We beat Gemini Embedding 2 by training only 16M params (open weights)
Feature Extraction model with 16.4M parameters. Download, explore files and run it on Hugging Face.

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Gemini can now natively embed video
github.comso I built sub-second video search
Needle
github.comWe Distilled Gemini Tool Calling into a 26M Model
Marlin-2B
huggingface.coa tiny VLM to extract structured information from videos
Inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I used Claude, Claude Code, and OpenRouter to get SVGs from six models for thirty similar prompts.
Linear RNN/Reservoir hybrid generative model
raw.githubusercontent.comone C file (no deps.)