MistralMixtral 8x7B Instruct on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB cannot run Mixtral 8x7B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
46.7B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mixtral 8x7B Instruct on NVIDIA GeForce RTX 4060 8GB 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
46.7B total params. Not viable on 8GB.
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 GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: 46.7B total MoE. Even Q4 needs ~26GB. Reference hardware source: github.com (2026-03-15)
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.