llm-ls
localpilot
llm-ls | localpilot | |
---|---|---|
2 | 6 | |
471 | 3,314 | |
11.7% | - | |
8.2 | 6.6 | |
2 months ago | 3 months ago | |
Rust | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm-ls
-
Continue will generate, refactor, and explain entire sections of code
> I'd have expected that the main lever the product has in being better than others is having a custom model that understands code edits much more than others.
True, but this is not something this particular product would solve. There are already models specifically trained to work on code. What's appealing to me is the flexibility of being able to choose which one to use, rather than my workflow being tied to a specific product or company.
> the IDE integration seems to be the "easy bit"
I admittedly haven't researched this much, but this is not currently the case. There is no generic API for LLMs that IDEs can plug into, so all plugins must target a specific model. We ultimately need an equivalent of an LSP server for LLMs, and while such a project exists[1], it looks to be in its infancy, as expected.
[1]: https://github.com/huggingface/llm-ls
-
LocalPilot: Open-source GitHub Copilot on your MacBook
Okay, I actually got local co-pilot set up. You will need these 4 things.
1) CodeLlama 13B or another FIM model https://huggingface.co/codellama/CodeLlama-13b-hf. You want "Fill in Middle" models because you're looking at context on both sides of your cursor.
2) HuggingFace llm-ls https://github.com/huggingface/llm-ls A large language mode Language Server (is this making sense yet)
3) HuggingFace inference framework. https://github.com/huggingface/text-generation-inference At least when I tested you couldn't use something like llama.cpp or exllama with the llm-ls, so you need to break out the heavy duty badboy HuggingFace inference server. Just config and run. Now config and run llm-ls.
4) Okay, I mean you need an editor. I just tried nvim, and this was a few weeks ago, so there may be better support. My expereicen was that is was full honest to god copilot. The CodeLlama models are known to be quite good for its size. The FIM part is great. Boilerplace works so much easier with the surrounding context. I'd like to see more models released that can work this way.
localpilot
What are some alternatives?
OpenAI-sublime-text - Sublime Text OpenAI completion plugin with GPT-4 support!
llm-vscode-inference-server - An endpoint server for efficiently serving quantized open-source LLMs for code.
text-generation-inference - Large Language Model Text Generation Inference
cody - AI that knows your entire codebase
refact - WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
continue - ⏩ Open-source VS Code and JetBrains extensions that enable you to easily create your own modular AI software development system