DeepSeek R1 Distill 8B
DeepSeek · DeepSeek
A distilled version of DeepSeek's R1 reasoning model that inherits chain-of-thought problem-solving capabilities in a compact 8B package. One of the few small models that can reliably work through multi-step math and logic problems without external tooling.
Params
8B
License
MIT
Context
128K
Min VRAM
5 GB
Min RAM
8 GB
Tier
Standard
Run locally with Ollama
ollama run deepseek-r1:8bOnce running, Ollama exposes an OpenAI-compatible endpoint at localhost:11434/v1.
Will it run on my hardware?
DeepSeek R1 Distill 8B needs about 5 GB of fast memory at Q4. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
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Specifications
| Parameters | 8B |
|---|---|
| Context window | 128K |
| License | MIT |
| Min VRAM (Q4) | 5 GB |
| Min RAM | 8 GB |
| Recommended tier | Standard |
| Best for | reasoningcodinganalysis |
Variants on Ollama
Ollama serves the Q4_K_M quantization by default. Higher-precision tags exist for users with more memory.
DeepSeek R1 Distill 8B
ollama run deepseek-r1:8bollama pull deepseek-r1:q8_0ollama pull deepseek-r1:fp16Exact quantization tags vary per model — run ollama show deepseek-r1 or check the tags page for the full list.
Popularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
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