There has been a lot of movement around and below the 13b parameter bracket in the last few months but it’s wild to think the best 70b models are still llama2 based. Why is that?
We have 13b models like 8bit bartowski/Orca-2-13b-exl2 approaching or even surpassing the best 70b models now
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Ali opensouced a 72B model called Qwen-72B: Qwen/Qwen-72B · Hugging Face
It supports Chinese and English. The performance on MMLU is remarkable.
Orca still memeing strong.
It’s adorable that you think any 13b model is anywhere close to a 70b llama2 model.
Mistral has already shown that it’s mostly about the data rather than the model. So why waste loads of money and time on training something that no average consumer can run locally?
What do you mean? Someone just posted 100,200 and 600b models and several 120b models have released past couple of weeks.
Those models can’t be accessed, they say it’s “too dangerous to be released”
Who pays for all this training on all these models we see knocking about and I don’t mean the ones released by the big companies? Like who has the resources to train a 70b model? Like one of the guys below said 1.7 million GPU hours for example thats pretty friggin expensive no?