diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp
index 4e65a45..a6e4fe2 100644
--- a/src/llama-model-loader.cpp
+++ b/src/llama-model-loader.cpp
@@ -4,6 +4,7 @@
 #include "ggml.h"
 #include "gguf.h"
 #include "llama-hparams.h"
+#include "llama-ollama-compat.h"
 
 #include <algorithm>
 #include <array>
@@ -549,6 +550,7 @@ llama_model_loader::llama_model_loader(
         }
 
         get_key(llm_kv(LLM_KV_GENERAL_ARCHITECTURE), arch_name, false);
+        if (llama_ollama_compat::translate_metadata(this, metadata, ctx, arch_name, fname.c_str())) use_mmap = false;
         llm_kv = LLM_KV(llm_arch_from_string(arch_name));
 
         files.emplace_back(new llama_file(fname.c_str(), "rb", use_direct_io));
@@ -573,6 +575,9 @@ llama_model_loader::llama_model_loader(
         // so we build a unified tensors index for weights.
         for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
             std::string tensor_name = std::string(cur->name);
+            if (llama_ollama_compat::should_skip_tensor(this, tensor_name.c_str())) {
+                continue;
+            }
             // make sure there is no duplicated tensor names
             if (weights_map.find(tensor_name) != weights_map.end()) {
                 throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
@@ -683,6 +688,9 @@ llama_model_loader::llama_model_loader(
         // Save tensors data offset info of the main file.
         for (ggml_tensor * cur = ggml_get_first_tensor(ctx); cur; cur = ggml_get_next_tensor(ctx, cur)) {
             std::string tensor_name = std::string(cur->name);
+            if (llama_ollama_compat::should_skip_tensor(this, tensor_name.c_str())) {
+                continue;
+            }
             // make sure there is no duplicated tensor names
             if (weights_map.find(tensor_name) != weights_map.end()) {
                 throw std::runtime_error(format("invalid model: tensor '%s' is duplicated", ggml_get_name(cur)));
@@ -1375,6 +1383,7 @@ void llama_model_loader::get_mapping_range(size_t * first, size_t * last, void *
 
 void llama_model_loader::load_data_for(struct ggml_tensor * cur) const {
     const auto & w = require_weight(ggml_get_name(cur));
+    if (llama_ollama_compat::maybe_load_text_tensor(this, cur, w.offs)) return;
 
     if (use_mmap) {
         const auto & mapping = mappings.at(w.idx);
@@ -1525,6 +1534,7 @@ bool llama_model_loader::load_all_data(
         }
 
         size_t n_size = ggml_nbytes(cur);
+        if (llama_ollama_compat::maybe_load_text_tensor(this, cur, weight->offs)) continue;
 
         if (use_mmap) {
             const auto & mapping = mappings.at(weight->idx);
diff --git a/tools/mtmd/clip.cpp b/tools/mtmd/clip.cpp
index 2e0cfa6..a0f2955 100644
--- a/tools/mtmd/clip.cpp
+++ b/tools/mtmd/clip.cpp
@@ -10,6 +10,8 @@
 #include "ggml-backend.h"
 #include "gguf.h"
 
+#include "llama-ollama-compat.h"
+
 #include <algorithm>
 #include <cassert>
 #include <cmath>
@@ -1009,6 +1011,11 @@ struct clip_model_loader {
 
         ctx_meta.reset(meta);
 
+        // If this is an Ollama-format monolithic GGUF (text + embedded
+        // vision), translate its metadata and tensor names into the
+        // upstream mmproj shape so the rest of this loader runs unchanged.
+        llama_ollama_compat::translate_clip_metadata(ctx_gguf.get(), meta);
+
         const int n_tensors = gguf_get_n_tensors(ctx_gguf.get());
 
         // print gguf info
@@ -2611,6 +2618,7 @@ struct clip_model_loader {
                 auto it_off = tensor_offset.find(t->name);
                 GGML_ASSERT(it_off != tensor_offset.end() && "no offset for tensor");
                 const size_t offset = it_off->second;
+                if (llama_ollama_compat::maybe_load_tensor(cur, fname.c_str(), offset, buft)) continue;
                 fin.seekg(offset, std::ios::beg);
                 if (!fin) {
                     throw std::runtime_error(string_format("%s: failed to seek for tensor %s\n", __func__, t->name));