跑在本機的 GitHub Copilot 替代品
source link: https://blog.gslin.org/archives/2022/08/04/10822/%e8%b7%91%e5%9c%a8%e6%9c%ac%e6%a9%9f%e7%9a%84-github-copilot-%e6%9b%bf%e4%bb%a3%e5%93%81/
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跑在本機的 GitHub Copilot 替代品
Hacker News 上看到「FauxPilot – an attempt to build a locally hosted version of GitHub Copilot (github.com/moyix)」這個本機上跑 GitHub Copilot 協定的專案。專案的 GitHub 在「FauxPilot - an open-source GitHub Copilot server」這邊。
裡面用的是 Salesforce 放出來的 CodeGen，不過 Salesforce 提供了 350M、2B、6B 與 16B 的 model，但在 FauxPilot 這邊目前只看到 350M、6B 與 16B 的 model 可以用，少了 2B 這組，然後需要的 VRAM 就有點尷尬了：
[1] codegen-350M-mono (2GB total VRAM required; Python-only) [2] codegen-350M-multi (2GB total VRAM required; multi-language) [3] codegen-6B-mono (13GB total VRAM required; Python-only) [4] codegen-6B-multi (13GB total VRAM required; multi-language) [5] codegen-16B-mono (32GB total VRAM required; Python-only) [6] codegen-16B-multi (32GB total VRAM required; multi-language)
13GB 剛好超過 3080 Ti 的 12GB，所以不是 3090 或 3090 Ti 的使用者就只能跑 350M 這個版本？看 Hacker News 上的討論似乎是有打算要弄 2B 的版本啦...
然後我自己雖然是 11GB 的 1080 Ti，想跑個 350M 的版本測試看看，但看起來相關的 Nvidia driver 沒裝好造成他識別不到，加上我是用 neovim，看了一下目前 ~/.config/github-copilot/hosts.json 的內容，程式碼應該是寫死到 GitHub API 上使用：
{"github.com":{"user":"gslin","oauth_token":"x"}}
先暫時放著好了，晚點等 2B 版本出現後再回來看看有沒有比較完整的指示...
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