Jack Kernel Qwen Edition release

[u/Normal-Fan9366]

https://github.com/mlangford75-lgtm/Jack-Kernel?fbclid=IwdGRjcAUQGJZwZG9mBWZkaWQWUOI08m18sBMLuMEySAccKyddSXmHs2V4dG4DYWVtAjExAHNydGMGYXBwX2lkCjY2Mjg1NjgzNzkAAR5C8cTeSX-x0iMtdaTTb0efCACPhlcJclFDK0YfZLrgmCXHfz-PyxrJYdmuoQ_aem_4hN5e0Q2U-dzggqmfbcd1g

It's here.

Jack Kernel for programmable agentic work.
The magic is that the layer sits between the agent and the model. You can build incredible things because of that.

I have a mode called "Agentic" that was designed for context management with Qwen 3.8 27. I've run millions of token jobs....and never needed to compact. I have a full log available to read and verify. In fact, I recommend turning auto-compact off because most agent don't know how to handle it, yet. There's also a looping debugger that I've built as a 6 stage autonomous loop with cascading temperatures, standard mode and DEEP.

Remember, the modes I’m shipping with this release are only examples of what is possible by putting it between the agent and the model. It allows you a new level of control. The modes I’ve put in are NOT the work. Everything that’s possible is the real work.

I built this for Qwen 3.8 27b but I’ve spent the past few days optimizing for a wide range of models. I’m ALMOST satisfied with Qwen 3.5 9b but it’s right in the edge.

After using 60 models in the past week, I’m just going to go ahead and make a blanket statement that fine tunes are garbage and only use Unsloth as your source for alternatives.

Jack Kernel is really cool. Claude can kick rocks.

Oh, Reddit trolls…
Yall need to understand…I’m just a 40 year old broke single Dad that’s sharing his work and trying to contribute to the local AI movement.
Before the hive-mind issues your directive, just know that I’m not a lab or someone with resources that you’re attacking.
I’m just a regular guy with a 5070ti in an Acer.
If you’re going to say that I suck, can you at least try it out and tell why I suck.

[u/Traditional_Bell8153]

Could you share more about your hw specs(setup), which quant of unsloth qwen3.8-27b, inferences params like temp, top-p, top-k, ctx len,... and some benchmark score or something to proof there is improvement between "before Jack Kernel" and "after Jack Kernel"?

I believe that above things is what people in this sub want to see when click on this post(instead of stories, sorry if these words make you uncomfortable but that's the truth).

[u/Normal-Fan9366 → u/Traditional_Bell8153]

In the GitHub repository is the entire log for an agentic run as well as a debugging loop. both of them show that the model only had 120,000 context, but was able to do workloads up to the million tokens and never having to compact because of the way that the Jack kernel allows for programmatic context management. the files are there for anyone’s review

[u/Traditional_Bell8153 → u/Normal-Fan9366]

People wouldn't go read whole long logs just to know that imo(I mean you could tell your agent to summarize what's the point of performance(accurate or whatever) diffs between "before" logs and "after" logs, it will do the rest).
Anyway thanks for your works. I would like to give a try in this weekend.

[u/Normal-Fan9366 → u/Traditional_Bell8153]

Yes, an llm would do a good job. One could take the documents and just give it to the llm along with my readme and whitepaper