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qwen3-8b

Text Generation
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qwen3
qwen3-dense
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  1. .gitattributes +36 -0
  2. README.md +71 -0
  3. kf_config.json +23 -0
  4. model.weights.json +1204 -0
  5. model_00000.weights.h5 +3 -0
  6. model_00001.weights.h5 +3 -0
  7. model_00002.weights.h5 +3 -0
  8. model_00003.weights.h5 +3 -0
  9. tokenizer.json +3 -0
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README.md ADDED
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+ ---
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+ pipeline_tag: text-generation
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+ license: apache-2.0
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+ base_model: Qwen/Qwen3-8B
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+ library_name: kerasformers
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+ language:
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+ - en
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+ tags:
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+ - keras
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+ - kerasformers
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+ - qwen3
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+ - qwen3-dense
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+ - text-generation
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+ - pytorch
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+ - jax
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+ - tf
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+ ---
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+
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+ # Run Qwen3 with Keras 3: JAX, PyTorch, or TensorFlow
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+
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+ [![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-181717?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-Qwen3-1f6feb)](https://imvision12.github.io/KerasFormers/qwen3/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Qwen3-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/collections/kerasformers/qwen3-6a7d3fcc4e56b32e86f5b2c4)
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+
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+ # kerasformers/qwen3-8b
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+
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+ Pure-**Keras 3** conversion of [`Qwen/Qwen3-8B`](https://huggingface.co/Qwen/Qwen3-8B) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**. This is a **dense** Qwen3; weights are stored in **bfloat16**.
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+
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+ For model details, license, and usage terms, see the upstream [model card](https://huggingface.co/Qwen/Qwen3-8B).
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+
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+ Paper: [Qwen3 Technical Report (arXiv:2505.09388)](https://arxiv.org/abs/2505.09388) · [HF Papers](https://huggingface.co/papers/2505.09388)
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+
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+ Paper: [YaRN: Efficient Context Window Extension of Large Language Models (arXiv:2309.00071)](https://arxiv.org/abs/2309.00071) · [HF Papers](https://huggingface.co/papers/2309.00071)
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+
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+ ## ✨ Quick start
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+
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+ ```python
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+ import os
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+ os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
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+
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+ from kerasformers.models.qwen3 import Qwen3TextGenerate, Qwen3Tokenizer
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+
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+ model = Qwen3TextGenerate.from_weights("kerasformers/qwen3-8b")
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+ tokenizer = Qwen3Tokenizer.from_weights("kerasformers/qwen3-8b")
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+
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+ inputs = tokenizer("Give me a short introduction to large language models.")
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+ outputs = model.generate(**inputs, max_new_tokens=128)
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+ print(tokenizer.decode(outputs[0]))
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+ ```
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+
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+ Load any Qwen3 variant the same way with `from_weights("kerasformers/<variant>")`:
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+
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+ | Variant | Hub |
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+ | --- | --- |
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+ | `qwen3-0.6b` | [kerasformers/qwen3-0.6b](https://huggingface.co/kerasformers/qwen3-0.6b) |
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+ | `qwen3-0.6b-base` | [kerasformers/qwen3-0.6b-base](https://huggingface.co/kerasformers/qwen3-0.6b-base) |
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+ | `qwen3-1.7b` | [kerasformers/qwen3-1.7b](https://huggingface.co/kerasformers/qwen3-1.7b) |
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+ | `qwen3-1.7b-base` | [kerasformers/qwen3-1.7b-base](https://huggingface.co/kerasformers/qwen3-1.7b-base) |
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+ | `qwen3-4b` | [kerasformers/qwen3-4b](https://huggingface.co/kerasformers/qwen3-4b) |
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+ | `qwen3-4b-base` | [kerasformers/qwen3-4b-base](https://huggingface.co/kerasformers/qwen3-4b-base) |
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+ | `qwen3-8b` | [kerasformers/qwen3-8b](https://huggingface.co/kerasformers/qwen3-8b) |
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+ | `qwen3-8b-base` | [kerasformers/qwen3-8b-base](https://huggingface.co/kerasformers/qwen3-8b-base) |
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+ | `qwen3-14b` | [kerasformers/qwen3-14b](https://huggingface.co/kerasformers/qwen3-14b) |
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+ | `qwen3-14b-base` | [kerasformers/qwen3-14b-base](https://huggingface.co/kerasformers/qwen3-14b-base) |
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+ | `qwen3-32b` | [kerasformers/qwen3-32b](https://huggingface.co/kerasformers/qwen3-32b) |
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+ | `qwen3-30b-a3b` | [kerasformers/qwen3-30b-a3b](https://huggingface.co/kerasformers/qwen3-30b-a3b) |
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+ | `qwen3-30b-a3b-instruct-2507` | [kerasformers/qwen3-30b-a3b-instruct-2507](https://huggingface.co/kerasformers/qwen3-30b-a3b-instruct-2507) |
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+
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+ ## Special Thanks
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+
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+ A huge thank you to the Qwen team at Alibaba for creating and releasing these models.
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+
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+ License: Apache 2.0.
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+ }
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+ }
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