If you want in line completions, you need a model that is trained on “fill in the middle” tasks. On their Huggingface page they even say that this is not supported and needs fine tuning:

We do not recommend using base language models for conversations. Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., or fill in the middle tasks on this model.

A model that can do it is:

• starcoder2
• codegemma
• codellama

Another option is to just use the qwen model, but instead of only adding a few lines let it rewrite the entire function each time.

Split Horizon with Poison Reverse

On Huggingface is a space where you can select the model and your graphics card and see if you can run it, or how many cards you need to run it. https://huggingface.co/spaces/Vokturz/can-it-run-llm

You should be able to do inference on all 7b or smaller models with quantization.

Thanks for the suggestion, I tried it and the diff view is very good. The setup was not really easy for my local models, but after i set it up, it was really fast. The biggest problem with the tool is that the open source models are not that good, i tried if it could fix a bug in my code and it was only able to make it worse. On a more positive note, you at least do not need to copy all text over to another window and it is great for generating boilerplate code nearly flawlessly every time.

Question: What is the best self hosted coding assistant?

The (only) project i found, that does what i want:

• https://github.com/fauxpilot/fauxpilot
• https://github.com/Venthe/vscode-fauxpilot

It works ok for the most part. The problem i have with it is that inline completion is more annoying then helpful, because the AI only sees the last few lines that you wrote and therefore does not know the larger context of the project.

I also found this project, it looks promising. Has anyone tested it? Can you separate the server from the client?

• https://github.com/morph-labs/rift

Are there other projects that integrate well into an IDE?