Update README.md

README.md

@@ -6,6 +6,7 @@ base_model:
 - QCRI/Fanar-1-9B-Instruct
 pipeline_tag: text-generation
 ---
+
 # Fanar-1-9B-Instruct — GGUF quantized
 
 This repo contains multiple **GGUF** builds of the Arabic-English LLM **Fanar-1-9B-Instruct**, the instruction-tuned variant of Fanar-1-9B created by QCRI / HBKU. The base model is a 9 B-parameter continuation of **gemma-2-9b** trained on ≈1 T Arabic + English tokens and aligned through SFT → DPO (4.5 M / 250 K pairs). License remains **Apache-2.0** and the context window is **4 096 tokens**. :contentReference[oaicite:0]{index=0}  
@@ -33,3 +34,28 @@ This repo contains multiple **GGUF** builds of the Arabic-English LLM **Fanar-1-
 ```bash
 git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make -j
 ./main -m Fanar-1-9B-Instruct.Q4_K_M.gguf -p "ما هي عاصمة قطر؟"
+````
+
+## Python (llama-cpp-python)
+
+```python
+from llama_cpp import Llama
+llm = Llama(
+    model_path="Fanar-1-9B-Instruct.Q4_K_M.gguf",
+    n_ctx=4096,
+    chat_format="gemma"   # Fanar follows Gemma chat template
+)
+print(llm.create_chat_completion(
+    messages=[{"role":"user","content":"Translate 'peace' to Arabic"}]
+).choices[0].message.content)
+```
+
+---
+
+### Credits & notes
+
+* **Original model:** [`QCRI/Fanar-1-9B-Instruct`](https://huggingface.co/QCRI/Fanar-1-9B-Instruct) (please consult its model card for training data, evaluation results and limitations). ([Hugging Face][1])
+* This repository only supplies GGUF conversions for efficient local inference on CPU/GPU; no weights were changed.
+* Use responsibly—outputs may be inaccurate, biased, or culturally sensitive.
+
+[1]: https://huggingface.co/QCRI/Fanar-1-9B-Instruct?utm_source=chatgpt.com "QCRI/Fanar-1-9B-Instruct - Hugging Face"