Update README.md

README.md

@@ -1,6 +1,13 @@
 ---
 inference: false
 license: other
+datasets:
+- bavest/fin-llama-dataset
+tags:
+- finance
+- llm
+- llama
+- trading
 ---
 
 <!-- header start -->
@@ -29,6 +36,26 @@ It is the result of quantising to 4bit using [AutoGPTQ](https://github.com/PanQi
 * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/fin-llama-33B-GGML)
 * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/bavest/fin-llama-33b-merged)
 
+## Prompt template
+
+Standard Alpaca prompting:
+
+```
+A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's question.
+### Instruction: prompt
+
+### Response: 
+```
+or
+```
+A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's question.
+### Instruction: prompt
+
+### Input:
+
+### Response:
+```
+
 ## How to easily download and use this model in text-generation-webui
 
 Please make sure you're using the latest version of text-generation-webui
@@ -73,8 +100,8 @@ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
         quantize_config=None)
 
 prompt = "Tell me about AI"
-prompt_template=f'''### Human: {prompt}
-### Assistant:'''
+prompt_template=f'''### Instruction: {prompt}
+### Response:'''
 
 print("\n\n*** Generate:")