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Chapter 2. Validated models for use with IBM Power and IBM Spyre AI accelerators
The following large language models are supported for IBM Power systems with IBM Spyre AI accelerators.
IBM Spyre AI accelerator cards support FP16 format model weights only. For compatible models, the Red Hat AI Inference Server inference engine automatically converts weights to FP16 at startup. No additional configuration is needed.
| Model | Hugging Face model card |
|---|---|
| granite-3.3-8b-instruct | |
| granite-embedding-125m-english | |
| granite-embedding-278m-multilingual |
Pre-built IBM Granite models run with the specific Python packages that are included in the Red Hat AI Inference Server Spyre container image. The models are tied to fixed configurations for Spyre card count, batch size, and input/output context sizes.
Updating or replacing Python packages in the Red Hat AI Inference Server Spyre container image is not supported.
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