MistralMixtral 8x7B Instruct on NVIDIA RTX 4060 Laptop (40-60W)
RTX 4060 Laptop (40-60W) cannot run Mixtral 8x7B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
46.7B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mixtral 8x7B Instruct on NVIDIA RTX 4060 Laptop (40-60W) at Q4_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q4_K_M
Does not fit in 8GB laptop VRAM.
About Mixtral 8x7B Instruct
Mixtral 8x7B Instruct (46.7B) is a chat, coding, reasoning, multi-purpose model. Mixture-of-Experts model: 46.7B total params but only ~12.9B active per token. Quality closer to a 13B dense model with inference speed to match. Needs more VRAM for the full weight set though.
View all Mixtral 8x7B Instruct hardware options →About NVIDIA RTX 4060 Laptop (40-60W)
NVIDIA RTX 4060 Laptop (40-60W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4060 Laptop (40-60W) 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.