Instructions to use KerasFormers/qwen3-1.7b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KerasFormers/qwen3-1.7b-base 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/qwen3-1.7b-base") - Notebooks
- Google Colab
- Kaggle
qwen3-1.7b-base (Keras 3, bf16)
Pure-Keras 3 conversion of Qwen/Qwen3-1.7B-Base for kerasformers. Apache 2.0.
This repo holds the converted model weights and tokenizer.json.
from kerasformers.models.qwen3 import Qwen3Generate, Qwen3Tokenizer
model = Qwen3Generate.from_weights("qwen3-1.7b-base")
tokenizer = Qwen3Tokenizer.from_weights("qwen3-1.7b-base")
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for KerasFormers/qwen3-1.7b-base
Base model
Qwen/Qwen3-1.7B-Base