Zhipu AI · chatglm
Can I run codegeex4?
A versatile model for AI software development scenarios, including code completion.
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 contextcodegeex4 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 |
|---|---|---|---|
| codegeex4:9b9B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 5.1 GB | ~6.0 GB |
| codegeex4:9b-all-q4_K_M9B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 5.8 GB | ~6.8 GB |
| codegeex4:9b-all-q5_K_M9B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 6.7 GB | ~7.7 GB |
| codegeex4:9b-all-q6_K9B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 7.7 GB | ~8.9 GB |
| codegeex4:9b-all-q8_09B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 9.3 GB | ~10.6 GB |
| codegeex4:9b-all-fp169B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 17.5 GB | ~19.5 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 codegeex4 locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull codegeex4:9b - 3.Check the source for the build's task. For text generation, run
ollama run codegeex4:9b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about codegeex4
- How much VRAM do I need to run codegeex4?
- At 4K context, the smallest published build of codegeex4 (Q4_0) needs roughly 6.0 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 codegeex4 without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 6.0 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 codegeex4 download?
- The smallest published build is 5.1 GB. There are 6 builds in total, the largest being 17.5 GB. Leave some extra free disk space beyond the download itself.
- How do I run codegeex4 locally?
- Install Ollama, then download a specific build with "ollama pull codegeex4:9b". 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