Ollama Library · llama
Can I run megadolphin?
MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.
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 contextmegadolphin 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 |
|---|---|---|---|
| megadolphin:120b120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 63.1 GB | ~70.7 GB |
| megadolphin:120b-v2.2-q4_K_M120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 67.2 GB | ~75.1 GB |
| megadolphin:120b-v2.2-q5_K_M120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 79.2 GB | ~88.1 GB |
| megadolphin:120b-v2.2-q6_K120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 91.9 GB | ~101.9 GB |
| megadolphin:120b-v2.2-q8_0120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 119.1 GB | ~131.2 GB |
| megadolphin:120b-v2.2-fp16120B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 224.1 GB | ~244.6 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 megadolphin locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull megadolphin:120b - 3.Check the source for the build's task. For text generation, run
ollama run megadolphin:120b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about megadolphin
- How much VRAM do I need to run megadolphin?
- At 4K context, the smallest published build of megadolphin (Q4_0) needs roughly 70.7 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 megadolphin without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 70.7 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 megadolphin download?
- The smallest published build is 63.1 GB. There are 6 builds in total, the largest being 224.1 GB. Leave some extra free disk space beyond the download itself.
- How do I run megadolphin locally?
- Install Ollama, then download a specific build with "ollama pull megadolphin:120b". 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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Compare with similar models
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