Update README.md

README.md

@@ -1,3 +1,10 @@
+---
+license: unknown
+language:
+- en
+base_model:
+- mistralai/Mistral-7B-Instruct-v0.2
+---
 # Mistral LoRA - BitNet 1.58 Q&A Expert
 
 This is a LoRA fine-tuned adapter for [`mistralai/Mistral-7B-Instruct-v0.2`] on a custom Q&A dataset derived from the paper **"The Era of 1-bit LLMs" (BitNet b1.58)**.
@@ -36,4 +43,4 @@ tokenizer = AutoTokenizer.from_pretrained("ogflash/mistral-lora-qa-1bit")
 prompt = "### Instruction:\nwhat is 1 bit llm\n\n### Response:\n"
 inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
 outputs = model.generate(**inputs, max_new_tokens=100)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))