Mistral AImoe

Mixtral 8x7B

46.7B total / 12.9B active · load estimate uses total • 28.4GB 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

46.7B total / 12.9B active · load estimate uses total

VRAM (Q4 est.)

28.4 GB

VRAM (FP16)

93.4 GB

Context Window

32,768

Architecture

moe

License

Apache-2.0

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Run Mixtral 8x7B on MI100

~28.4GB VRAM needed at Q4. MI100 has 32GB — buy hardware or rent cloud.

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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

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Mistral AImoe

Mixtral 8x7B

46.7B total / 12.9B active · load estimate uses total • 28.4GB 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.