These are simply benchmaxxed versions of either Qwen or Gemma 4.
If so, it's impressive they managed to benchmaxx Qwen even further than it's already benchmaxxed.
Ornith-1.0: self-improving open-source models for agentic coding
21–30 of 65 posts
Re: Ornith-1.0: self-improving open-source models for agentic coding
#22This 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 .
We must be in different communities... Qwen models are the most recommended ones that will actually run on local hardware that is accessible to the masses!
Yeah, but they're talking about fine-tunes.
Re: Ornith-1.0: self-improving open-source models for agentic coding
#23Previously: https://news.ycombinator.com/item?id=48709744 https://swelljoe.com/post/will-it-mythos/ : "Poor performer here, only found the one bug that almost every model found, despite its performance on other benchmarks being excellent for its size. […] It also performs poorly in a chat without tools, exhibiting an ehthusiasm for hallucination. I’m currently working on a replication of this with full tool access, i…
> It also performs poorly in a chat without tools, exhibiting an ehthusiasm for hallucination. I’m currently working on a replication of this with full tool access, including bash/Python, which may allow this model to be competitive. How is that a serious phrase in '26? I mean I have no idea if this fine-tune is good, haven't tried it, but testing a (clearly) agentic model without tool access and expecting it to work…
Visual Inspection Before Execution… it’s all vibe…
Re: Ornith-1.0: self-improving open-source models for agentic coding
#24Self-Improving bullshit. It is just Qwen 3.5 finetune benchmaxxed . Nothing spectacular . even fails at benchmarks.
Long session tool calls sucks and hallucinate a lot with that too. Just use Qwen 3.6 and 3.5 122b.
Re: Ornith-1.0: self-improving open-source models for agentic coding
#25This 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 .
Its not any better. Most of us at LocalLLama community dont like it except a few new people poping out and making posts.
Re: Ornith-1.0: self-improving open-source models for agentic coding
#26Re: Ornith-1.0: self-improving open-source models for agentic coding
#27Can anyone explain what’s the story here? Is this just a re-skinned qwen? Who is deepreinforce-ai and why isn’t this model listed on their website? How does it self-improve, does the model change on disk - or just during a single context run it gets better?
Clickbait title.
Re: Ornith-1.0: self-improving open-source models for agentic coding
#28Can anyone explain what’s the story here? Is this just a re-skinned qwen? Who is deepreinforce-ai and why isn’t this model listed on their website? How does it self-improve, does the model change on disk - or just during a single context run it gets better?
It doesn't self-improve, that's a misleading headline. As far as I can tell they trained it by running their own reinforcement learning on top of Qwen and Gemma 4 (not sure how they combined weights from both, or if they used Qwen as the basis and Gemma 4 to help train?) - so the "self-improving" is about their training process, not how you use the weights.
Do you think we will get a self-improving model in 26 or 27? Maybe not a native one but some kind of hack so a model will learn something without loosing part of the context window?
Re: Ornith-1.0: self-improving open-source models for agentic coding
#29[deleted]
Re: Ornith-1.0: self-improving open-source models for agentic coding
#30This 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 .
Its not any better. Most of us at LocalLLama community dont like it except a few new people poping out and making posts.
Indeed, it performed worse than Qwen3.6-27b in my basic test.
It gave a fancier looking answer, but did a worse job following the prompt.