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FunctionGemma-270M-CoreML-INT8-FP32-Stateful
aufklarer/FunctionGemma-270M-CoreML-INT8-FP32-Stateful
FunctionGemma-270M-CoreML-INT8-FP32-Stateful is a machine learning model from aufklarer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for coreml. The card lists the license as gemma.
CoreML ML Program export of google/functiongemma-270m-it for on-device function calling.
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At a glance
- Library
- coreml
- License
- gemma
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- 8f0e8e7e
Model card
From the Hugging Face model README
FunctionGemma 270M CoreML Stateful INT8
CoreML ML Program export of
google/functiongemma-270m-it
for on-device function calling.
- INT8 linear weights, FP32 compute
- 256-token K/V cache stored as CoreML
MLState - Fixed specializations for 128-token padded prefill and 1-token decoding
- Requires iOS 18 / macOS 15 or newer
The model uses FunctionGemma's compact function-call syntax. Parse and validate the generated call against an application-side allowlist before executing any tool.
Contents
FunctionGemmaStatefulDecoder.mlpackage: CoreML model packageconfig.json: runtime input and cache metadatatokenizer.json,tokenizer_config.json,chat_template.jinja: tokenizer assets
Validation
The export has been verified with an end-to-end weather tool call and a second-pass user-facing response after the tool result.
Runtime
Use the FunctionGemmaCoreMLStateful runtime in this repository's export
directory. It performs a padded 128-token prefill followed by one-token decode
calls, preserving MLState between invocations.
- Library
- coreml
- License
- gemma
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026