Ollama Library · llama
Can I run codebooga?
A high-performing code instruct model created by merging two existing code models.
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 contextcodebooga 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 |
|---|---|---|---|
| codebooga:34b34B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 17.7 GB | ~20.3 GB |
| codebooga:34b-v0.1-q4_K_M34B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 18.8 GB | ~21.5 GB |
| codebooga:34b-v0.1-q5_K_M34B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 22.2 GB | ~25.1 GB |
| codebooga:34b-v0.1-q6_K34B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 25.8 GB | ~29.0 GB |
| codebooga:34b-v0.1-q8_034B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 33.4 GB | ~37.2 GB |
| codebooga:34b-v0.1-fp1634B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 62.9 GB | ~69.0 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 codebooga locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull codebooga:34b - 3.Check the source for the build's task. For text generation, run
ollama run codebooga:34b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about codebooga
- How much VRAM do I need to run codebooga?
- At 4K context, the smallest published build of codebooga (Q4_0) needs roughly 20.3 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 codebooga without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 20.3 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 codebooga download?
- The smallest published build is 17.7 GB. There are 6 builds in total, the largest being 62.9 GB. Leave some extra free disk space beyond the download itself.
- How do I run codebooga locally?
- Install Ollama, then download a specific build with "ollama pull codebooga:34b". 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 codebooga 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