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https://github.com/xnul/codestral-mamba-for-vscode
Use Codestral Mamba with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
https://github.com/xnul/codestral-mamba-for-vscode
api assistant code codestral continue continuedev copilot github llama llamacpp local mamba mistral mock studio visual vscode
Last synced: 26 days ago
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Use Codestral Mamba with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
- Host: GitHub
- URL: https://github.com/xnul/codestral-mamba-for-vscode
- Owner: xNul
- License: mit
- Created: 2024-07-18T17:55:53.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-07-18T18:24:39.000Z (4 months ago)
- Last Synced: 2024-10-10T04:33:36.125Z (26 days ago)
- Topics: api, assistant, code, codestral, continue, continuedev, copilot, github, llama, llamacpp, local, mamba, mistral, mock, studio, visual, vscode
- Language: Python
- Homepage:
- Size: 3.91 KB
- Stars: 26
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Codestral Mamba for VSCode
An API which mocks [Llama.cpp](https://github.com/ggerganov/llama.cpp) to enable support for Codestral Mamba with the
[Continue Visual Studio Code extension](https://continue.dev/).
As of the time of writing and to my knowledge, this is the only way to use Codestral Mamba with VSCode locally. To make it work, we implement the `/completion` REST API from [Llama.cpp's HTTP server](https://github.com/ggerganov/llama.cpp/blob/master/examples/server/README.md) and configure Continue for VSCode to use our server instead of Llama.cpp's. This way we handle all inference requests from Continue instead of Llama.cpp. When we get a request, we simply pass it off to [mistral-inference](https://github.com/mistralai/mistral-inference) which runs Continue's request with Codestral Mamba. Platform support is available wherever mistral-inference can be run.
Now let's get started!
### Setup
Prerequisites:
- [Download and run Codestral Mamba with mistral-inference](https://huggingface.co/mistralai/mamba-codestral-7B-v0.1) (Ref [1](https://colab.research.google.com/drive/1aHH4PW4eBU_R4R8pQ9BuYeOeMTiA98NF?usp=sharing#scrollTo=KWz9SwHXUfi-) & [2](https://github.com/mistralai/mistral-inference/releases/tag/v1.2.0) & [3](https://github.com/mistralai/mistral-inference/issues/192#issuecomment-2234242452))
- [Install the Continue VSCode extension](https://marketplace.visualstudio.com/items?itemName=Continue.continue)
After you are able to use both independently, we will glue them together with Codestral Mamba for VSCode.
Steps:
1. Install Flask to your mistral-inference environment with `pip install flask`.
2. Run `llamacpp_mock_api.py` with `python llamacpp_mock_api.py ` under your mistral-inference environment.
3. Click the settings button at the bottom right of Continue's UI in VSCode and make changes to `config.json` so it looks like [this](https://docs.continue.dev/reference/Model%20Providers/llamacpp)[\[archive\]](http://web.archive.org/web/20240531162330/https://docs.continue.dev/reference/Model%20Providers/llamacpp). Replace `MODEL_NAME` with `mistral-8x7b`.
Restart VSCode or reload the Continue extension and you should now be able to use Codestral Mamba for VSCode!