Thanks for flagging. From the few benchmarks I can find, it looks there or thereabouts with Qwen 3.6-35B-A3B, or maybe a touch below. I'm interested to compare a model that is a big jump larger with pretty impressive benchmarks, but more heavily quantized to fit.
The XS model is genuinely confounding. So far I do not know what to make of it.
Maybe the chat template is broken, maybe not. But I can't get it to think/reason, or at least sometimes it seems to decide not to even when asked. And it is wildly inconsistent when it does it, sometimes thinking out loud.
However, without thinking enabled it is shockingly good at researching using web tool calls. It's also very fast.
I am assuming something is not yet right with the chat template, even using a recent build of llama.cpp, and I guess I will revisit this model again at some point in the future.
Website codegpt.co also has a plugin for both VS Code and Intellij. When model becomes available in Ollama, you can connect plugin in VS code to local ollama instance.
I have MS from University of Florida and more than 13 years of work experience. I am currently enrolled in Georgia Tech online MS and have completed courses on Machine learning and Deep learning.
I prefer books which have rating of at least 4.2 on Goodreads and 1000+ reviews. Higher the better.
Interval is sporadic. If I think it is urgent, then order it immediately, else keep in Amazon wish list and buy when there is a good discount or during sale. If physical copy of the book is expensive, then I consider kindle edition if kindle version is much cheaper.
I will recommend that you go through Universities course pages on courses related to Operating Systems, Systems Programming, Computer Networks & Distributed Systems. Many of them have links to programming assignments and projects, try implementing those.
Advantages:
1. Problem will be well defined for you.
2. Better to implement eventual consistency between 3 nodes, distributed file system or single user database than trying to figure a bug in a large open source codebase.
You may find following links helpful in finding some of such courses:
https://huggingface.co/poolside/Laguna-XS-2.1-GGUF/tree/main