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-

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 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 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 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.