MistralMixtral 8x7B Instruct on AMD Radeon RX 7600
AMD Radeon RX 7600 cannot run Mixtral 8x7B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
46.7B
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Mixtral 8x7B Instruct on AMD Radeon RX 7600 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
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. Q2_K needs ~16.4GB and relies on offloading on this card. MoE models still have to load the full expert pool into memory.
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 AMD Radeon RX 7600
AMD Radeon RX 7600 has 8 GB at 288 GB/s. Street price: $239.
See all models AMD Radeon RX 7600 can run →Estimate method: Estimated from rtx-4060-8gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
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.