使用GPT4All开源项目搭建自己的ChatGPT聊天应用

GPT4All开源项目地址：https://github.com/nomic-ai/gpt4all

开始使用

① 直接下载项目代码

或者使用Git下载

git clone https://github.com/nomic-ai/gpt4all.git

② 下载模型文件gpt4all-lora-quantized.bin，并将其放到项目gpt4all\chat文件夹下。

模型文件下载地址：

第一个下载地址：https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin
第二个下载地址：https://tinyurl.com/gpt4all-lora-quantized

③ 打开Windows PowerShell软件，切换到gpt4all\chat文件夹下，并运行gpt4all-lora-quantized-win64.exe文件。

Windows PowerShell
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尝试新的跨平台 PowerShell https://aka.ms/pscore6

PS C:\Users\admin> cd C:\dev\nginx\html_o\gpt4all\chat
PS C:\dev\nginx\html_o\gpt4all\chat> .\gpt4all-lora-quantized-win64.exe
main: seed = 1681523953
llama_model_load: loading model from 'gpt4all-lora-quantized.bin' - please wait ...
llama_model_load: ggml ctx size = 6065.35 MB
llama_model_load: memory_size =  2048.00 MB, n_mem = 65536
llama_model_load: loading model part 1/1 from 'gpt4all-lora-quantized.bin'
llama_model_load: .................................... done
llama_model_load: model size =  4017.27 MB / num tensors = 291

system_info: n_threads = 4 / 8 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 0 | NEON = 0 | ARM_FMA = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | VSX = 0 |
main: interactive mode on.
sampling parameters: temp = 0.100000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000


== Running in chat mode. ==
 - Press Ctrl+C to interject at any time.
 - Press Return to return control to LLaMA.
 - If you want to submit another line, end your input in '\'.

现在，就可以测试了，下面是简单的几个测试

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至于其它功能，则需要自己去发掘了，本文只是简单的使用教程，毕竟本人专业不是搞AI。