LLMLocal inference
Mistral 7B
VRAM requirements to run Mistral 7B locally at each quantization level. Find the cheapest GPU that fits below.
Q4 VRAM
4 GB
Q8 VRAM
8 GB
FP16 VRAM
14 GB
Context window
32 k tokens
01 // GPUs that can run Mistral 7B
Cheapest compatible hardware by quantization
Sorted cheapest first. All prices are approximate street prices.
Q4Q4_K_M (4-bit)
needs ≥4 GB VRAMGPUVRAMPriceTier
Q8Q8_0 (8-bit)
needs ≥8 GB VRAMGPUVRAMPriceTier
FP16FP16 (full precision)
needs ≥14 GB VRAMGPUVRAMPriceTier
02 // Frequently asked
Mistral 7B GPU questions
How much VRAM does Mistral 7B need?
Mistral 7B requires approximately 4GB VRAM at Q4 quantization, 8GB at Q8, or 14GB at full FP16 precision. Q4 is the most practical choice for consumer hardware.
What is the cheapest GPU to run Mistral 7B?
The cheapest single GPU that fits Mistral 7B at Q4 is the GeForce RTX 3060 12GB (12GB VRAM, ~$249). At Q4 you need at least 4GB.
Can I run Mistral 7B at FP16?
Yes. Mistral 7B at FP16 requires 14GB VRAM. Several workstation GPUs (48–96GB) can handle this on a single card.
What quantization is best for Mistral 7B?
Q4_K_M (4GB) offers the best hardware compatibility and still produces high-quality output. Q8_0 (8GB) is better for tasks needing higher accuracy at the cost of needing more VRAM. FP16 (14GB) is only practical on very high-end workstation hardware.