Earlier quoted context omitted.
> A simple linear combination of every weight did not degrade the performance of the model, but enhanced it. Enhanced it on a couple benchmarks, supposedly. The game is to turn knobs until you get a benchmark run that shows an improvement, then ship it. There are a lot of fine tunes and chimera models on HuggingFace that are supposedly better at some specific test, but when you use them for anything else they're usua…
I don't think your last point is correct. Ablation, when done correctly, seems to increase the quality and typically also the performance too.
Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
191–200 of 261 posts
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#192Earlier quoted context omitted.
That’s the joke.
It isn't. The entirety of the comment I responded to is "Oh no, someone is profiting off of their work without proper attribution!?!?" It's a valid point, but references someone using content created by others for profit. I'm objecting to equating this project with the work done by the original content creators. They're not remotely the same thing. I understand how the internet works and how people respond to others…
You should frame this as a reminder to be more charitable in your positions because sometimes you can be wrong. This subthread ended being one of the funniest I've read recently.
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#193> Every weight tensor in Rio is, to thousands of standard deviations, the same 0.6/0.4 blend of Nex and Qwen — across all 60 layers and every component of the network. Other finetunes cannot be explained as interpolations. I find it amazing how robust the current deep learning models are. A simple linear combination of every weight did not degrade the performance of the model, but enhanced it.
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#194Can someone please explain or link to some information about how models are merged? Is this genuinely merging weights mathematically or some kind of distillation (presumably not if they’ve done zero training as the post suggests).
Model A: A_1, …, A_n Model B: B_1, …, B_n
C_i = A_i * p + B_i * (1 - p)
In other words, it’s just a linear combination of the other models’ weights, per position.
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#195> Every weight tensor in Rio is, to thousands of standard deviations, the same 0.6/0.4 blend of Nex and Qwen — across all 60 layers and every component of the network. Other finetunes cannot be explained as interpolations. I find it amazing how robust the current deep learning models are. A simple linear combination of every weight did not degrade the performance of the model, but enhanced it.
it's interesting that this was even guessed at
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#196Earlier quoted context omitted.
> 2. The improvement would come from merging the weights PLUS on-policy distillation. The confusion is that the uploaded model didn't have the distillation at all. They merged the base model with another lab’s fine tuned model. The improvements could have come from getting some of the fine tuned weights from the other model. If they really had a better performing model that they “accidentally” forgot to upload, they…
Seems they did https://news.ycombinator.com/item?id=48529544
I am willing to give them the benefit of the doubt, but we've seen this before: a model gets released that is supposedly state-of-the-art, yet seems to be a an other repackaged model without any training. Reflection 70B was the most similar example, all they now need is an api that rewrites "Claude" to "Rio".
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#197Can anyone explain to me what a merge is and why that works? It seems utterly bizarre to me that you can just merge weights. You can't make a working program by just merging machine instruction pages. Aren't weights tightly coupled to a specific architecture?
I'm not an expert in this area, but it's not too hard to see how a merge like that could turn out ok.
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#198One funny thing about incompetence is that they don't have the competence to know that their incompetence is straightforward to verify by a competent person.
I wouldn’t describe what happened here as incompetence. As a “carioca”, I am pleasantly surprised to know that the government’s IT department is involved in AI work — even without the budget to create its own models from scratch.
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#199Earlier quoted context omitted.
The allegation here is that it's not actually a fine-tune of Qwen, but instead an undisclosed mashup (merge) of someone else's fine-tune of Qwen and the original model. Rio subsequently said that the model was in fact a merge, that they did additional fine-tuning after the merge, and that they accidentally uploaded the base merge instead of the version with additional fine-tuning. But this seems like quite an oversig…
> But this seems like quite an oversight... Not to me, what would people like to happen? Who are those people? And why do they care?
> why do they care?
Why does anyone ever care about having their time wasted by fraudulent claims?
Re: Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
#200[flagged]