Motif 2.6B — compact model with long context

Motif 2.6B — compact model with long context

unique: trained on AMD GPUs

focus is on long context & low hallucination rate — imo this is a growing genre of LLM that enables new search patterns

huggingface.co/Motif-Techno...

i think there’s a new form of agentic RAG forming that winnows down huge datasets to find answers. something like:

1. embedding search
2. small long context LLM subagents
3. expensive coordinator LLM agent

i haven’t seen implementations yet, but i don’t see how it’s NOT going to happen

slightly different pattern that’s been frequently implemented — same but replace 2 with SQL or Graphs

but small LC models enable you to go to fully unstructured text