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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3import torch
4
5tokenizer = AutoTokenizer.from_pretrained("TinyPixel/stablelm-ft2", trust_remote_code=True)
6
7model = AutoModelForCausalLM.from_pretrained("TinyPixel/stablelm-ft2", torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
8
9text = '''### System:
10You are a helpful AI assistant.
11
12### User:
13Why is sky blue?
14
15### Assistant:
16'''
17
18device = "cuda:0"
19
20inputs = tokenizer(text, return_tensors="pt").to(device)
21
22outputs = model.generate(**inputs,
23 max_new_tokens=512,
24 do_sample=True,
25 top_p=0.95,
26 temperature=0.7,
27 top_k=50)
28
29print(tokenizer.decode(outputs[0], skip_special_tokens=False))