diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index c7c06ceecd..884ce68de5 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -1077,7 +1077,7 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.V_MM_GATE:                 "mm.gate",
     MODEL_TENSOR.V_TOK_BOI:                 "v.boi",
     MODEL_TENSOR.V_TOK_EOI:                 "v.eoi",
-    # DeepSeek-OCR sam_model
+    # DeepSeek-OCR SAM
     MODEL_TENSOR.V_SAM_POS_EMBD:            "v.sam.pos_embd",
     MODEL_TENSOR.V_SAM_PATCH_EMBD:          "v.sam.patch_embd",
     MODEL_TENSOR.V_SAM_PRE_NORM:            "v.sam.blk.{bid}.pre_ln",
@@ -1091,8 +1091,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.V_SAM_NECK:                "v.sam.neck.{bid}",
     MODEL_TENSOR.V_SAM_NET_2:               "v.sam.net_2",
     MODEL_TENSOR.V_SAM_NET_3:               "v.sam.net_3",
-    MODEL_TENSOR.V_ENC_EMBD_IMGNL:          "model.image_newline", # Deepseek-OCR
-    MODEL_TENSOR.V_ENC_EMBD_VSEP:           "model.view_seperator", # Deepseek-OCR
+    MODEL_TENSOR.V_ENC_EMBD_IMGNL:          "v.image_newline", # Deepseek-OCR
+    MODEL_TENSOR.V_ENC_EMBD_VSEP:           "v.view_seperator", # Deepseek-OCR
     # audio (mtmd)
     MODEL_TENSOR.A_ENC_EMBD_POS:            "a.position_embd",
     MODEL_TENSOR.A_ENC_CONV1D:              "a.conv1d.{bid}",
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 6c339cd7f2..283d7c59ca 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from typing import Sequence
+
 from .constants import MODEL_ARCH, MODEL_TENSOR, MODEL_TENSORS, TENSOR_NAMES
 
 
diff --git a/tools/mtmd/clip-impl.h b/tools/mtmd/clip-impl.h
index a486ee1384..3e9b5639ba 100644
--- a/tools/mtmd/clip-impl.h
+++ b/tools/mtmd/clip-impl.h
@@ -86,8 +86,8 @@
 #define TN_MVLM_PROJ_MLP   "mm.model.mlp.%d.%s"
 #define TN_MVLM_PROJ_BLOCK "mm.model.mb_block.%d.block.%d.%s"
 #define TN_MVLM_PROJ_PEG   "mm.model.peg.%d.%s"
-#define TN_IMAGE_NEWLINE   "model.image_newline"
-#define TN_IMAGE_SEPERATOR "model.view_seperator"
+#define TN_IMAGE_NEWLINE   "v.image_newline"
+#define TN_IMAGE_SEPERATOR "v.view_seperator"
 #define TN_MM_INP_NORM     "mm.input_norm.weight"
 #define TN_MM_INP_NORM_B   "mm.input_norm.bias"
 #define TN_MM_INP_PROJ     "mm.input_projection.weight" // gemma3
@@ -443,7 +443,6 @@ static std::string gguf_kv_to_str(const struct gguf_context * ctx_gguf, int i) {
 // debugging
 //
 
-
 static std::string to_ne_string(const ggml_tensor * t) {
     std::string str;
     for (int i = 0; i < GGML_MAX_DIMS; ++i) {
diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp
index 2e77cc8e97..5bb85a89f1 100644
--- a/tools/mtmd/clip.cpp
+++ b/tools/mtmd/clip.cpp
@@ -3706,22 +3706,19 @@ struct clip_model_loader {
                         layer.ff_down_w = get_tensor(string_format(TN_SAM_FFN_DOWN, il, "weight"));
                         layer.ff_down_b = get_tensor(string_format(TN_SAM_FFN_DOWN, il, "bias"));
                     }
-                    model.neck_0_w = get_tensor(string_format(TN_SAM_NECK, 0, "weight"));
-                    model.neck_1_b = get_tensor(string_format(TN_SAM_NECK, 1, "bias"));
-                    model.neck_1_w = get_tensor(string_format(TN_SAM_NECK, 1, "weight"));
-                    model.neck_2_w = get_tensor(string_format(TN_SAM_NECK, 2, "weight"));
-                    model.neck_3_b = get_tensor(string_format(TN_SAM_NECK, 3, "bias"));
-                    model.neck_3_w = get_tensor(string_format(TN_SAM_NECK, 3, "weight"));
-                    model.net_2    = get_tensor(string_format(TN_SAM_NET, 2, "weight"));
-                    model.net_3    = get_tensor(string_format(TN_SAM_NET, 3, "weight"));
-                }
-                model.image_newline = get_tensor(TN_IMAGE_NEWLINE, false);
-                model.view_seperator = get_tensor(TN_IMAGE_SEPERATOR, false);
-                model.fc_w = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
-                model.fc_b = get_tensor(string_format(TN_MM_PROJECTOR, "bias"));
-
-
-                break;
+                    model.neck_0_w       = get_tensor(string_format(TN_SAM_NECK, 0, "weight"));
+                    model.neck_1_b       = get_tensor(string_format(TN_SAM_NECK, 1, "bias"));
+                    model.neck_1_w       = get_tensor(string_format(TN_SAM_NECK, 1, "weight"));
+                    model.neck_2_w       = get_tensor(string_format(TN_SAM_NECK, 2, "weight"));
+                    model.neck_3_b       = get_tensor(string_format(TN_SAM_NECK, 3, "bias"));
+                    model.neck_3_w       = get_tensor(string_format(TN_SAM_NECK, 3, "weight"));
+                    model.net_2          = get_tensor(string_format(TN_SAM_NET, 2, "weight"));
+                    model.net_3          = get_tensor(string_format(TN_SAM_NET, 3, "weight"));
+                    model.image_newline  = get_tensor(TN_IMAGE_NEWLINE);
+                    model.view_seperator = get_tensor(TN_IMAGE_SEPERATOR);
+                    model.fc_w           = get_tensor(string_format(TN_MM_PROJECTOR, "weight"));
+                    model.fc_b           = get_tensor(string_format(TN_MM_PROJECTOR, "bias"));
+                } break;
             default:
                 GGML_ASSERT(false && "unknown projector type");
         }
@@ -5843,11 +5840,9 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
         case PROJECTOR_TYPE_VOXTRAL:
         case PROJECTOR_TYPE_JANUS_PRO:
         case PROJECTOR_TYPE_COGVLM:
-            {
-                // do nothing
-            } break;
         case PROJECTOR_TYPE_DEEPSEEKOCR:
             {
+                // do nothing
             } break;
         case PROJECTOR_TYPE_LLAMA4:
             {