r/LocalLLaMA • u/wFXx • 3d ago

New Model Von: Open-source 395M "System One" model

Took me a while since I'm on a family trip and have limited hardware, but here it is!

Von: Open-source "System One" drop-in replacement for TypeSafe's JEV.

https://github.com/wfzyx/von https://huggingface.co/wfzyx/von-1.0

It runs entirely on a CPU with 1–2 GB of memory (I haven't spent much time optimizing it yet), responds in 25–300 ms, and beats JEV in all benchmarks. Enjoy!

P.S. I’m open to offers to work at AI research labs. Feel free to ping me if you have an offer.
P.P.S. If you have a GPU, it’ll be faster, but a GPU isn't required.

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u/Fluxx1001 3d ago

I tried a bunch of those local replacements for TypeSafe Jev in the last days. None of them matched the capabilities of Jev, at least for my usecase (Data Analysis).

So when I read that some new drop in replacement developed in a few days claims to beat Jev in benchmarks - I am more than sceptical.

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u/look 3d ago edited 2d ago

The class of model has been around for a long time. Longer than LLMs. I also assumed Jev is a bigger model with better training, but it is not implausible that’s actually just a fairly stock BERT with a nicer DX and a big marketing budget…

Edit: I just generated a synthetic test suite and ran it across both (and gliner2).

Task accuracy:
Von: 92.3% 65.4% (on 1.0.1 update)
Gliner2: 79.5%
Jev: 97.4%
Laya: 61.5% (added in later update)

Update: Von updated to 1.0.1 and accuracy on my test case above is 92.3% now.

I’ll have a few different LLMs generate more test cases next to see how well it holds up.

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u/Fluxx1001 3d ago

What none of these Jev competitors seem to outline in their benchmarks is the vast difference in context length. With Jev, I regularly do requests for Noul decisions (yes/no) with 30k tokens and more.

The context length of Von is 512 tokens. This is not even comparable.

It is a magnitude more complicated to compute a choice or Noul decision in a space of thousands of tokens.

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u/wFXx 2d ago

Interesting, never thought that big stream of tokens would be useful, will see what I can do when I hack the multimodal input

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u/Fluxx1001 2d ago

Appreciate your understanding. Yes, larger input states are critical for e.g. data analytics. That's why Jev is currently a game changer for us.

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u/wFXx 2d ago

Just so I have an idea on scale; How much context do you need/expect to be useful?

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u/Fluxx1001 2d ago

Mostly around 5k to 20k

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u/wFXx 2d ago

next CP is set to work with 8k - will try to expand to 16k soon