# DeepSeek-R1-Distill-Qwen 32B: RAM and VRAM requirements

> DeepSeek-R1-Distill-Qwen 32B is a 32B DeepSeek-R1-Distill model. At Q4_K_M it needs about **22.1 GB** to run and fits **11 of 39** tracked devices. Minimum to run: Nvidia GeForce RTX 4090 (24GB).

Last validated: 2026-06-15. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 19.85 GB | ~22.1 GB |
| Q8_0 | 34.82 GB | ~37 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **Generic Android Phone (8GB RAM)** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): No, not enough memory
- **Nvidia GeForce RTX 4080 (16GB)** (16 GB): No, not enough memory
- **Google Pixel 10 Pro** (16 GB): No, not enough memory
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): Yes, but tight
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs — room for FP16

Full table of all 39 devices: https://localmodel.run/model/deepseek-r1-distill-qwen-32b

## How to run
Quickest path: `ollama run deepseek-r1:32b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 32B
- Default context: 128k tokens
- License: MIT (commercial use: yes)
- Released: 2025-01
- HuggingFace: 397,409 downloads/mo, 1566 likes

## FAQ
### How much VRAM or RAM does DeepSeek-R1-Distill-Qwen 32B need?
About 22.1 GB at Q4_K_M (weights 19.85 GB + KV cache + overhead) at a 4k context. Budget ~37 GB for Q8_0.
### Can DeepSeek-R1-Distill-Qwen 32B run on a laptop?
DeepSeek-R1-Distill-Qwen 32B is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use DeepSeek-R1-Distill-Qwen 32B commercially?
Yes, MIT permits commercial use.

Sources: https://ollama.com/library/deepseek-r1, https://huggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF, https://github.com/deepseek-ai/DeepSeek-R1
More: https://localmodel.run/model/deepseek-r1-distill-qwen-32b