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Ornith-1.0: self-improving open-source models for agentic coding

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Re: Ornith-1.0: self-improving open-source models for agentic coding

#41

This is the first Qwen fine-tune that is not immediately rejected by the local LLM community, and in some cases even being recommended. Based on my limited usage, it is good, gives creative solutions to coding problems. I don't expect 9-35B models to one-click create full apps. Most people who were complaining did so .

The local LLM community is now teeming with erstwhile crypto and NFT hucksters who've brought the culture of hype from their former communities with them. There still are a few deeply technical people left, but their voices are being crowded out by the vapid marketers'.

There are certain influential people on Twitter, who if you see them start tweeting on a subject, you know the influx of hype and hucksters is coming.

Re: Ornith-1.0: self-improving open-source models for agentic coding

#44
From what I personally tested Ornith-1.0 35B is slightly better than Qwen-3.6 35B. My tests are tasks that consist of adding/modify feature in a big C++ codebase. The part that I find interesting is that the model is way faster than Qwen3.6 35B. It seems Ornith produce a smaller chain of thought. On my test it can be 3 time faster to produce the answer.

I use it via llamacpp and codex-cli.

Re: Ornith-1.0: self-improving open-source models for agentic coding

#46
post #38

Earlier quoted context omitted.

The local LLM community is now teeming with erstwhile crypto and NFT hucksters who've brought the culture of hype from their former communities with them. There still are a few deeply technical people left, but their voices are being crowded out by the vapid marketers'.

I've also noticed this. I wonder what causes the overlap. It can't be as simple as crypto and LLMs requiring the same hardware.

Money.
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