ARahim3/kaggle-tpu-lab
Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Works with Claude Code,
- Stars
- 704
- Forks
- 95
- Open issues
- 13
- Last push
- 16d ago
About kaggle-tpu-lab
kaggle-tpu-lab is a free, open-source AI inference tool by ARahim3, written mainly in Python. Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Works with Claude Code,. It has 704 GitHub stars and 95 forks, and was last updated 16d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 704
- Last update
- 16d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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kaggle-tpu-lab FAQ
Is kaggle-tpu-lab free?
Yes. kaggle-tpu-lab is open source and free to use. It's released under the MIT license, a standard open-source license.
Does kaggle-tpu-lab run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does kaggle-tpu-lab need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is kaggle-tpu-lab still maintained?
Yes. It was last updated 16d ago and has 13 open issues on GitHub.
What are alternatives to kaggle-tpu-lab?
Similar free, open-source tools include vllm, llm-action, TensorRT-LLM, inference.