Update README.md

README.md

@@ -59,6 +59,33 @@ result = answer("你好")
 print(result)
 ```
 
+<br>
+int8:
+
+```python
+from transformers import LlamaForCausalLM, AutoTokenizer
+import torch
+
+ckpt = "tiansz/ChatYuan-7B-merge"
+device = torch.device('cuda')
+max_memory = f'{int(torch.cuda.mem_get_info()[0]/1024**3)-1}GB'
+n_gpus = torch.cuda.device_count()
+max_memory = {i: max_memory for i in range(n_gpus)}
+model = LlamaForCausalLM.from_pretrained(ckpt, device_map='auto', load_in_8bit=True, max_memory=max_memory)
+tokenizer = AutoTokenizer.from_pretrained(ckpt)
+
+def answer(prompt):
+  prompt = f"用户：{prompt}\n小元："
+  input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)
+  generate_ids = model.generate(input_ids, max_new_tokens=1024, do_sample = True, temperature = 0.7)
+  output = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+  response = output[len(prompt):]
+  return response
+
+result = answer("你好")
+print(result)
+```
+
 <br>
 
 ## License