diff --git a/tools/lcpp.patch b/tools/lcpp.patch
index 86dd622..49e5971 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..5d191f92 100644
+index 24e1f1f0..19fdc5df 100644
 --- a/src/llama.cpp
 +++ b/src/llama.cpp
 @@ -205,6 +205,18 @@ enum llm_arch {
@@ -126,7 +126,7 @@ index 24e1f1f0..5d191f92 100644
      // get hparams kv
      ml.get_key(LLM_KV_VOCAB_SIZE, hparams.n_vocab, false) || ml.get_arr_n(LLM_KV_TOKENIZER_LIST, hparams.n_vocab);
  
-@@ -18016,6 +18072,137 @@ static void llama_tensor_dequantize_internal(
+@@ -18016,6 +18072,158 @@ static void llama_tensor_dequantize_internal(
      workers.clear();
  }
  
@@ -231,6 +231,27 @@ index 24e1f1f0..5d191f92 100644
 +            ++qs.i_ffn_down;
 +    }
 +
++    // first/last block high precision test
++    if (arch == LLM_ARCH_QWEN_IMAGE){
++        if (
++            (name.find("transformer_blocks.0.") != std::string::npos) ||
++            (name.find("transformer_blocks.59.") != std::string::npos) // this should be dynamic
++        ) {
++            if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q2_K) {
++                new_type = GGML_TYPE_Q4_K;
++            }
++            else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_L) {
++                new_type = GGML_TYPE_Q4_K;
++            }
++            else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M) {
++                new_type = GGML_TYPE_Q5_K;
++            }
++            else if (ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) {
++                new_type = GGML_TYPE_Q6_K;
++            }
++        }
++    }
++
 +    // Sanity check for row shape
 +    bool convert_incompatible_tensor = false;
 +    if (new_type == GGML_TYPE_Q2_K    || new_type == GGML_TYPE_Q3_K    || new_type == GGML_TYPE_Q4_K   ||
@@ -264,7 +285,7 @@ index 24e1f1f0..5d191f92 100644
  static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type new_type, const ggml_tensor * tensor, llama_ftype ftype) {
      const std::string name = ggml_get_name(tensor);
  
-@@ -18513,7 +18700,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18513,7 +18721,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
          if (llama_model_has_encoder(&model)) {
              n_attn_layer *= 3;
          }
@@ -275,7 +296,7 @@ index 24e1f1f0..5d191f92 100644
      }
  
      size_t total_size_org = 0;
-@@ -18547,6 +18736,51 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18547,6 +18757,51 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
              ctx_outs[i_split] = gguf_init_empty();
          }
          gguf_add_tensor(ctx_outs[i_split], tensor);
@@ -327,7 +348,7 @@ index 24e1f1f0..5d191f92 100644
      }
  
      // Set split info if needed
-@@ -18647,6 +18881,118 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18647,6 +18902,118 @@ 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;
  
@@ -446,7 +467,7 @@ index 24e1f1f0..5d191f92 100644
          enum ggml_type new_type;
          void * new_data;
          size_t new_size;
-@@ -18655,6 +19001,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18655,6 +19022,9 @@ 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.
@@ -456,7 +477,7 @@ index 24e1f1f0..5d191f92 100644
              if (!params->pure && ggml_is_quantized(default_type)) {
                  new_type = llama_tensor_get_type(qs, new_type, tensor, ftype);
              }
-@@ -18664,6 +19013,7 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
+@@ -18664,6 +19034,7 @@ 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;
              }