Ollama Library · gemma3
Can I run translategemma?
A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.
Parameter counts and memory belong to each build below. A family can contain several sizes and tasks; fitting in memory is not a quality ranking.
Calculate memory for a build and contexttranslategemma system requirements
Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.
| Build | Quantization | Download | Memory needed |
|---|---|---|---|
| translategemma:4b4B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 3.1 GB | ~4.2 GB |
| translategemma:4b-it-q8_04B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 4.6 GB | ~5.9 GB |
| translategemma:12b12B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 7.6 GB | ~10.0 GB |
| translategemma:12b-it-q8_012B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 12.4 GB | ~15.3 GB |
| translategemma:27b27B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 16.2 GB | ~19.8 GB |
| translategemma:27b-it-q8_027B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 27.5 GB | ~32.0 GB |
Showing the 6 smallest non-alias builds. Choose any build and change the context. A context above the build's documented maximum is a hypothetical calculation, not a supported setting.
How to run translategemma locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull translategemma:4b - 3.Check the source for the build's task. For text generation, run
ollama run translategemma:4b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about translategemma
- How much VRAM do I need to run translategemma?
- At 4K context, the smallest published build of translategemma (Q4_K_M) needs roughly 4.2 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
- Can I run translategemma without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 4.2 GB at 4K context, plus headroom for your operating system. Check the build's runtime requirements. We have not measured its speed on your CPU.
- How big is the translategemma download?
- The smallest published build is 3.1 GB. There are 6 builds in total, the largest being 27.5 GB. Leave some extra free disk space beyond the download itself.
- How do I run translategemma locally?
- Install Ollama, then download a specific build with "ollama pull translategemma:4b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.
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Model data from the official Ollama registry · verified 13/10/2026