Update README.md

README.md

@@ -44,16 +44,18 @@ It is strongly recommended to use the text-generation-webui one-click-installers
 4. The model will start downloading. Once it's finished it will say "Done"
 5. In the top left, click the refresh icon next to **Model**.
 6. In the **Model** dropdown, choose the model you just downloaded: `Merak-7B-v3-Mini-Orca-Indo-GPTQ`
-7. The model will automatically load, and is now ready for use!
-8. If you want any custom settings, set them and then click **Save settings for this model** followed by **Reload the Model** in the top right.
-  * Note that you do not need to set GPTQ parameters any more. These are set automatically from the file `quantize_config.json`.
-9. Once you're ready, click the **Text Generation tab** and enter a prompt to get started!
+7. In the **Model Loader** dropdown, choose ExLlamav2_HF as the model loader.
+8. Click load.
+9. Click the **Default** tab
+10. Copy prompt format mentioned above to the input box.
+11. Enter a prompt and click generate! Click continue to get longer response.
 
 ## How to use this GPTQ model from Python code
 
 First make sure you have [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) installed:
 
 `GITHUB_ACTIONS=true pip install auto-gptq`
+pip install sentencepiece
 
 Then try the following example code:
 
@@ -62,7 +64,7 @@ from transformers import AutoTokenizer, pipeline, logging
 from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
 
 model_name_or_path = "asyafiqe/Merak-7B-v3-Mini-Orca-Indo-GPTQ"
-model_basename = "model"
+model_basename = "Merak-7B-v3-Mini-Orca-Indo-GPTQ"
 
 use_triton = False
 
@@ -77,7 +79,7 @@ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
         quantize_config=None)
 
 
-prompt = "Tell me about AI"
+prompt = "Buat rencana untuk menghemat listrik di rumah"
 system_message = "Anda adalah asisten AI. Anda akan diberi tugas. Anda harus menghasilkan jawaban yang rinci dan panjang.\n"
 prompt_template=f'''SYSTEM: {system_message}
 USER: {prompt}