Instructions to use latentdivergence/mole-gemma3-1b-q4f16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use latentdivergence/mole-gemma3-1b-q4f16 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'latentdivergence/mole-gemma3-1b-q4f16');
burrow-gemma3-1b-q4f16
A q4f16 ONNX build of onnx-community/gemma-3-1b-it-ONNX, mirrored
as the pinned download source for the Mole AI browser extension.
The weights are byte-identical to the upstream export by onnx-community; nothing was re-quantised or fine-tuned here. This repo exists so the extension depends on a copy that cannot be renamed or deleted out from under its installed users.
Only the files the browser runtime loads are included -- the q4f16 graph plus
tokenizer and config. For every other precision, use the upstream repo.
Use
import { pipeline } from "@huggingface/transformers";
const pipe = await pipeline("text-generation", "latentdivergence/burrow-gemma3-1b-q4f16", {
dtype: "q4f16",
device: "webgpu",
});
Licensed as per the base model.
- Downloads last month
- 10
Model tree for latentdivergence/mole-gemma3-1b-q4f16
Base model
google/gemma-3-1b-pt Finetuned
google/gemma-3-1b-it Quantized
onnx-community/gemma-3-1b-it-ONNX