("attn_rel_b.weight") == std::string::npos;
  
@@ -369,6 +369,7 @@ index 24e1f1f0..f90738cf 100644
 +            quantize &= name.find("text_embedding.") == std::string::npos;
 +            quantize &= name.find("time_projection.") == std::string::npos;
 +            quantize &= name.find("time_embedding.") == std::string::npos;
++            quantize &= name.find("img_emb.") == std::string::npos;
 +            quantize &= name.find("head.") == std::string::npos;
 +        }
 +        // ignore 3D/4D tensors for image models as the code was never meant to handle these
@@ -379,7 +380,7 @@ index 24e1f1f0..f90738cf 100644
          enum ggml_type new_type;
          void * new_data;
          size_t new_size;
-@@ -18655,6 +18934,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18655,6 +18935,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
              new_type = default_type;
  
              // get more optimal quantization type based on the tensor shape, layer, etc.
@@ -389,7 +390,7 @@ index 24e1f1f0..f90738cf 100644
              if (!params->pure && ggml_is_quantized(default_type)) {
                  new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
              }
-@@ -18664,6 +18946,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18664,6 +18947,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
              if (params->output_tensor_type < GGML_TYPE_COUNT && strcmp(tensor->name, "output.weight") == 0) {
                  new_type = params->output_tensor_type;
              }