For anyone looking to try this out on consumer grade hardware here's a q4 version [0]. From initial testing it's subjectively a bit behind deepseek-coder-instruct [1] at the same size and quantization. Deepseeks model is near magic when it behaves (1-2 tries), spitting out nicely formatted code fence blocks in markdown that I can naively render in real time to get a local chatgpt like experience. Magicoder can do this too, but it usually takes 3-4 tries and it tends to "opt out" and ask for more info pretty frequently. Of course if you have a ton of vram, use the 33b-instruct variant instead.
After more testing, I think it's a toss up on most coding tasks but Magicoder tends to give subjectively better responses to "bad prompts". That is, prompts where you don't put effort into writing clear instructions. For example, one of my "bad prompt" tests is
> how to enable shared gpu memory in wsl2 docker container
A good response to this would discuss the nvidia container toolkit, maybe something about port forwarding, etc. But this isn't a prompt most models can give good responses to. Both of these models can handle it, even at 7b, but Magicoder gives more information.
[0] https://huggingface.co/LoneStriker/Magicoder-S-DS-6.7B-4.0bp...
[1] https://huggingface.co/bartowski/deepseek-coder-6.7b-instruc...