MetaLlama 3.2 1B Instruct on NVIDIA RTX 4070 Laptop (80-115W)
Yes — RTX 4070 Laptop (80-115W) runs Llama 3.2 1B Instruct excellently at Q8_0 — 67 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
1.24B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on NVIDIA RTX 4070 Laptop (80-115W) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 67 tok/s | 86ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Sustained post-thermal-throttle performance. TDP-capped laptop variant.
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.
View all Llama 3.2 1B Instruct 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.