Ollama Library · phi3
Can I run nuextract?
A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.
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 contextnuextract 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 |
|---|---|---|---|
| nuextract:3.8b3.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 2.0 GB | ~4.1 GB |
| nuextract:3.8b-q4_K_M3.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 2.2 GB | ~4.3 GB |
| nuextract:3.8b-q5_K_M3.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 2.6 GB | ~4.7 GB |
| nuextract:3.8b-q6_K3.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 2.9 GB | ~5.0 GB |
| nuextract:3.8b-q8_03.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 3.8 GB | ~6.0 GB |
| nuextract:3.8b-fp163.8B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 7.1 GB | ~9.6 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 nuextract locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull nuextract:3.8b - 3.Check the source for the build's task. For text generation, run
ollama run nuextract:3.8b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about nuextract
- How much VRAM do I need to run nuextract?
- At 4K context, the smallest published build of nuextract (Q4_0) needs roughly 4.1 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 nuextract without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 4.1 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 nuextract download?
- The smallest published build is 2.0 GB. There are 6 builds in total, the largest being 7.1 GB. Leave some extra free disk space beyond the download itself.
- How do I run nuextract locally?
- Install Ollama, then download a specific build with "ollama pull nuextract:3.8b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.
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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