Update README.md

README.md

@@ -1,3 +1,59 @@
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen3-32B
+---
 # LURE 5.3
 
+This is the LURE model for Lua 5.3.
 
+## Usage:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "lurepaper/LURE_5.3"
+
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+prompt = "You are a Lua programming language expert. Please generate generate concise Lua code that produces the Lua 5.3 opcode OP_ADD. Use a print function call at the end to show the execution result of the opcode."
+
+messages = [
+        {"role": "user", "content": prompt},
+    ]
+
+text = tokenizer.apply_chat_template(
+         messages,
+         tokenize=False,
+         add_generation_prompt=True,
+         enable_thinking=True,
+)
+
+model_inputs = tokenizer([text], return_tensors="pt").to(_model.device)
+
+generated_ids = _model.generate(
+        **model_inputs,
+        max_new_tokens=32768,
+)
+
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
+
+# parsing thinking content
+try:
+  # rindex finding 151668 (</think>)
+  index = len(output_ids) - output_ids[::-1].index(151668)
+except ValueError:
+  index = 0
+
+thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
+content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")
+
+print("Thinking content:")
+print(thinking_content)
+
+print("Generated LuaGadget:")
+print(content)
+```