DeepSeek R1 Distill Qwen 14B
14B reasoning distill. Fits on 12GB cards.
Overview
14B reasoning distill. Fits on 12GB cards.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- MIT
- Reasoning on 12GB
Weaknesses
- Reasoning quality below 32B distill
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 8.4 GB | 11 GB |
Get the model
Ollama
One-line install
ollama run deepseek-r1:14bRead our Ollama review →HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of DeepSeek R1 Distill Qwen 14B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run DeepSeek R1 Distill Qwen 14B?
Can I use DeepSeek R1 Distill Qwen 14B commercially?
What's the context length of DeepSeek R1 Distill Qwen 14B?
How do I install DeepSeek R1 Distill Qwen 14B with Ollama?
Source: huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.
Related — keep moving
Verify DeepSeek R1 Distill Qwen 14B runs on your specific hardware before committing money.