LFM2.5-ColBERT-350M is presented as a compact, reliable smart tool selector: when given 151 available tools it repeatedly returns the five most relevant choices for a prompt. The author reports this focused selection saves tokens and improves accuracy, and proposes the model as a candidate component for agentic or edge model stacks (video demonstration attached).
LFM2.5-ColBERT-350M (author @maximelabonne) was evaluated with a catalog of 151 tools and consistently surfaced the 5 most relevant tools for user prompts.
LFM2.5-ColBERT-350M is a surprisingly reliable smart tool selector.
We gave it 151 tools, and it consistently surfaces the 5 most relevant ones based on the user prompt.
This saves tokens and improves accuracy. Ideal for hmmmm agentic edge models? 👀
Video