Gemma尝鲜：本地笔记本流畅运行Gemma_gemma2b运行条件

各种办法尝试个遍，这样弄保证你能开始玩儿。

准备

PC一台，有无GPU随意。硬盘几十G。
Python3.11以上。
根据是否由GPU、GPU型号不同，安装不同的PyTorch（PyTorch安装指令）

下载Gemma

1. 安装HuggingFace CLI
2. 下载: huggingface-cli download --local-dir . google/gemma-2b-it

Clone

git clone https://github.com/aiXpertLab/Run-Google-Gemma-Locally-on-Desktop-Laptop.git

源码

# from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "google/gemma-2b-it"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model=AutoModelForCausalLM.from_pretrained("google/gemma-2b-it", device_map="auto")

input_text = "write me a poem about beautifuly woman."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)
print(tokenizer.decode(outputs[0]))
1
2
3
4
5
6
7
8
9
10
11

更多更详细的内容，在github✨⭐✨：

点个⭐，码更行！
https://github.com/aiXpertLab/Run-Google-Gemma-Locally-on-Desktop-Laptop
点个赞，开源❤️！