Quick start
ollama run functiongemma:latestRunnable variants
Memory is a rough file-size estimate; context length, runtime and GPU offload change it.
4 of 4 matching variants shown.4 of 4 variants shown.
| Tag | Type | Inputs | Digest | Download | Parameters | Quantization | Context | Est. memory | Run |
|---|---|---|---|---|---|---|---|---|---|
| 270m | Typelocal | Inputstext | Digest7c19b650567a | Download301 MB | Parameters270m | QuantizationUnknown | Context32K | Est. memory≈ 1.5 GB | ollama run functiongemma:270m |
| 270m-it-fp16 | Typelocal | Inputstext | Digestce6e8a1097cd | Download552 MB | Parameters270m | QuantizationFP16 | Context32K | Est. memory≈ 2 GB | ollama run functiongemma:270m-it-fp16 |
| 270m-it-q8_0 | Typelocal | Inputstext | Digest7c19b650567a | Download301 MB | Parameters270m | QuantizationQ8_0 | Context32K | Est. memory≈ 1.5 GB | ollama run functiongemma:270m-it-q8_0 |
| latestdefault | Typelocal | Inputstext | Digest7c19b650567a | Download301 MB | ParametersUnknown | QuantizationUnknown | Context32K | Est. memory≈ 1.5 GB | ollama run functiongemma:latest |
Related models
qwen2.5local
Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
qwen2.5-coderlocal
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.
qwen2local
Qwen2 is a new series of large language models from Alibaba group
granite4local
Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.