Update README.md

README.md

@@ -7,7 +7,7 @@ GGUF quants for https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1
 
 > Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 7B Gemma is the third model in the series, and is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO). You can reproduce the training of this model via the recipe provided in the [Alignment Handbook](https://github.com/huggingface/alignment-handbook).
 
-There are few things to consider when using this model:
+There are few things to consider when using this model with llama.cpp:
 * Special tokens `<|im_start|>` and `<|im_end|>` are not properly mapped as overrides of `<start_of_turn>` and `<end_of_turn>` (issue in the GGUF)
 * Repeat penalty must `1.0` (i.e. disabled) just like with the base model
 * The model was not trained with the system instructions (i.e. don't add the `system` instructions part of the chatml template)