Mistral AItransformer

Mistral 7B

7B parameters • 4.3GB VRAM (Q4 estimate) • 32,768 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.

Specifications

Parameters

VRAM (Q4 est.)

4.3 GB

VRAM (FP16)

14 GB

Context Window

32,768

Architecture

transformer

License

Apache-2.0

Finding cloud alternatives...

Run Mistral 7B on Tesla K20c

~4.3GB VRAM needed at Q4. Tesla K20c has 5GB — buy hardware or rent cloud.

Amazon eBay Compare cloud prices

We may earn a commission from cloud and hardware partners at no extra cost to you.

Find the cheapest GPU that can run Mistral 7B

Compatibility Lab — check every GPU × quantization combination

→

Run Mistral 7B on...

GB200 NVL72✅ Fits Lambda Labs 1-Click Cluster (8x H100)✅ Fits Google Cloud A3 (8x H100)✅ Fits Azure ND H100 v5 (8x H100)✅ Fits AWS EC2 P5 Instance (8x H100)✅ Fits NVIDIA DGX H100✅ Fits

VRAM Calculator→GPU Comparison→Cloud GPU Pricing→

← Back to Models

Mistral AItransformer

Mistral 7B

7B parameters • 4.3GB VRAM (Q4 estimate) • 32,768 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.