Update README.md

README.md

@@ -39,7 +39,13 @@ This model was fine-tuned for instruction following. Instruction-tuned models ar
 
 ### How to use
 
-If you want to use this model for instruction-following, you need to use the same prompt format we used in the fine-tuning process (basically the same format what Meta used in their Llama2 models). **Note: do not use "LlamaTokenizer" from transformers library but always use the AutoTokenizer instead, or use the plain sentencepiece tokenizer.** Here is an example using the instruction-following prompt format with the tokenizer's built-in chat template feature which makes it easy to format your potential multi-turn chats too, with some generation arguments you can modify for your use:
+If you want to use this model for instruction-following, you need to use the same prompt format we used in the fine-tuning process (basically the same format what Meta used in their Llama2 models).\
+**Note: do not use "LlamaTokenizer" from transformers library but always use the AutoTokenizer instead, or use the plain sentencepiece tokenizer.** 
+
+Looking for <b>GGUF-versions?</b> 
+Those can be found from here for now: [GGUF-versions](https://huggingface.co/mradermacher/Ahma-3B-Instruct-GGUF)
+
+Here is an example using the instruction-following prompt format with the tokenizer's built-in chat template feature which makes it easy to format your potential multi-turn chats too, with some generation arguments you can modify for your use:
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM