Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots
What changed
Count budget phones, Raspberry Pis, microcontrollers, wearables, small robots like Reachy Mini, and connected home devices, and roughly four in five edge devices cost under $200. That is the hardware Needle targets: no GPU, no NPU, a few hundred MB of RAM. Baselines run the released checkpoints under vLLM at full context, and Apple FM runs on-device.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
- A $500 RL fine-tune of a 9B open model beat frontier models on catalog review
- Show HN: Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it
Sources
- Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots (hn-frontpage)primary