DeepSeekDeepSeek R1 Distill Qwen 32B on NVIDIA RTX 4070 Laptop (80-115W)
RTX 4070 Laptop (80-115W) cannot run DeepSeek R1 Distill Qwen 32B. 8 GB VRAM is insufficient at any quantization level.
Model Size
32.5B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek R1 Distill Qwen 32B on NVIDIA RTX 4070 Laptop (80-115W) at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Does not fit in 8GB laptop VRAM.
About DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B (32.5B) is a reasoning, coding, chat model. Distilled reasoning model with capable coding and chat performance.
View all DeepSeek R1 Distill Qwen 32B hardware options →About NVIDIA RTX 4070 Laptop (80-115W)
NVIDIA RTX 4070 Laptop (80-115W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4070 Laptop (80-115W) can run →Estimate method: Community laptop benchmarks and thermal throttle reports. Reference hardware source: reddit.com (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.