MetaLlama 3.1 70B Instruct on NVIDIA RTX 4070 Laptop (80-115W)
RTX 4070 Laptop (80-115W) cannot run Llama 3.1 70B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
70.6B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.1 70B Instruct 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 Llama 3.1 70B Instruct
Llama 3.1 70B Instruct (70.6B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-class open model. Approaches GPT-4 quality on many benchmarks. Requires significant VRAM; 48 GB+ recommended for usable quantizations. Well suited for serious local deployment.
View all Llama 3.1 70B 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.