[Docs] Move GPU troubleshooting section to RUN_DEBUG.md for better organization

- Removed detailed GPU memory troubleshooting from `README.md` to avoid redundancy.
- Added and expanded GPU troubleshooting section in `RUN_DEBUG.md` for clearer guidance.

Author: mikepapadim

README.md

@@ -312,31 +312,6 @@ docker run --rm -it --gpus all \
   --model /data/Llama-3.2-1B-Instruct.FP16.gguf \
   --prompt "Tell me a joke"
 ```
------------
-
-## Troubleshooting GPU Memory Issues
-
-### Out of Memory Error
-
-You may encounter an out-of-memory error like:
-```
-Exception in thread "main" uk.ac.manchester.tornado.api.exceptions.TornadoOutOfMemoryException: Unable to allocate 100663320 bytes of memory.
-To increase the maximum device memory, use -Dtornado.device.memory=<X>GB
-```
-
-This indicates that the default GPU memory allocation (7GB) is insufficient for your model.
-
-### Solution
-
-First, check your GPU specifications. If your GPU has high memory capacity, you can increase the GPU memory allocation using the `--gpu-memory` flag:
-
-```bash
-# For 3B models, try increasing to 15GB
-./llama-tornado --gpu --model beehive-llama-3.2-3b-instruct-fp16.gguf --prompt "Tell me a joke" --gpu-memory 15GB
-
-# For 8B models, you may need even more (20GB or higher)
-./llama-tornado --gpu --model beehive-llama-3.2-8b-instruct-fp16.gguf --prompt "Tell me a joke" --gpu-memory 20GB
-```
 
 -----------
 

docs/RUN_DEBUG.md

@@ -1,4 +1,28 @@
-## GPU Memory Requirements by Model Size
+## Troubleshooting GPU Memory Issues
+
+### Out of Memory Error
+
+You may encounter an out-of-memory error like:
+```
+Exception in thread "main" uk.ac.manchester.tornado.api.exceptions.TornadoOutOfMemoryException: Unable to allocate 100663320 bytes of memory.
+To increase the maximum device memory, use -Dtornado.device.memory=<X>GB
+```
+
+This indicates that the default GPU memory allocation (7GB) is insufficient for your model.
+
+### Solution
+
+First, check your GPU specifications. If your GPU has high memory capacity, you can increase the GPU memory allocation using the `--gpu-memory` flag:
+
+```bash
+# For 3B models, try increasing to 15GB
+./llama-tornado --gpu --model beehive-llama-3.2-3b-instruct-fp16.gguf --prompt "Tell me a joke" --gpu-memory 15GB
+
+# For 8B models, you may need even more (20GB or higher)
+./llama-tornado --gpu --model beehive-llama-3.2-8b-instruct-fp16.gguf --prompt "Tell me a joke" --gpu-memory 20GB
+```
+
+### GPU Memory Requirements by Model Size
 
 | Model Size  | Recommended GPU Memory |
 |-------------|------------------------|