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> Korea EXAONE from LG AI Research https://huggingface.co/LGAI-EXAONE https://huggingface.co/LGAI-EXAONE They had one of the best small models a few months ag

> Korea EXAONE from LG AI Research https://huggingface.co/LGAI-EXAONE https://huggingface.co/LGAI-EXAONE They had one of the best small models a few months ago and they released a new model just last week. There's also HyperCLOVA X (haven't tested it, but maybe it is also good) https://huggingface.co/naver-hyperclovax https://huggingface.co/naver-hyperclovax > India India has the Sarvam model series, which admittedly are not SotA, but they have pretty good voice capabilities https://huggingface.co/sarvamai https://huggingface.co/sarvamai The UAE (not part of the list above) also has a few noteworthy models: https://huggingface.co/tiiuae https://huggingface.co/tiiuae

deaux 6mo ago
I'm familiar with those models. They're nowhere near competitive. Miles away from Mistral or (obviously) Chinese models. > (haven't tested it, but maybe it is also good) I have. It is not.
- johndough 6mo ago
  You mentioned "pareto-competitive", and EXAONE certainly was that. The statement that the "above countries have never had a model that is even close to being so" is simply too broad.
  - deaux 6mo ago
    You're talking about EXAONE 4.5 33B? Gemma 4 31B was released 1 week earlier and blows it out of the water. Which point in time/model size are you possibly talking about? The original K-EXAONE in January? More than anything the availability speaks for itself. If it was indeed pareto competitive, all dozens of model providers would be doing their best to offer it for serverless inference. They don't. There's maybe one that does. Do you think a lot of companies wouldn't prefer a Korean model over a Chinese one? In this case, the market speaks. Go talk to people who run business based on putting billions or trillions of tokens through open weights models. And how much time they put into optimization of model selection to save money and latency. And ask why none of them are using EXAONE models. It's not because we're not aware of their existence. There's also reason to believe they've been benchmaxxing more than Chinese models, btw. Have you done the vibecheck? I wish they were strong, I hope that in the future, they are. More diversity is better. So far they have not yet been a serious option at any point.
cyanydeez 6mo ago
they should ask unsloth to follow them. For my usecases locally w/128GB, Qwen3.5-Coder-Next is SOTA.

deaux 6mo ago

I'm familiar with those models. They're nowhere near competitive. Miles away from Mistral or (obviously) Chinese models. > (haven't tested it, but maybe it is also good) I have. It is not.

johndough 6mo ago
You mentioned "pareto-competitive", and EXAONE certainly was that. The statement that the "above countries have never had a model that is even close to being so" is simply too broad.
- deaux 6mo ago
  You're talking about EXAONE 4.5 33B? Gemma 4 31B was released 1 week earlier and blows it out of the water. Which point in time/model size are you possibly talking about? The original K-EXAONE in January? More than anything the availability speaks for itself. If it was indeed pareto competitive, all dozens of model providers would be doing their best to offer it for serverless inference. They don't. There's maybe one that does. Do you think a lot of companies wouldn't prefer a Korean model over a Chinese one? In this case, the market speaks. Go talk to people who run business based on putting billions or trillions of tokens through open weights models. And how much time they put into optimization of model selection to save money and latency. And ask why none of them are using EXAONE models. It's not because we're not aware of their existence. There's also reason to believe they've been benchmaxxing more than Chinese models, btw. Have you done the vibecheck? I wish they were strong, I hope that in the future, they are. More diversity is better. So far they have not yet been a serious option at any point.

cyanydeez 6mo ago

they should ask unsloth to follow them. For my usecases locally w/128GB, Qwen3.5-Coder-Next is SOTA.