DeepSeek R1 Distill Qwen 3 32B
Newer R1 distill on a Qwen 3 base. Combines R1 reasoning with Qwen 3's reasoning-toggle architecture. Apache 2.0.
Overview
Newer R1 distill on a Qwen 3 base. Combines R1 reasoning with Qwen 3's reasoning-toggle architecture. Apache 2.0.
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
- R1 reasoning + Qwen 3 base
- Apache 2.0
Weaknesses
- Newer ecosystem than the original Qwen 2.5 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 |
|---|---|---|
| AWQ-INT4 | 19.0 GB | 22 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 3 32B.
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 3 32B?
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Source: huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen3-32B
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