zeromodels / gemma-3-1b-it

huggingface.co
Total runs: 3.9K
24-hour runs: 0
7-day runs: -204
30-day runs: -198
Model's Last Updated: August 27 2026
text-generation

Introduction of gemma-3-1b-it

Model Details of gemma-3-1b-it

See our collection for all Gemma 3 sizes and variants.

Run Gemma 3 with Keras 3: JAX, PyTorch, or TensorFlow

GitHub Docs HuggingFace

zeromodels/gemma-3-1b-it

Pure- Keras 3 conversion of google/gemma-3-1b-it for zeromodels . One implementation runs unmodified on TensorFlow / Torch / JAX . This is the instruction-tuned checkpoint, served here as text -> text via Gemma3TextGenerate ; weights are stored in bfloat16 .

For model details, license, and usage terms, see Google's model card .

✨ Quick start
import os
os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"

from zeromodels.models.gemma3 import Gemma3TextGenerate, Gemma3Tokenizer

model = Gemma3TextGenerate.from_weights("zeromodels/gemma-3-1b-it")
tokenizer = Gemma3Tokenizer.from_weights("zeromodels/gemma-3-1b-it")

inputs = tokenizer([{"role": "user", "content": "Hello, who are you?"}])
outputs = model.generate(**inputs, max_new_tokens=64)
print(tokenizer.decode(outputs[0]))

Load any Gemma 3 variant the same way with from_weights("zeromodels/<variant>") :

Tips
  • Set KERAS_BACKEND before importing Keras / zeromodels.
  • Loads in bfloat16 by default. Pass load_dtype="float32" for full precision, or quantization="int8" to shrink further.
  • See the Gemma 3 docs .
  • Community / upstream weights still work via the hf: prefix: Gemma3TextGenerate.from_weights("hf:google/gemma-3-1b-it") .
Special Thanks

A huge thank you to the Google Gemma authors for creating and releasing these models.

License: Gemma (gated). Accept the license on the upstream Hub card before downloading.

Runs of zeromodels gemma-3-1b-it on huggingface.co

3.9K
Total runs
0
24-hour runs
0
3-day runs
-204
7-day runs
-198
30-day runs

More Information About gemma-3-1b-it huggingface.co Model

More gemma-3-1b-it license Visit here:

https://choosealicense.com/licenses/gemma

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https://huggingface.co/zeromodels/gemma-3-1b-it

gemma-3-1b-it install

gemma-3-1b-it is an open source model from GitHub that offers a free installation service, and any user can find gemma-3-1b-it on GitHub to install. At the same time, huggingface.co provides the effect of gemma-3-1b-it install, users can directly use gemma-3-1b-it installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

gemma-3-1b-it install url in huggingface.co:

https://huggingface.co/zeromodels/gemma-3-1b-it

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