Ollama Library · llama
Can I run r1-1776?
A version of the DeepSeek-R1 model that has been post trained to provide unbiased, accurate, and factual information by Perplexity.
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 contextr1-1776 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 |
|---|---|---|---|
| r1-1776:70b70B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 39.6 GB | ~44.4 GB |
| r1-1776:70b-distill-llama-q8_070B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 69.8 GB | ~77.1 GB |
| r1-1776:70b-distill-llama-fp1670B parameters (tag)128K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 131.4 GB | ~143.6 GB |
| r1-1776:671b671B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 376.7 GB | ~426.2 GB |
| r1-1776:671b-q8_0671B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 664.3 GB | ~736.9 GB |
| r1-1776:671b-fp16671B parameters (tag)4K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 1250.1 GB | ~1369.5 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 r1-1776 locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull r1-1776:70b - 3.Check the source for the build's task. For text generation, run
ollama run r1-1776:70b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about r1-1776
- How much VRAM do I need to run r1-1776?
- At 4K context, the smallest published build of r1-1776 (Q4_K_M) needs roughly 44.4 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 r1-1776 without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 44.4 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 r1-1776 download?
- The smallest published build is 39.6 GB. There are 6 builds in total, the largest being 1250.1 GB. Leave some extra free disk space beyond the download itself.
- How do I run r1-1776 locally?
- Install Ollama, then download a specific build with "ollama pull r1-1776:70b". 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 r1-1776 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