maciejgryka

Does anyone know what the license for this model is? Specifically any word on restrictions about what it can be used for?

That’s like asking whether fuel consumption was productive or leisure as the number of cars on the road increased. It’s both! I don’t think you can separate one from the other in any reasonable way.

Thank you fur writing this nichochar.

I have many similar thoughts, but one thing that worries me is also trying too hard to do the optimal thing. I often find that my own expectations collide with reality (kids’ moods, random events necessitating change of plans etc). So it’s important to switch from “rationally making shit happen” mode during work time to “vibe and see what happens” during family time. This mental switch is hard.

Ha that’s a really interesting comparison! I guess the difference is that OR directly sends revenue to model providers, so maybe they’re more likely to continue working together? But I can totally see it go the other way once a provider feels confident enough their users won’t switch away. At that point the OpenRouter tax, however small, will be a problem to solve.

I’d bet there are as many stories of businesses failing because of inability to ship quickly as there are about focusing too much on your tooling instead of delivering value to customers. Both failures are dangerous! And depending on your market, product, team etc. a different spot on that spectrum is appropriate.

In some places shipping quickly is part of the value. In others, the product works and delivers value and having slow releases (implying eg a manual release process) is a feature.

What this article advocates for is certainly a valid lens, by IMO it’d be a mistake to take it as universal.

We benchmarked which small language models are most tunable and which deliver best performance after fine-tuning. Tested 12 models (Qwen, Llama, Gemma, Granite, SmolLM) on 8 tasks.

TL;DR Qwen3 family is the best overall choice, small Llamas improve the most after fine-tuning.

Huh works fine for me, even when not logged in to Github. Can you try again?

We've been experimenting with small models for structured tool calling tasks and just released gitara. Both the 3B and 1B models turn natural language instructions into valid git commands and run fully locally through Ollama.

Highlights:

1/ Same accuracy as a 120B GPT-OSS 2/ Runs on your laptop using Ollama 3/ <1.5 seconds response time

Examples: - “undo last commit but keep changes” → `git reset --soft HEAD~1` - “what is in the latest stash, show diff” → `git stash show --patch` - “show 8 commits as a graph” → `git log -n 8 --graph`

The repo includes the code, tool schema, examples, and evaluation method.