Allen Institute for AI · llama
Can I run tulu3?
Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.
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 contexttulu3 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 |
|---|---|---|---|
| tulu3:8b8B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 4.6 GB | ~5.8 GB |
| tulu3:8b-q8_08B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 8.0 GB | ~9.5 GB |
| tulu3:8b-fp168B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 15.0 GB | ~17.1 GB |
| tulu3:70b70B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 39.6 GB | ~44.4 GB |
| tulu3:70b-q8_070B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 69.8 GB | ~77.1 GB |
| tulu3:70b-fp1670B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 131.4 GB | ~143.6 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 tulu3 locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull tulu3:8b - 3.Check the source for the build's task. For text generation, run
ollama run tulu3:8b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about tulu3
- How much VRAM do I need to run tulu3?
- At 4K context, the smallest published build of tulu3 (Q4_K_M) needs roughly 5.8 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 tulu3 without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 5.8 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 tulu3 download?
- The smallest published build is 4.6 GB. There are 6 builds in total, the largest being 131.4 GB. Leave some extra free disk space beyond the download itself.
- How do I run tulu3 locally?
- Install Ollama, then download a specific build with "ollama pull tulu3:8b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.
Will tulu3 run on your PC?
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Or start from your memory: 8 GB VRAM, 12 GB VRAM, 16 GB VRAM, 24 GB VRAM or a 16 GB Mac.
Model data from the official Ollama registry · verified 13/10/2026