Simple Attention Networks
AssessTechniques
The attention-based architecture approach underlying Needle.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hacker News·8/10/2026model_releaseNeedle 2: a 14MB agentic LLM for edge devices
Cactus released Needle 2, a compact 14MB agentic LLM designed for tool use, structured extraction, and device control on phones, wearables, smart home devices, microcontrollers, and small robots. The model uses 45M parameters at 2-bit compression, claims very high token throughput on edge hardware, and can be fine-tuned locally with a Python package and automated data generation pipeline.