Ollama Library · nomic-bert
Can I run nomic-embed-text?
A high-performing open embedding model with a large token context window.
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 contextnomic-embed-text 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 |
|---|---|---|---|
| nomic-embed-text:137m-v1.5-fp16137M parameters (tag)2K documented maximum contextThe displayed memory scenario exceeds this build's supported context.Build sourceCatalog checked 2026-10-13 | F16 | 0.3 GB | ~0.9 GB |
Showing the 1 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 nomic-embed-text locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull nomic-embed-text:137m-v1.5-fp16 - 3.Use the Ollama embedding API with this tag. Embedding vectors are used for search and retrieval; this is not a chat model.
Frequently asked questions about nomic-embed-text
- How much VRAM do I need to run nomic-embed-text?
- At 4K context, the smallest published build of nomic-embed-text (F16) needs roughly 0.9 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 nomic-embed-text without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 0.9 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 nomic-embed-text download?
- The smallest published build is 0.3 GB. Leave some extra free disk space beyond the download itself.
- How do I run nomic-embed-text locally?
- Install Ollama, then download a specific build with "ollama pull nomic-embed-text:137m-v1.5-fp16". This is an embedding model: use the embedding API with a supported client, not an interactive chat prompt.
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Model data from the official Ollama registry · verified 13/10/2026