Ollama Library · starcoder2
Can I run dolphincoder?
A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.
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 contextdolphincoder 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 |
|---|---|---|---|
| dolphincoder:7b7B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 3.9 GB | ~4.9 GB |
| dolphincoder:7b-starcoder2-q4_K_M7B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 4.3 GB | ~5.3 GB |
| dolphincoder:7b-starcoder2-q5_K_M7B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 4.9 GB | ~6.0 GB |
| dolphincoder:7b-starcoder2-q6_K7B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 5.7 GB | ~6.8 GB |
| dolphincoder:7b-starcoder2-q8_07B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 7.3 GB | ~8.6 GB |
| dolphincoder:15b15B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 8.4 GB | ~9.8 GB |
| dolphincoder:15b-starcoder2-q4_K_M15B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 9.2 GB | ~10.6 GB |
| dolphincoder:15b-starcoder2-q5_K_M15B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 10.6 GB | ~12.2 GB |
Showing the 8 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 dolphincoder locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull dolphincoder:7b - 3.Check the source for the build's task. For text generation, run
ollama run dolphincoder:7b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about dolphincoder
- How much VRAM do I need to run dolphincoder?
- At 4K context, the smallest published build of dolphincoder (Q4_0) needs roughly 4.9 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 dolphincoder without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 4.9 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 dolphincoder download?
- The smallest published build is 3.9 GB. There are 12 builds in total, the largest being 29.7 GB. Leave some extra free disk space beyond the download itself.
- How do I run dolphincoder locally?
- Install Ollama, then download a specific build with "ollama pull dolphincoder:7b". 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