DeepSeek R1 14B
by DeepSeek · deepseek-r1 family
14B
parameters
text-generation code-generation reasoning math
DeepSeek R1 14B is a distilled reasoning model based on the Qwen 2.5 14B architecture, trained to replicate the chain-of-thought reasoning capabilities of the full DeepSeek R1 671B model. It offers a substantial reasoning improvement over the 7B variant. This model is particularly strong at mathematical reasoning, competitive programming problems, and scientific analysis. It fits comfortably on GPUs with 16GB VRAM at Q4 quantization, making it one of the most accessible dedicated reasoning models available.
Quick Start with Ollama
ollama run 14b-q4_K_M | Creator | DeepSeek |
| Parameters | 14B |
| Architecture | transformer-decoder |
| Context | 128K tokens |
| Released | Jan 20, 2025 |
| License | MIT |
| Ollama | deepseek-r1:14b |
Quantization Options
| Format | File Size | VRAM Required | Quality | Ollama Tag |
|---|---|---|---|---|
| Q4_K_M rec | 7.1 GB | 9.9 GB | | 14b-q4_K_M |
| Q5_K_M | 8.2 GB | 11.3 GB | | 14b-q5_K_M |
| Q8_0 | 12.6 GB | 16 GB | | 14b-q8_0 |
Compatible Hardware
Q4_K_M requires 9.9 GB VRAM
Benchmark Scores
79.7
mmlu