diff --git a/llmengine/qwen3coder.py b/llmengine/qwen3coder.py
new file mode 100644
index 0000000..a748a7c
--- /dev/null
+++ b/llmengine/qwen3coder.py
@@ -0,0 +1,42 @@
+#!/share/vllm-0.8.5/bin/python
+
+# pip install accelerate
+from appPublic.worker import awaitify
+from appPublic.log import debug
+from ahserver.serverenv import get_serverenv
+from PIL import Image
+import torch
+from llmengine.base_chat_llm import BaseChatLLM, llm_register
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+class Qwen3CoderLLM(BaseChatLLM):
+	def __init__(self, model_id):
+		self.tokenizer = AutoTokenizer.from_pretrained(model_id)
+		self.model = AutoModelForCausalLM.from_pretrained(
+			model_id,
+			torch_dtype="auto",
+			device_map="auto"
+		)
+		self.model_id = model_id
+
+	def build_kwargs(self, inputs, streamer):
+		generate_kwargs = dict(
+			**inputs,
+			streamer=streamer,
+			# do_sample=True,
+			# eos_token_id=self.tokenizer.eos_token_id
+			max_new_tokens=65536
+		)
+		return generate_kwargs
+
+	def _messages2inputs(self, messages):
+		debug(f'-----------{messages=}-----------')
+		text = self.tokenizer.apply_chat_template(
+			messages, 
+			tokenize=False,
+			add_generation_prompt=True
+		)
+		debug(f'{text=}, {type(text)=}')
+		return self.tokenizer([text], return_tensors="pt").to(self.model.device)
+
+llm_register("Qwen/Qwen3Coder", Qwen3LLM)