Harry8654/needle3

text-generation model by Harry8654

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A foundation model for mobiles, wearables, robots, smart home, automotive and microcontrollers. The whole model is a single 8-29 MB file, and we trade general chat capacity to beat models 10x its size on mobile tool calls and match 2-3x bigger models on extraction. Needle does three jobs, all of them on the device: Needle 3 is a Laddered Simple Attention Network, our small-model recipe: a Monarch Hadamard MLP in place of the FFN, GQA attention with causal conv taps, engram n-gram memory read by gather, and multi-lane hyper-connections, trained so that every depth from 2 to 20 layers is a deployable model. Most of its parameters sit in the engram, so the 121M model does the arithmetic of a 50M one. The weights are compressed to CQ2-bit with Cactus Quants; a byte-level grammar compiled from your schemas constrains every token, and every response carries a calibrated confidence score from…

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Model overview

Harry8654/needle3 is a text-generation model repository published by Harry8654 on Hugging Face. The source reports the cactus-needle library.

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Model facts

Task
text-generation
Library
cactus-needle
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
NeedleForToolCalling
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-20T06:20:23.000Z
Last modified
2026-09-20T06:20:24.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-20T06:35:52.874Z. Daily imports are snapshots, not real-time monitoring.

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