MistralMistral 7B Instruct v0.3 on NVIDIA GeForce RTX 4070 Super
Yes — RTX 4070 Super runs Mistral 7B Instruct v0.3 excellently at Q5_K_M — 50 tok/s. 12 GB VRAM with plenty of headroom.
Model Size
7.24B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral 7B Instruct v0.3 on NVIDIA GeForce RTX 4070 Super at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 50 tok/s | 130ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
7B at Q5. Capable everyday performance on 12GB.
About Mistral 7B Instruct v0.3
Mistral 7B Instruct v0.3 (7.24B) is a chat, coding, multi-purpose model. Fast and capable 7B model with sliding window attention. Good all-rounder, slightly behind Llama 3.1 8B on most benchmarks but fully open-source under Apache 2.0.
View all Mistral 7B Instruct v0.3 hardware options →About NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Estimate method: Community benchmarks and estimated performance. Reference hardware source: github.com (2026-03-01)
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.