[Feature] PrismML Bonsai 8B: the real Smol model :-)

[mindplay-dk]

This looks incredible:

https://prismml.com/news/bonsai-8b

This should be the perfect model for phones - Qwen 3 level intelligence with 1 GB of RAM at 5x higher speeds.

As you can see, they have the 8B model running on iPhone at very reasonable speeds.

They have a modified llama.cpp that supports it:

https://github.com/ggml-org/llama.cpp

Whitepaper here:

https://github.com/PrismML-Eng/Bonsai-demo/blob/main/1-bit-bonsai-8b-whitepaper.pdf

It's already available in AnythingLLM:

https://github.com/Mintplex-Labs/anything-llm

This could be the perfect model for phones - if it could work with this app, it might even make sense as a default, perhaps with options to use the even smaller models, which they've also released.

It would be amazing if this app was the first to ship this model to Android users. 😄

[shubham0204]

@mindplay-dk I tried running this model but the app crashes when trying to read the context length of the model from the GGUF metadata. I am currently checking this issue.

[mindplay-dk]

Their llama.cpp fork is very actively in development - it might be a little while before this is stable and reliable. 🙂

[pal404error]

shubham0204, respect the work on SmolChat-Android. We built ModelRank, an independent leaderboard for open models. Free embeddable badges, 5-dimension scoring, zero paid placements. Want SmolChat-Android ranked and listed? It is a one-line badge in your README (https://rankmodel.github.io). Appreciate you building in the open.