Forked from google/gemma-3-270m
README
Smallest model of the Gemma 3 family, optimized for on-device use.
Gemma 3 models are well-suited for a variety of text generation understanding tasks, including question answering, summarization, and reasoning.
Supports a context length of 32k tokens.
Q4_0 Quantization Aware Training (QAT) variants preserve similar quality to the full precision model, while significantly reducing the resources required to run it.
Sources
The underlying model files this model uses
Based on
GGUF
