Instructions to use kerasformers/qwen3-30b-a3b-instruct-2507 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/qwen3-30b-a3b-instruct-2507 with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/qwen3-30b-a3b-instruct-2507 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/qwen3-30b-a3b-instruct-2507") - Notebooks
- Google Colab
- Kaggle
qwen3-30b-a3b-instruct-2507 (Keras 3, bf16)
Pure-Keras 3 conversion of Qwen/Qwen3-30B-A3B-Instruct-2507 for kerasformers. Apache 2.0.
This repo holds the converted model weights and tokenizer.json.
from kerasformers.models.qwen3_moe import Qwen3MoeGenerate, Qwen3MoeTokenizer
model = Qwen3MoeGenerate.from_weights("qwen3-30b-a3b-instruct-2507")
tokenizer = Qwen3MoeTokenizer.from_weights("qwen3-30b-a3b-instruct-2507")
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Qwen/Qwen3-30B-A3B-Instruct-2507