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

This is probably the only reason microsoft recall exists, as it is completely useless for anything else.

I like that every bar has a different scaling.