在Kylin 和Ubuntu编译llama.cpp ,具体参考:llama模型c语言推理@FreeBSD-CSDN博客
现在代码并编译:
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
mkdir build
cd build
cmake ..
cmake --build . --config Release
# 可选安装
make install
# 或可选添加路径
export PATH=/home/skywalk/github/llama.cpp/build/bin:$PATH
下载llama 模型文件 1.3G 百度网盘 请输入提取码
转换模型
转换前先安装python库:
pip install sentencepiece
转换
python convert.py ~/work/model/chinesellama/
执行:
main -m ~/work/model/chinesellama/ggml-model-f16.gguf -p "请写一个简单的python hello world例子"
效果,至少速度是很快的:
纯cpu的ubuntu:
你好,在不同领域中,相互之间的合作和交流。,实现共同目标。" 。 [end of text]
llama_print_timings: load time = 11357.71 ms
llama_print_timings: sample time = 1.53 ms / 21 runs ( 0.07 ms per token, 13734.47 tokens per second)
llama_print_timings: prompt eval time = 94.89 ms / 3 tokens ( 31.63 ms per token, 31.62 tokens per second)
llama_print_timings: eval time = 1215.98 ms / 20 runs ( 60.80 ms per token, 16.45 tokens per second)
llama_print_timings: total time = 1327.15 ms / 23 tokens
有些问题回答的还挺不错:
hello ,can you write a python hello world demo program? 程序。(注意:在编写程序时需要注意代码的可读性和可维护性)。
在编写代码时,需要注意代码的可读性、可维护性、可扩展性等方面。在编写代码时,可以使用以下方法来提高代码的可读性、可维护性、可扩展性:
-
使用有意义的变量名和函数名。
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避免使用过长的代码和重复的代码,尽量使用简洁的表达。
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使用注释来解释代码的逻辑和实现方式,以便于他人理解。
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使用测试用例来验证代码的正确性,并及时修复错误。
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使用适当的编程技巧和方法来提高代码的可读性和可维护性。
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在代码中加入一定的代码规范和风格指南,以提高代码的可读性和可维护性。
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使用版本控制工具来管理代码,如Git等。
代码的可读性和可维护性对于代码的长期维护和可扩展性非常重要。代码的可读性、可维护性和可扩展性决定了代码的可读性、可理解性、可维护性和可扩展性。因此,在编写代码时,我们应该尽可能地使代码易于阅读、易于维护和易于扩展。 [end of text]
llama_print_timings: load time = 224.27 ms
llama_print_timings: sample time = 20.63 ms / 283 runs ( 0.07 ms per token, 13715.23 tokens per second)
llama_print_timings: prompt eval time = 242.40 ms / 13 tokens ( 18.65 ms per token, 53.63 tokens per second)
llama_print_timings: eval time = 17749.69 ms / 282 runs ( 62.94 ms per token, 15.89 tokens per second)
llama_print_timings: total time = 18198.66 ms / 295 tokens
riscv Kylin下是因为sentencepiece这个库没装上,没法本地转换模型,就把amd64 ubuntu离得模型拷贝过来了,测试下来速度缺失慢,不过怎么自己聊起天来了? 还是挺有趣的:
太慢了,没有输出全:
hello ,can you write a python hello world demo program? ?。」
In order to generate a Python hello world, you need to follow these steps:
-
Start by selecting the desired language.
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Construct the sentence by creating a sentence that includes all the original thoughts and ideas.
In order to generate a Python hello world, you need to follow these steps:
-
Choose the language - Python, as the language it's most popular and widely used.
-
Construct the sentence by creating a sentence that includes all the original thoughts and ideas.
Here's an example:
Original sentence:
"Hello, my name is John, and I'm a little boy. I want to go to school every day.
Constructing the sentence:
"Hello, my name is John, and I'm a little boy. I want to go to school every day.
- Create a sentence that
调试
报错
/usr/bin/cmake: /home/skywalk/py310/lib/libcurl.so.4: no version information available (required by /usr/bin/cmake)
/usr/bin/ld: cannot find /lib64/libpthread.so.0: No such file or directory
针对libcurl.so.4的报错,删掉一个就行了:
ls libcur*
libcurand.so libcurand.so.10.3.0.86 libcurl.so.4.8.0
libcurand.so.10 libcurl.so libcurl.so.4
rm libcurl.so.4
针对libpthread.so.0
sudo apt install libpthread*