MistralMistral 7B Instruct v0.3 on NVIDIA GeForce RTX 4080 Super
Yes — RTX 4080 Super runs Mistral 7B Instruct v0.3 excellently at Q8_0 — 78 tok/s. 16 GB VRAM with plenty of headroom.
Model Size
7.24B
Device VRAM
16 GB
Bandwidth
736 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral 7B Instruct v0.3 on NVIDIA GeForce RTX 4080 Super at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 78 tok/s | 80ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
Full Q8 7B. Capable performance on 16GB.
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 4080 Super
NVIDIA GeForce RTX 4080 Super has 16 GB at 736 GB/s. Street price: $979.
See all models NVIDIA GeForce RTX 4080 Super can run →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.