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
The problem with 70B is that it is incrementally better than smaller models, but is still nowhere near competitive with GPT-4, so it is stuck in no man’s land.
Once we finally get an open source model or architecture that can spar even with GPT-4, let alone 5, there will be much more interest in large models.
Regarding Falcon Chat 180B, it’s no better in my tests and for my use cases than fine tuned Llama 2 70B, which is a shame. It makes me think that there is something fundamentally wrong with Falcon, besides the laughably small context window.