Guard against unset resolved_archive_file (#35628)

* archive_file may not be specified
When loading a pre-trained model from a gguf file, resolved_archive_file may not be set. Guard against that case in the safetensors availability check.

* Remap partial disk offload to cpu for GGUF files
GGUF files don't support disk offload so attempt to remap them to the CPU when device_map is auto. If device_map is anything else but None, raise a NotImplementedError.

* Don't remap auto device_map and raise RuntimeError
If device_map=auto and modules are selected for disk offload, don't attempt to map them to any other device. Raise a runtime error when a GGUF model is configured to map any modules to disk.

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

Author: dmlap

src/transformers/modeling_utils.py

@@ -4267,6 +4267,12 @@ def from_pretrained(
             # check if we don't have tied param in different devices
             check_tied_parameters_on_same_device(tied_params, device_map)
 
+        if gguf_path and device_map is not None and "disk" in device_map.values():
+            raise RuntimeError(
+                "One or more modules is configured to be mapped to disk. Disk offload is not supported for models "
+                "loaded from GGUF files."
+            )
+
         if from_tf:
             if resolved_archive_file.endswith(".index"):
                 # Load from a TensorFlow 1.X checkpoint - provided by original authors
@@ -4525,7 +4531,7 @@ def _load_pretrained_model(
             archive_file = (
                 resolved_archive_file[0] if isinstance(resolved_archive_file, (list, tuple)) else resolved_archive_file
             )
-            is_safetensors = archive_file.endswith(".safetensors")
+            is_safetensors = archive_file is not None and archive_file.endswith(".safetensors")
             if offload_folder is None and not is_safetensors:
                 raise ValueError(
                     "The current `device_map` had weights offloaded to the disk. Please provide an `offload_folder`"

tests/quantization/ggml/test_ggml.py

@@ -219,6 +219,49 @@ def test_q6_k_fp16(self):
         EXPECTED_TEXT = "Hello, World!\n\nStep 3: Add"
         self.assertEqual(tokenizer.decode(out[0], skip_special_tokens=True), EXPECTED_TEXT)
 
+    def test_gguf_errors_disk_offload(self):
+        from collections import OrderedDict
+
+        q2_k_gguf_model_id = self.gguf_filename.format(quant_type=QuantType.Q2_K.name)
+        with self.assertRaises(RuntimeError):
+            AutoModelForCausalLM.from_pretrained(
+                self.gguf_model_id,
+                device_map=OrderedDict(
+                    [
+                        ("model.embed_tokens", "cpu"),
+                        ("lm_head", "cpu"),
+                        ("model.layers.0", "cpu"),
+                        ("model.layers.1", "cpu"),
+                        ("model.layers.2", "cpu"),
+                        ("model.layers.3", "cpu"),
+                        ("model.layers.4", "cpu"),
+                        ("model.layers.5", "cpu"),
+                        ("model.layers.6", "cpu"),
+                        ("model.layers.7", "cpu"),
+                        ("model.layers.8", "cpu"),
+                        ("model.layers.9", "cpu"),
+                        ("model.layers.10", "disk"),
+                        ("model.layers.11", "disk"),
+                        ("model.layers.12", "disk"),
+                        ("model.layers.13", "disk"),
+                        ("model.layers.14", "disk"),
+                        ("model.layers.15", "disk"),
+                        ("model.layers.16", "disk"),
+                        ("model.layers.17", "disk"),
+                        ("model.layers.18", "disk"),
+                        ("model.layers.19", "disk"),
+                        ("model.layers.20", "disk"),
+                        ("model.layers.21", "disk"),
+                        ("model.layers.22", "disk"),
+                        ("model.norm", "disk"),
+                        ("model.rotary_emb", "disk"),
+                    ]
+                ),
+                gguf_file=q2_k_gguf_model_id,
+                offload_folder="offload",
+                offload_state_dict=True,
+            )
+
 
 @require_gguf
 @require_torch_gpu