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kerasformers/
qwen3-30b-a3b

Name: qwen3-30b-a3b
Availability: InStock

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Run Qwen3 with Keras 3: JAX, PyTorch, or TensorFlow

GitHub

HuggingFace

zeromodels/qwen3-30b-a3b

Pure-Keras 3 conversion of Qwen/Qwen3-30B-A3B for zeromodels. One implementation runs unmodified on TensorFlow / Torch / JAX. This is a Mixture-of-Experts Qwen3; weights are stored in bfloat16.

For model details, license, and usage terms, see the upstream model card.

Paper: Qwen3 Technical Report (arXiv:2505.09388) · HF Papers

Paper: YaRN: Efficient Context Window Extension of Large Language Models (arXiv:2309.00071) · HF Papers

✨ Quick start

python

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

from zeromodels.models.qwen3_moe import Qwen3MoeTextGenerate, Qwen3MoeTokenizer

model = Qwen3MoeTextGenerate.from_weights("zeromodels/qwen3-30b-a3b")
tokenizer = Qwen3MoeTokenizer.from_weights("zeromodels/qwen3-30b-a3b")

inputs = tokenizer("Give me a short introduction to large language models.")
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0]))

Load any Qwen3 variant the same way with from_weights("zeromodels/<variant>"):

Variant	Hub
`qwen3-0.6b`	zeromodels/qwen3-0.6b
`qwen3-0.6b-base`	zeromodels/qwen3-0.6b-base
`qwen3-1.7b`	zeromodels/qwen3-1.7b
`qwen3-1.7b-base`	zeromodels/qwen3-1.7b-base
`qwen3-4b`	zeromodels/qwen3-4b
`qwen3-4b-base`	zeromodels/qwen3-4b-base
`qwen3-8b`	zeromodels/qwen3-8b
`qwen3-8b-base`	zeromodels/qwen3-8b-base
`qwen3-14b`	zeromodels/qwen3-14b
`qwen3-14b-base`	zeromodels/qwen3-14b-base
`qwen3-32b`	zeromodels/qwen3-32b
`qwen3-30b-a3b`	zeromodels/qwen3-30b-a3b
`qwen3-30b-a3b-instruct-2507`	zeromodels/qwen3-30b-a3b-instruct-2507

Special Thanks

A huge thank you to the Qwen team at Alibaba for creating and releasing these models.

License: Apache 2.0.

kerasformers/qwen3-30b-a3b

Run Qwen3 with Keras 3: JAX, PyTorch, or TensorFlow

zeromodels/qwen3-30b-a3b

✨ Quick start

Special Thanks

kerasformers/
qwen3-30b-a3b