11–20 of 165 posts
Is "Parameter Creep" going to becomes a thing? They hold up Llama-8b as a competitor despite NeMo having 50% more parameters. The same thing happened with gemma-27b, where they compared it to all the 7-9b models. It seems like an easy way to boost benchmarks while coming off as "small" at first glance.
open-mistral-7b is 25c/m tokens open-mistral-nemo-2407 is 30c/m tokens
> Today, we are excited to release Mistral NeMo, a 12B model built in collaboration with NVIDIA. Mistral NeMo offers a large context window of up to 128k tokens. Its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category. As it relies on standard architecture, Mistral NeMo is easy to use and a drop-in replacement in any system using Mistral 7B. > We have released pre-trained base an…
EDIT: This a 1W light bulb moment for me, thank you!
Does it have any relation to Nvidia's Nemo? Otherwise, it's unfortunate naming
Pardon me if this is a dumb question, but is it possible for me to download these models into my computer (I have a 1080ti and a [2|3]070ti) and generate some sort of api interface? That way I can write programs that calls this API, and I find this appealing. EDIT: This a 1W light bulb moment for me, thank you!
1) Anyone have any idea of VRAM requirements?
2) When will this be available on ollama?
Pardon me if this is a dumb question, but is it possible for me to download these models into my computer (I have a 1080ti and a [2|3]070ti) and generate some sort of api interface? That way I can write programs that calls this API, and I find this appealing. EDIT: This a 1W light bulb moment for me, thank you!
Perhaps it's just confirmation bias, but programming really does seem to be the ideal usecase for LLMs in a way that other professions just haven't been able to crack. Compared to other types of work, it's relatively more straight forward to tell if code is "correct" or not.