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auto_quant

google-ai-edge/LiteRTSkill

Systematically explore quantization configurations for a TFLite model using the LiteRT Quantizer API, finding the optimal recipe that balances file size and accuracy. Use this skill whenever the user wants to quantize a model, optimize a recipe, explore quantization tradeoffs, minimize size bounds, or perform selective quantization using LiteRT Quantizer framework. Applies to any model scale and modality: CNNs, segmentation nets, classifiers, embedding models, audio models, and LLMs.

ScannedSkillSource: GitHub
3,501 stars +16 this week Updated 16d ago License Apache-2.0 Context ≈125 tokens always loaded
80popular

Why this score

Stars21/35
Usage (forks)9/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 3 skills, so its 3,501 stars are split between them (about 1,167 each) for scoring.

Popularity score: 80/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit fdc20d459d9c, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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