FrontierThe story, in brief
Meet Needle 2: An Open 45M-Parameter Tool-Calling Model That Ships as a 14MB Binary and Runs a Full Session in 28MB of RAM
45M parameters. 14MB binary. Needle 2 runs a full AI session on hardware with zero GPUs—and leads tool-calling benchmarks doing it.
The KeyNews take
Why it matters
A new open-weight model challenges the assumption that capable AI requires scale and silicon. Needle 2's efficiency (sub-30MB RAM, no accelerators) matters for practitioners building on-device, edge, and resource-constrained deployments — and signals a shift in how frontier labs think about capability-per-watt.
The key facts
8 to knowNeedle 2: 45M parameters
Binary size: 14MB
Session RAM footprint: ~28MB
No GPU or NPU required
Leads Seal-Tools benchmark splits
Open-weight release
Vendor: Cactus Compute
Use cases: tool calling, device use, structured extraction
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: Cactus Compute released Needle 2, an open 45M-parameter model for tool calling, device use, and structured extraction. The full model is a single 14MB binary that runs a session in about 28MB of RAM. It leads both Seal-Tools splits while targeting hardware with no GPU and no NPU. The post Meet…