MistralMistral Small 24B Instruct on NVIDIA RTX 4070 Laptop (80-115W)
RTX 4070 Laptop (80-115W) cannot run Mistral Small 24B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
24B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Small 24B Instruct on NVIDIA RTX 4070 Laptop (80-115W) at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
Does not fit in 8GB laptop VRAM.
About Mistral Small 24B Instruct
Mistral Small 24B Instruct (24B) is a chat, coding, reasoning model. Mistral's efficient 24B model with chat, coding, and reasoning capabilities.
View all Mistral Small 24B Instruct hardware options →About NVIDIA RTX 4070 Laptop (80-115W)
NVIDIA RTX 4070 Laptop (80-115W) has 8 GB at 256 GB/s. Street price: $0.
See all models NVIDIA RTX 4070 Laptop (80-115W) 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.