DeepSeek R1 Distill Qwen 1.5B
Smallest R1 distill. Surprisingly capable reasoning at 1.5B for its size class; right pick when you need reasoning AND edge deployment.
Overview
Smallest R1 distill. Surprisingly capable reasoning at 1.5B for its size class; right pick when you need reasoning AND edge deployment.
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
- Reasoning at edge / phone tier
- Apache 2.0
Weaknesses
- 1.5B is the hard ceiling on reasoning depth
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 | 1.0 GB | 2 GB |
Get the model
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 1.5B.
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 1.5B?
Can I use DeepSeek R1 Distill Qwen 1.5B commercially?
What's the context length of DeepSeek R1 Distill Qwen 1.5B?
Source: huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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