README.md

metadata

base_model:
  - gg-hf-gm/gemma-3-270m-it
license: gemma
tags:
  - gemma3
  - unsloth
  - gemma
  - google
pipeline_tag: text-generation
library_name: transformers
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: >-
  To access Gemma on Hugging Face, you’re required to review and agree to
  Google’s usage license. To do this, please ensure you’re logged in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

Gemma 3 model card

This repository corresponds to the 270m pre-trained version of the Gemma 3 model using Quantization Aware Training (QAT).

The checkpoint in this repository is unquantized, please make sure to quantize with Q4_0 with your favorite tool

Thanks to QAT, the model is able to preserve similar quality as bfloat16 while significantly reducing the memory requirements to load the model.