Update README.md

README.md

@@ -13,4 +13,26 @@ language:
 | [mistal-Ita-7b-q4_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q4_k_m.gguf) | Q4_K_M        | 4    | 4.37 GB | medium, balanced quality - recommended           |
 | [mistal-Ita-7b-q5_k_m.gguf](https://huggingface.co/DeepMount00/Mistral-Ita-7b-GGUF/blob/main/mistal-Ita-7b-q5_k_m.gguf) | Q5_K_M        | 5    | 5.13 GB | large, very low quality loss - recommended       |
 
-<!-- README_GGUF.md-provided-files end -->
+<!-- README_GGUF.md-provided-files end -->
+
+## How to Use
+How to utilize my Mistral for Italian text generation
+
+```python
+from ctransformers import AutoModelForCausalLM
+
+# Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
+llm = AutoModelForCausalLM.from_pretrained("DeepMount00/Mistral-Ita-7b-GGUF", model_file="mistal-Ita-7b-q3_k_m.gguf", model_type="mistral", gpu_layers=0)
+
+domanda = """Scrivi una funzione python che calcola la media tra questi valori"""
+contesto = """
+[-5, 10, 15, 20, 25, 30, 35]
+"""
+
+system_prompt = ''
+prompt = domanda + "\n" + contesto
+B_INST, E_INST = "[INST]", "[/INST]"
+prompt = f"{system_prompt}{B_INST}{prompt}\n{E_INST}"
+
+print(llm(prompt))
+```