Supra Reasoning Summarizer — a tiny model to summarize thinking traces from coding agents

Hi, r/LocalLLaMA!

SupraLabs just released a model called: SupraLabs/reasoning-summarizer-800m-pre-gguf

It is a thought trace summarizer. Basically, the user/dev can send a reasoning + tool calls (if you want), and then the model will generate a JSON which looks liek this:

{

"title": "...",

"sub_title": "...",

"summary": "...",

"cur_task": "..."

}

Here are some samples:

https://preview.redd.it/0pqhoqt5khbh1.png?width=1512&format=png&auto=webp&s=0c0a022ec910bc14e6a335ae23581bf2e4c606de

https://preview.redd.it/jouw1fkgkhbh1.png?width=2558&format=png&auto=webp&s=e3087cf2ed2116a4e35790c8f4d17c39d154306c

Devs can implement creative ways to show the reasoning trace to the users with this setup, instead of showing the raw thought trace the model made.

Personally, I like the qwen3.5+ models for this because they create the structure reasoning chains, which you can take to create the thought trace, which looks like how the official qwen chat web app shows the thought trace!

link to repo: https://huggingface.co/SupraLabs/reasoning-summarizer-800m-pre-gguf

With this model, we also shipped an open-source dataset:

https://huggingface.co/datasets/SupraLabs/reasoning-summaries-61k

Note: right now, the model is "okay" at summarizing all types of reasoning traces, but we are making an agentic coding specialized model.

Also, I noticed that the model has a somewhat limited vocabulary to start the summary (for the first few words), those will be fixed with the agentic coding thought traces!

Have fun, and tell us about your experiences! 🤗😝