Uploaded sanitized BC250/ROCm Repository.

_TestScripts/Scripts and Tests/check_gguf3.sh

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+#!/bin/bash
+# Detailed GGUF analysis: tensor names and shapes
+/home/fabian/ComfyUI/venv/bin/python3 << 'PYEOF'
+import gguf
+import numpy as np
+
+reader = gguf.GGUFReader("/home/fabian/ComfyUI/models/unet/z_image_turbo-Q5_K_S.gguf")
+
+print("=== GGUF Tensors (first 30) ===")
+for i, tensor in enumerate(reader.tensors[:30]):
+    print(f"  {tensor.name}: shape={list(tensor.shape)} type={tensor.tensor_type}")
+
+print(f"\nTotal tensors: {len(reader.tensors)}")
+
+# Check max dim to determine model size
+dims = set()
+for t in reader.tensors:
+    for s in t.shape:
+        dims.add(int(s))
+
+# Typical dim signatures:
+# Lumina2 base: hidden=2304 (24 layers)
+# ZImage: hidden=3840 (32 layers? depends on config)
+print(f"\nDistinct tensor dimensions: {sorted(dims)[:20]}")
+
+# Check if dim 3840 appears (Z-Image specific)
+has_3840 = any(3840 in t.shape for t in reader.tensors)
+has_2304 = any(2304 in t.shape for t in reader.tensors)
+print(f"\nHas dim 3840 (Z-Image): {has_3840}")
+print(f"Has dim 2304 (Lumina2 base): {has_2304}")
+
+# Count layer numbers to determine depth
+import re
+layer_nums = set()
+for t in reader.tensors:
+    m = re.search(r'\.(\d+)\.', t.name)
+    if m:
+        layer_nums.add(int(m.group(1)))
+if layer_nums:
+    print(f"Layer range: {min(layer_nums)} to {max(layer_nums)} ({len(layer_nums)} layers)")
+PYEOF
+
+echo ""
+echo "=== Disk space check ==="
+df -h /home/fabian/ | tail -1
+
+echo ""
+echo "=== Available model size ==="
+ls -lh /home/fabian/ComfyUI/models/unet/z_image_turbo-Q5_K_S.gguf
+ls -lh /home/fabian/ComfyUI/models/text_encoders/gemma2_2b_lumina2.safetensors
+ls -lh /home/fabian/ComfyUI/models/vae/ae.safetensors 2>/dev/null
+
+echo ""
+echo "=== RAM available ==="
+free -h | head -2