Are AIs collectively shifting away from chat-only models? Needle 3 focuses solely on tool calling, and runs on as little as 9MB.
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Beating AI Express News: Y Combinator (YC) S25 edge AI startup Cactus Compute has launched Needle 3, a model focused on tool calling and structured extraction rather than general chat. For instance, when a user says "Set the living room light to 30%", Needle 3 only needs to locate the corresponding function and input "living room" and "30%" into the parameters. It is similar to the recently popular Jev but takes a different approach: Jev directly scores candidate decisions, while Needle 3 still generates outputs token-by-token, with its outputs restricted to executable tool calls. Needle 3’s single set of weights can be pruned to 2 to 20 layers. The 2-layer version is approximately 9MB, and the full 20-layer version is about 35MB, allowing selection based on the computing power of different devices such as smartwatches, Raspberry Pi, and mobile phones. After being fine-tuned specifically for Android operation commands, the 4-layer, 29-million-parameter version achieved a self-test score of 62.5, outperforming DeepSeek V4 Flash’s score of 60.5.
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