generative-computing / granite-switch
Granite Switch — Build AI models like you build software
Why this job: topics: llm-inference, vllm

What it does
- Composable. Combine independently developed adapter functions into one checkpoint, whether IBM's or yours. Swap, upgrade, or customize without retraining.
- Fast. Built on IBM's Activated LoRA technology for efficient KV cache reuse, low latency, and high inference throughput.
- Accurate. Task-specific adapter functions can match and even surpass the accuracy of significantly larger generalist models, while requiring only a fraction of the serving cost. See the adapter function catalog for benchmark comparisons ac
- Inference-ready. Deploy with vLLM for production or HuggingFace for prototyping. Same checkpoint, no conversion step.
Get started
pip install "granite-switch[vllm]"- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 120
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 78% of the code
Is it looked after?
- Contributors
- 9
- Last 90 days
- Issues
- 38% closed
- 29 still open
- Pull requests
- 73 merged
- 17 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 78%
- HTML 14%
- Jupyter Notebook 8%
- Jinja <1%
Topics
- generative-computing
- llm-inference
- llms
- transformers
- vllm
Project record
- JobLocal LLMs
- StatusListed
- Commits85
- Forks23
- Watching5
- Stars in 28 days+23
- CreatedMay 4, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
